吴佳浩Alben 99bcd3e4e0 fix(javascript): report empty Electron coverage instead of silent zeroes (#8332)
* fix(javascript): report empty Electron coverage instead of silent zeroes

`analyze_javascript_application` reported `browser_windows: 0` and
`ipc.operations: 0` with only generic partial/unknown flags, so a bundle that
imports `electron` but whose Electron facts were not recovered read exactly like
an application with no IPC at all. Issue #8201 is that false negative on a real
Rolldown bundle.

Two additions, both scoped to "Electron is referenced but nothing was recovered":

**A machine-readable indicator.** `electron_summary` gains
`electron_semantics: "recovered" | "empty"`. It is absent when no analyzed source
links an Electron module, so its presence distinguishes "not an Electron
application" from "Electron coverage is empty". It follows the existing
`protocol_registrations.exactOptional()` precedent, so previously captured
evidence stays valid.

**A graph limitation.** The limitation list already carried a note when at least
one Electron fact was recovered but said nothing when zero were. It now states
that zero IPC operations and zero BrowserWindows mean empty coverage rather than
absence.

`electronModuleReferenced` is the single owner of the module test. It reuses
`ELECTRON_MODULE`, which matches exactly the supported entry points (`electron`,
`electron/common`, `/main`, `/renderer`, `/utility`), so `electron-helper` does
not count, and it ignores type-only links because importing Electron types
promises no boundary fact.

Five tests cover recovered, empty, not-referenced, type-only, and supported
subpath versus unrelated package. The empty, recovered and type-only cases fail
on unmodified `main`.

* chore: retrigger title and readiness checks after the title was corrected

* fix(javascript): report Electron coverage from retained facts

Four review findings on the coverage indicator.

**A rejected application projection hid the reference.** A file whose expanded
relationships exceed the result budget is replaced by a placeholder with no
module links before the summary runs, while `graphLimitations` reads the raw
analysis. The same response could then warn in prose and omit the field. The
summary now takes the retained analysis for coverage only, and both outputs
read one `electronSemanticsState`, so they cannot disagree.

**A skipped semantic analysis hid the reference too.** `electronModuleReferenced`
read only `semantic.ir.moduleLinks`, which is absent when semantic analysis is
skipped for a budget and drops `import("electron")` or `module.require("electron")`
forms. It now falls back to the retained `javascript.references`, which the static
producer records for those inputs, while still excluding `type-import` links when
the richer owner is available.

`electronBoundaryFactCount` is now the single owner of the fact total, replacing a
duplicate inline reduce in the graph builder.

**Omission no longer claims absence.** The schema comment said a missing
`electron_semantics` means the application does not use Electron. The predicate
only establishes that no retained fact names one, and unread sources, failed
analysis, and dynamic module names can hide its use, so the contract now says
unknown.

Two regressions cover a rejected projection and a skipped semantic analysis; both
fail on the previous commit.

* fix(javascript): count a dynamic Electron import as coverage

Review finding: `electronModuleReferenced` returned as soon as module links
existed, so a literal dynamic import was ignored. Verified against the two fact
owners:

    import("electron")   -> references: [dynamic-import electron]
                            moduleLinks: []
    require("electron")  -> references: [require electron]
                            moduleLinks: [require electron]

An application that only loads Electron through `import("electron")` therefore
got neither `electron_semantics: "empty"` nor the empty-coverage warning, and the
zero counts stayed unexplained.

The two owners now answer their own half instead of one short-circuiting the
other. Module links answer a runtime static import or require and keep excluding
`type-import`; the retained reference is read for every kind except
`static-import`, which is exactly the type-only risk. A dynamic specifier is
still never counted by either owner, so this remains an observed-reference claim
rather than an absence claim.

The regression uses `import("electron")` and fails on the previous commit.

* fix(javascript): read only module-loading Electron references

Two review findings, both verified against the static reference producer.

**A retained runtime static import was skipped.** The excluded kind was meant to
protect the type-only distinction, but the static analyzer records a whole
`import type { IpcMain } from "electron"` declaration as no reference at all:

    import type { IpcMain } from "electron"   -> references: []
    import { app } from "electron"            -> references: [static-import electron]
    require("electron")                       -> references: [require electron]
    import("electron")                        -> references: [dynamic-import electron]
    new Worker(new URL("electron", m))        -> references: [worker electron]

When semantic analysis is skipped for a budget the module links are absent, so
that exclusion dropped a real runtime ESM import and left the zero counts
unexplained.

**A worker URL path is not an Electron module.** `new Worker(new
URL("electron", import.meta.url))` records a `worker` reference whose specifier is
a path relative to the importing source, so counting it reported an ordinary
worker file as `electron_semantics: "empty"`.

`ELECTRON_REFERENCE_KINDS` is now an explicit allowlist of the kinds that load a
module by package specifier — `static-import`, `dynamic-import` and `require` —
so `worker` and `service-worker` URL paths are excluded. Module links are still
read first for the type-only distinction.

Three regressions cover a skipped-semantics ESM import, a skipped-semantics whole
type-only import, and a worker URL path; two of them fail on the previous commit.

* fix(javascript): own Electron applicability in the static producer

Review finding. A `worker` reference records a URL relative to the importing
source, so `new Worker(new URL("electron", import.meta.url))` names a local file
and is not an Electron module. The boundary owner already read only module-loading
reference kinds, but `finalizeStaticAnalysis` still treated every matching static
reference as `analysis_coverage.applicability.electron: "observed"`, which
`javascriptStaticSourceCoverageSummary` publishes. One response could therefore
say Electron was observed in its coverage view while the Electron summary omitted
`electron_semantics`.

`ELECTRON_REFERENCE_KINDS` now lives next to `ELECTRON_MODULE` in the domain owner
and is consumed by both the static producer and the Electron boundary owner, so the
two outputs cannot disagree. A worker URL path is `unknown` for both, while a
`require("electron")` is `observed` for both.

The regression asserts the domain applicability fact and the boundary summary agree
for a worker URL path; it fails when the producer stops filtering by kind.

* fix(javascript): require a loaded Electron module for applicability

Review finding. A CommonJS `require.resolve("electron")` records a `require`
reference with `operation: "resolve"`: it locates the module without loading it,
so no Electron boundary fact is expected. Both predicates dropped the operation,
so such a source reported `electron_semantics: "empty"` and the missing-coverage
warning even though Electron was never loaded.

Measured on the static producer:

    require.resolve("electron")  -> references: [require resolve electron]
                                    applicability.electron: unknown
    require("electron")          -> references: [require load electron]
                                    applicability.electron: observed
    import("electron")           -> references: [dynamic-import load electron]
                                    applicability.electron: observed

`electronModuleReferenced` and `finalizeStaticAnalysis` now both require
`operation === "load"`, so the boundary summary and the coverage view stay aligned
and reachability-only references no longer claim missing coverage.

The regression asserts a resolve-only source produces neither the field nor the
warning, and it fails when the operation check is removed.

* fix(javascript): classify Electron loads in the static fact owner

Review finding, and the correct home for the previous two rounds of the same
complaint. A Webpack/Rspack factory may name a local module `"electron"`, and the
static producer then records a loaded `require` reference whose specifier is that
bundle module key. Treating the key as a package specifier reported
`electron_semantics: "empty"` plus the missing-coverage warning for a bundle that
never loads Electron.

Three changes, all in the domain owner, so no consumer re-derives the question:

- `JavaScriptModuleRangeIndex.hasKey` answers whether a specifier is a recovered
  bundle module key. A `require` whose specifier is such a key loads a module
  inside the artifact.
- `electronObserved` in `finalizeStaticAnalysis` now requires a loaded module-load
  reference whose specifier is not a bundle key. The published
  `analysis_coverage.applicability.electron` therefore owns every exclusion:
  `type-import`, `require.resolve`, `worker`/`service-worker` URL paths, and
  bundle-local keys.
- `electronModuleReferenced` consumes that owned fact instead of re-deriving it,
  keeping the boundary summary and the coverage view from disagreeing. Historical
  evidence without the field still falls back to the retained references.

Measured:

    bundle-local module ID "electron"  -> applicability unknown
    require("electron")                -> applicability observed
    webpack external n(45840)          -> applicability observed

The regression covers both the local key and the real external in the same
factory shape; it fails without the bundle-key exclusion.

* fix(javascript): identify a bundle module by its loader, not its key

Both review findings were right, and they show why the previous key-set approach
was wrong: bundle-key membership is a property of the file, but whether a
specifier names a module inside the artifact is a property of the reference.

`JavaScriptStaticReference` now records the loader that produced it, and
`electronObserved` excludes `factory-loader` references instead of every specifier
that happens to match a recovered module key. Measured on Node 24.22.1:

    local module keyed "electron"                 -> unknown  (factory-loader)
    external 45840 = require("electron")          -> observed (commonjs-loader)
    factory keyed "electron" that loads the pkg   -> observed (commonjs-loader)

The third case is the regression: a bundle whose factory is *named* `"electron"`
but whose body does `e.exports = require("electron")` is a real Electron load, and
the old key-set check suppressed it. The real load keeps its `commonjs-loader`
identity even when the same specifier also names a factory, so one response can
rely on the loader while the other relies on the key without either lying.

`JavaScriptModuleRangeIndex.hasKey` is removed; it answered the wrong question.

One regression covers all three shapes and fails when the `factory-loader`
exclusion is dropped.

* fix(javascript): carry the reference loader across the worker boundary

The worker schema is strict, so the new `loader` field broke the worker handshake:
`unrecognized_keys` on every `references` entry. That surfaced in CI as both a
worker-schema test failure and a package-baseline failure reporting
`worker_failure_reason: "io"` for a one-file Electron app.

`referenceShape` now accepts the same three loader identities as the domain type, so
the fact survives the worker boundary instead of collapsing every analysis to an
execution failure.

Verified: `JavaScriptAnalysisWorkerSchemas.test.ts` 10 passed, and the full
domain/application/javascript suite is 5484 passed | 10 skipped. The remaining
`SourceMapCommand` and `DarwinHelperCache` findings are present on unmodified
`main` and are not from this change.

* fix(javascript): remove the superseded key set and forward a deferred loader

Two review findings.

**The `keys` set is dead.** `JavaScriptModuleRangeIndex.keys` is left over from the
abandoned key-membership approach: the loader-identity refactor removed `hasKey` and
the write in `add`, so nothing reads it. Removed.

**The deferred require path dropped the loader identity.** `requireCallSpecifier`
returns a `loader` for `commonjs-loader`, `factory-loader` and `create-require`, and the
direct `addReference` call forwards it, but `finishModuleRequireCalls` did not. A
`createRequire` loader saved under a member literally named `require` therefore lost
its identity:

    import { createRequire } from "node:module";
    const holder = { require: createRequire(import.meta.url) };
    holder.require("x");

    before: require "x" with loader undefined
    after:  require "x" with loader "create-require"

Three regressions cover it; one fails without the change.

I did **not** change the inline-type-only import case. `isTypeOnlyImportDeclaration`
deliberately keeps a declaration whose bindings are all inline type-only, because
`hasUncertainTypeOnlyModuleSideEffect` reports that decision as
`type-only-module-side-effect` uncertainty: whether TypeScript emits the import depends
on the consumer's compiler options. Narrowing it to erased broke
`javascriptStaticCoverage.test.ts` and `javascriptSemanticAnalysis.require_links.test.ts`,
which assert exactly that contract. If Electron applicability should ignore that
reference, the decision belongs where applicability is derived, not in the shared
declaration predicate — say the word and I will do it there instead.

* fix(javascript): keep a commonjs-loader reference out of the bundle module index

Review finding. `finalizeLocatedFindings` attaches `module_runtime` to every finding
that sits inside a factory module range, whoever produced it. `resolveReference` then
sent every reference carrying `module_runtime` through the bundle-module lookup, so a
real CommonJS load inside a factory body resolved to the local module key that shared
its name:

    "electron": (e, t, n) => { e.exports = require("electron") }

    fact:  specifier "electron", loader "commonjs-loader", module_key "electron"
    before: resolved through the bundle module index to `#module:electron`
    after:  resolves as an external package specifier

Only a `factory-loader` specifier names a recovered bundle module key, which is what
`loader` already records after the loader-identity change. The module lookup is now
gated on it, and an absent `loader` keeps the previous behaviour for older findings.
2026-11-06 15:15:43 +08:00

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REA: Reverse Engineer Anything

One MCP for reverse engineering across binaries, applications, and runtime behavior.

See a feature you like. Understand how it works, down to the binary level.

npm version MCP tool catalog Node.js requirements skills.sh MIT license Discord

morluto%2Frea | Trendshift

Website · Guides · Showcases

Join the REA community on Discord

Quick start · How REA works · What you can analyze · Showcases · Build RL environments · FAQ · Documentation

npx rea-agents setup

Important

Get REA from morluto/rea, rea.tools, or the rea-agents npm package. Follow the installation and release links from these official sources. A similar repository name or copied README does not establish that a download is official.


REA launching its analysis bridge inside Hopper while inspecting a native binary



Discord
Join the Reverse Engineering Community

Discord · Q&A · Show and Tell


See a feature in an app that you want in your own product? Ask your agent to investigate it with REA. It can inspect the app without its source code, explain how the feature works, show the evidence, and build a version for your project.

REA connects your agent to tools for inspecting native binaries, JavaScript and Electron apps, .NET assemblies, and websites. You can also use the same tools from your terminal. Analysis runs locally, and results include the evidence and limitations behind each conclusion.

Setup registers REA with your agent and installs matching workflow instructions. Native analysis can use an existing Hopper, Ghidra, IDA or Kuna installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs no native analysis engine.

Visit the REA website for setup instructions, illustrated guides, and real case studies.

Quick start

On Linux, Ghidra, JADX, firmware tool launches and static JavaScript/Electron analysis require a procps-compatible ps on REA's PATH for process ownership checks. Recovery steps are in docs/installation.md under "Linux owned-process prerequisite".

Set up your agent

With Node.js and npm installed, run:

npx rea-agents setup

Choose your agents, review the proposed changes, and approve them. Setup adds REA's MCP server and matching workflow instructions, with backups of existing configuration. Restart your agent afterward. Setup records the selected runtime and REA entry script directly. If acquired through a package runner, keep its cache entry available. Run package acquisition from a trusted directory outside the target project. Installation and recovery details are in the setup guide below.

Setup supports Claude Code, Codex, Cursor, Gemini CLI, Grok Build and other agents. See installation and setup for provider configuration and manual MCP registration and Claude Code/Codex plugin installation.

MCP uses compact input schemas by default to reduce context overhead. Set REA_MCP_INPUT_SCHEMA_PROFILE=full in your MCP registration when you need the complete advertised field guidance and nested validation details. Both profiles keep the full tool set and canonical server validation. See "Compact input schema profile" in the MCP contracts guide.

Complete output schemas are advertised by default. If your client caps the complete tools/list frame, set REA_MCP_OUTPUT_SCHEMA_PROFILE=compact to bound each advertised output schema, or off to omit output schemas entirely. Both settings keep canonical server-side validation and complete structured results. See "Output schemas" in the MCP contracts guide.

Ask your agent

Understand how search works in the Notes app, show me the evidence, and build a
similar feature for my project.

Replace Notes with your target app and the feature you want to understand.

Use the terminal

Inspect an extracted JavaScript/Electron app directory or ASAR:

npx -y rea-agents@latest analyze-javascript-application /absolute/path/to/app --json

The result includes modules, imports, Electron boundaries and their evidence. Replace the path with your target, such as "D:/apps/example" on Windows.

To install the rea command for regular use:

npm install --global rea-agents
rea --help

For native analysis, configure a provider first. See the CLI and Evidence guide for native commands, provider selection, snapshots and scripting.

Update REA

REA changes quickly, and new releases include frequent bug fixes. Keep your installation up to date.

For a CLI installed with npm install --global or bun add --global:

rea update

rea --update is an alias for this verified workflow and accepts the same global output flags. Use rea update when combining it with other command controls.

Updater commands retain at most 4 MiB of stdout and stderr combined. Oversized metadata replies are rejected after the command exits; verbose installs continue with bounded diagnostics. Human progress output respects terminal backpressure and waits for submitted writes to finish.

Bun global updates require Bun 1.2.17 or later. With an older Bun release, upgrade Bun manually before running rea update.

To refresh your agent registrations and skill, run the setup command printed by the update.

If you use npx, update your agent setup with:

npx rea-agents@latest setup

Review the setup changes and restart your agent. For one-off CLI commands, use npx rea-agents@latest followed by the command. With Bun, use bunx rea-agents@latest in place of npx rea-agents@latest.

How REA works

Your agent calls REA through MCP to inspect the target and trace relevant code. REA returns findings with their evidence. The agent uses them to ask follow-up questions, explain the behavior, or write and test an implementation. CLI commands use the same workflows.

REA investigation flow: your agent asks about a local target, REA inspects and traces it using analysis tools, and the agent uses the returned code, references and unknowns to explain, implement and test.

Open the full-size figure.

What you can analyze

REA requires Node.js 22.x (>=22.23.4), 24.x (>=24.22.1), or 26.12.1+, plus npm. Additional tools and host support depend on the target:

Target What REA returns Requirements and guide
Desktop installations Runtime candidates, supporting files, component markers and next probes Built-in bounded directory/header inspection; desktop applications
Native binaries Pseudocode, assembly, strings, symbols, calls and references Hopper, Ghidra, IDA or Kuna; native analysis
Offline ELF layout Sections, segments, original symbols/relocations and static mitigation candidates Caller-supplied pwntools on Linux x64; binary diagnostics
Go binaries Embedded compiler version, modules, replacements and build settings Built-in static ELF/PE/thin Mach-O inspection; no Go installation required
GPU code objects CUDA/HIP targets, selected kernel parameters and resources, retained PTX text Built-in static ELF/PE/fatbin/CUBIN/PTX inspection; GPU code objects
Model artifacts GGUF / safetensors metadata, tensor declarations and derived totals Built-in header inspection; optional full-file hash; model files
IL2CPP metadata Unity global-metadata.dat assembly images, type and method names and index ranges Built-in static decoding of versions 24, 27, 29, 31 and 39; no Unity required
Godot PCK Archive inventory and extraction, original header/directory facts and selected content identities Built-in static formats 2, 3 and 4; no Godot required
Rust binaries Embedded cargo-auditable crate names, versions, sources and dependency edges Built-in static ELF/PE/thin Mach-O inspection; Rust binaries
PE certificates Authenticode WIN_CERTIFICATE entries and PKCS#7 signer/X.509 identity fields Built-in static PE inspection; PE certificates
PE imports Import and delay-load DLL names, ordinals, IAT RVAs and pefile import hash Built-in static PE inspection; PE imports
ELF notes PT_NOTE/SHT_NOTE owners, types, GNU build-id and ABI-tag fields Built-in static ELF inspection; ELF notes
Binary hardening PIE, NX, RELRO, CFG and related header flags for ELF, PE and Mach-O Built-in static header inspection; binary hardening
Apple IPS crashes .ips metadata, threads, images, registers and documented crash classes Built-in static JSON inspection; Apple IPS
Linux kernel modules .modinfo keys, __versions CRCs, this_module presence, and signature trailer Built-in static ELF inspection; kernel modules
Erlang BEAM IFF chunks, atoms, exports, imports, lambdas and the Code header Built-in static BEAM inspection; Erlang BEAM
WASM artifact Validation, sections, exact import/export WAT forms and decoded WAT Caller-supplied WABT 1.0.42; inspect_wasm_artifact
EVM bytecode Dispatch selectors, byte offsets, inferred arguments and mutability Local raw/hex carrier on Linux x64; offline EVM guide
SQLite databases Tables, columns, indexes, views, triggers and selected ordinary-table rows Local database/WAL snapshot; Node.js 24.x >=24.15 or 26+ with native SQLite limits
Recorded Linux crashes Raw notes, every recorded thread's registers/signals and optional mapping candidates Caller-supplied pwntools on Linux x64; optional GDB/pwndbg; recorded crashes
JavaScript / Electron Modules, imports, source maps, routes, IPC and native add-on relationships Node.js and npm; Linux: procps-compatible ps; application analysis
Websites Page structure, scripts, network observations and requested screenshots A Chrome-family browser; browser analysis
Saved network captures Requests, responses, exposed payloads and source locations HAR or Fiddler Everywhere SAZ; mitmdump on Linux for native mitmproxy; capture guide
.NET assemblies Metadata, CIL instructions, declared native dependencies and build comparisons None (static only); managed-code guide
Android APKs Manifest declarations, classes, decompiled methods and references Headless JADX and a full JDK on Linux/macOS/Windows x64; Android guide
APK signatures v1/v2/v3/v3.1 signers, certificate fingerprints, key rotation and digest self-consistency None (static only); inspect_apk_signature
Android devices Devices, packages, processes, logs, dumps, screen captures, and APK/file transfers Caller-supplied adb (emulator or hardware); ADB guide
JEB projects Engine-backed project units, artifact digests and type/method pseudo-code A caller-started JEB client serving MCP, selected with REA_JEB_MCP_URL; JEB guide
Android resources Decoded manifest, string tables, locales and version facts Caller-supplied Apktool launcher; resource guide
Flutter apps Dart snapshot hash, per-ABI library digests and engine build provenance None (static APK parsing); Flutter guide
Firmware Regions, extraction results and native-analysis handoffs Binwalk / Unblob on Linux; firmware guide
Recorded packets Selected fields, repeated values, filters and decode-as rules Linux: TShark 4.x + prlimit; capture guide
Packet summaries Endpoints, DNS, TLS SNI, protocol distribution and HTTP requests Caller-supplied tshark and capinfos (Linux-verified); pcap guide
Recorded logic signals Decoder annotations, sample ranges and diagnostics Linux: sigrok-cli 0.7.2 + prlimit; signal recordings
Packages and resources File inventories, digests, plists, Apple bundle anatomy and extracted resources Artifact and JavaScript guide, Apple applications
Process behavior Terminal output, interactions, exit and filesystem observations, and run comparisons Linux/macOS with a native PTY; process capture
PyInstaller executables CArchive members, Python version, entry scripts and extracted bytecode None (static only); Python packaged applications

Static JavaScript and .NET inspection read the supplied files without running the application. Runtime capture runs or interacts with the selected target using your user permissions; each runtime guide describes its effects.

For offline native-binary inspection, REA also supports caller-supplied GNU objdump and Rizin. See the reverse-engineering tools guide for provider setup, CLI commands, and Evidence limitations. REA does not install or update either provider.

Native formats and host support vary by provider. See Hopper and Ghidra setup, the IDA guide (including an optional native MCP bridge), the Kuna decompiler guide, and experimental Windows Ghidra support. Ghidra also supports 16-bit DOS analysis. For large binaries, raise the provider's startup deadline with REA_GHIDRA_STARTUP_TIMEOUT_MS or REA_HOPPER_STARTUP_TIMEOUT_MS. For provider selection, see the CLI guide. Check release availability for features added since the latest npm release.

Showcases

Illustrations of the DX-Ball sound-pan, Notion clipboard-bridge, and TH04 bullet-ring showcases

DX-Ball: reconstruct a sound-pan calculation

Follow a sound call into its position-to-pan helper, inspect the instructions, and turn incomplete pseudocode into C. The reconstruction passes 3,205 original-x86 cases and reproduces all 63 compiled function bytes.

Read the case study · Reconstruction repository

Notion: trace the Electron clipboard bridge

Find the renderer's clipboard API, follow it through preload and IPC into the main process, and inspect the rich clipboard format.

Read the case study

TH04: recover a DOS bullet-ring calculation

Inspect the original PC-98 game's 16-bit instructions, recover the fixed and aimed angle calculations, and compare the reconstructed C++ with the historical compiler output.

Read the case study · Reconstruction repository

Build RL environments with REA

Record a web app session, turn its API into tools, and export an environment an AI agent can use. Run it with AgentEnv, then add tasks and reward checks for RL training or evaluation.

Read the guide · Watch the video

If you've used REA on something interesting, we'd love to see it. Share your case in an issue or a pull request, including the target, your question, how REA helped, and what you found.

Build RL environments

Give an AI agent a local environment to practice tasks such as finding an issue or creating a folder, without running the original app. Use it for reinforcement learning (RL) or to test how well an agent completes tasks.

REA turns recorded API requests and responses into tools the agent can call. The environment uses the recorded data and supports changes only when the recording confirms their effects.

With REA set up in your agent, replace the example URL and folder tasks below with your own:

Use REA to build an RL environment from my test web app at
http://127.0.0.1:3000.
Cover listing, creating, renaming, and deleting folders. You may create and
remove test folders. Leave existing data unchanged.
Save it in a folder named my-env. Check which operations work and tell me
how to run it.
Use the command line instead

Use these commands if you already have a file containing the app’s recorded browser requests and responses. Running the result also requires AgentEnv and Docker.

rea environment-build ./session.har ./my-env --name my-env --json
agent-env run ./my-env

REA exports a runnable environment with a basic test to check that it starts and responds. Use it with your RL framework to define task goals, add reward checks, and run training.

Build an environment · Environment reference · Watch the demo on X

FAQ

Which agents can use REA?

Any agent that supports local MCP servers. Setup configures the supported agents; other clients can use manual MCP registration.

Do I need a native analysis engine?

Deep native analysis uses Hopper, Ghidra, IDA or Kuna, depending on the target and operation. Static JavaScript and .NET inspection work without a native analysis engine. Setup can install Hopper after approval; Ghidra, IDA and Kuna use your existing installations. See provider setup for the options and their supported targets.

Do I need to start Hopper first?

REA starts Hopper when an operation needs it. On macOS, a first-run dialog may ask you to choose demo mode or activate your license. Complete that prompt in the same user session before your first CLI/MCP operation or unattended job. Open Hopper manually if needed. See Hopper startup and troubleshooting.

What does installing the skill from skills.sh do?

The skill supplies investigation instructions for your agent. Use npx rea-agents setup to register REA's MCP server and install the matching instructions, then restart your agent. See skill-only installation.

What code does REA return?

Native analysis returns pseudocode and assembly. JavaScript/Electron analysis recovers modules and their relationships. Your agent uses these findings to write and test an implementation; the showcases give worked examples.

Does REA upload my app?

REA analyzes targets locally. Your agent receives the tool results, and its model provider has its own data policy.

What should I do if I hit a bug?

Update first; a recent release may already fix it.

For a CLI installed with npm install --global or bun add --global:

rea update

For agent setup through npx:

npx rea-agents@latest setup

If you're using an agent, complete the setup refresh and restart it. Retry the same task. If the problem persists, open an issue with your REA version, target type, steps to reproduce and error output.

Documentation

Start with the website's worked guides. For exact options, prerequisites and result contracts:

Report vulnerabilities through SECURITY.md.

Star history

🎉 400,000 GitHub stars — thank you!

Thanks to everyone using REA, reporting bugs, requesting features, testing builds, and contributing fixes.

REA GitHub star history

Disclaimer

See DISCLAIMER.md for responsible-use guidance.

The project's position on illegal or unauthorized use covers all REA versions, distribution channels, and platforms; each copy retains its applicable licenses.

REA is for lawful research, education, interoperability, software preservation, and analysis of software you own or are authorized to examine.

Contributing

We'd love your help with REA! Open an issue to report a bug or suggest a feature, or send a pull request to improve the code or docs.

See CONTRIBUTING.md for development setup and checks, testing for verification lanes, and the architecture map for selected layers and dependency paths.

License

MIT

REA-authored code is licensed under MIT. Third-party material retains its own licenses and copyright notices; see Third-party notices for the dependency inventory, preserved license texts, and external-tool terms.

You must legally obtain and be authorized to use commercial tools, including IDA Pro / Hex-Rays decompilers, Hopper, and JEB, under their applicable licenses. REA grants no tool license, key, or activation entitlement. Trials and demos remain subject to vendor terms, including user, feature, automation, and output sharing restrictions. Cracked copies, stolen keys, unauthorized key sharing, and bypassing license restrictions are not authorized. This guidance does not amend MIT or third-party licenses.

Languages
TypeScript 90.7%
JavaScript 5.4%
HTML 1.3%
Python 1.2%
Java 0.9%
Other 0.2%