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docs(skills): emphasize investigation from sparse clues
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@@ -193,10 +193,10 @@ These lifecycle commands are also available through the `ecc` CLI.
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## Docs & Research
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For adaptive public-source investigations, use the
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[`osint-investigation` skill](skills/osint-investigation/SKILL.md) provides a
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self-contained methodology for competing hypotheses, deliberate falsification,
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visual verification, and evidence-based conclusions.
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For public-source investigations starting from sparse clues, use the
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[`osint-investigation` skill](skills/osint-investigation/SKILL.md) to extract
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overlooked leads, connect fragmented evidence, and test competing explanations
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through deliberate falsification and visual verification.
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| Command | What it does |
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|---------|-------------|
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@@ -1,6 +1,6 @@
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---
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name: osint-investigation
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description: Evidence-driven OSINT methodology for multi-step investigations and CTF challenges starting from sparse clues. Use for image/video geolocation, event and timeline reconstruction, public-account and entity verification, artifact interpretation, infrastructure research, or stalled investigations requiring competing hypotheses and deliberate falsification.
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description: Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, image/video geolocation, event reconstruction, public-account and entity verification, artifact interpretation, infrastructure research, or stalled investigations.
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license: CC-BY-SA-4.0
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metadata:
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origin: Adapted from shoyann/RZK-The-Hunter
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@@ -8,16 +8,20 @@ metadata:
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# OSINT Investigation
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Turn sparse clues into testable explanations across images, videos, documents,
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public accounts, maps, archives, and technical records. Choose the next action
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that could change the answer. Preserve original evidence,
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test the leading explanation, and report uncertainty where verification ends.
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A plausible match is a lead until it survives comparison.
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Start with what little is available: a partial sign, a few video frames, a sparse
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public profile, or disconnected records. Extract overlooked details, turn them
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into testable leads, and follow them across images, documents, specialist platforms,
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maps, archives, and technical records. Choose the next action that could change
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the answer. Preserve originals, challenge the leading explanation, and report
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uncertainty where verification ends. A plausible match is a lead until it survives
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comparison; sparse input does not justify invented detail.
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## When to Activate
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- Solve multi-step OSINT CTF challenges or open-source investigations from a photo,
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video clip, document, public profile, domain, or a few disconnected clues.
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- Extract useful leads when an artifact looks uninformative or ordinary searches
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return nothing: partial text, background details, identifiers, and source context.
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- Determine a public scene's location, camera direction, or historical appearance:
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distinguish the exact station, building, landmark, or street from lookalikes.
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- Reconstruct an event and its timeline: identify the gathering, city, and date
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@@ -105,6 +109,13 @@ Do not abandon an unread original because a search result seems convincing.
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Keep credible alternatives, including unresolved/other; do not invent candidates
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to fill a table.
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With sparse input, separate what is visible from what it might mean. For each
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promising fragment, identify the source that could explain it and the observation
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that would reject that reading. A partial sign may lead to an organizer's programme;
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a model identifier to a manufacturer record. Follow the relationship each source
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can establish, verifying the connecting clue before treating the next record as
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part of the same case. An empty profile or search result does not exhaust an artifact.
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Each inference built on an untested anchor creates **hypothesis debt**. Test the
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anchor before expanding dependent details; repeating a claim does not repay it.
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Track case readiness separately: **collecting, hypothesizing, falsifying,
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