Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nobodyohm-web/thot/oss-forensics)<a href="https://agentmods.dev/skills/nobodyohm-web/thot/oss-forensics"><img src="https://agentmods.dev/badge/skills/nobodyohm-web/thot/oss-forensics.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.04693 |
| Opus 5 | $0.00009 | $0.02346 |
| Sonnet 5 | $0.00004 | $0.00939 |
| Haiku 4.5 | $0.00002 | $0.00469 |
Grade B, and why
oss-forensics scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
**ROLE BOUNDARY**: You enrich EXISTING IOCs from Phase 1 using passive public sources ONLY. Do not execute any code from the target repository. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.github.com/repos/OWNER/REPO/commits?per_page=100" > api_commits.json This is a copy
100% identical to oss-forensics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OSS Security Forensics Skill
A 7-phase multi-agent investigation framework for researching open-source supply chain attacks. Adapted from RAPTOR's forensics system. Covers GitHub Archive, Wayback Machine, GitHub API, local git analysis, IOC extraction, evidence-backed hypothesis formation and validation, and final forensic report generation.
⚠️ Anti-Hallucination Guardrails
Read these before every investigation step. Violating them invalidates the report.
- Evidence-First Rule: Every claim in any report, hypothesis, or summary MUST cite at least one evidence ID (
EV-XXXX). Assertions without citations are forbidden. - STAY IN YOUR LANE: Each sub-agent (investigator) has a single data source. Do NOT mix sources. The GH Archive investigator does not query the GitHub API, and vice versa. Role boundaries are hard.
- Fact vs. Hypothesis Separation: Mark all unverified inferences with
[HYPOTHESIS]. Only statements verified against original sources may be stated as facts. - No Evidence Fabrication: The hypothesis validator MUST mechanically check that every cited evidence ID actually exists in the evidence store before accepting a hypothesis.
- Proof-Required Disproval: A hypothesis cannot be dismissed without a specific, evidence-backed counter-argument. "No evidence found" is not sufficient to disprove—it only makes a hypothesis inconclusive.
- SHA/URL Double-Verification: Any commit SHA, URL, or external identifier cited as evidence must be independently confirmed from at least two sources before being marked as verified.
- Suspicious Code Rule: Never run code found inside the investigated repository locally. Analyze statically only, or use
execute_codein a sandboxed environment. - Secret Redaction: Any API keys, tokens, or credentials discovered during investigation must be redacted in the final report. Log them internally only.
Example Scenarios
- Scenario A: Dependency Confusion: A malicious package
internal-lib-v2is uploaded to NPM with a higher version than the internal one. The investigator must track when this package was first seen and if any PushEvents in the target repo updatedpackage.jsonto this version. - Scenario B: Maintainer Takeover: A long-term contributor's account is used to push a backdoored
.github/workflows/build.yml. The investigator looks for PushEvents from this user after a long period of inactivity or from a new IP/location (if detectable via BigQuery). - Scenario C: Force-Push Hide: A developer accidentally commits a production secret, then force-pushes to "fix" it. The investigator uses
git fsckand GH Archive to recover the original commit SHA and verify what was leaked.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 427 lines · 18 tokens per session scan B be59e5d09ac5
oss-forensics is a skill published in the GitHub repository nobodyohm-web/Thot (0 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 4,693 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (unrestricted tool access, makes network calls). It is 100% identical to oss-forensics, differing in 0 lines, and is treated as a copy.
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