Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add human-avatar/skills-for-humanity --skill s4h-investigationgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-investigation)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-investigation"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-investigation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-investigation"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-investigation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.01308 |
| Opus 5 | $0.00046 | $0.00654 |
| Sonnet 5 | $0.00018 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
s4h-investigation scanned grade A with 0 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigation
Practical truth-finding methodology: tracing sources, decomposing claims, evaluating evidence, generating rival hypotheses, and triangulating across independent sources. Diagnoses what kind of investigative work is needed and routes to the right tool.
Which tool fits
| You need to... | Tool |
|---|---|
| Trace a claim back to its origin and test how it has changed in transmission | investigation-source-trace |
| Break a complex claim into its smallest independently verifiable parts | investigation-claim-decomposition |
| Evaluate the quality, strength, and completeness of evidence | investigation-evidence-audit |
| Generate the best alternative explanations for the same observations | investigation-counter-hypothesis |
| Verify a claim across genuinely independent sources | investigation-triangulation |
Routing Decision
- "Where does this claim come from? Who first said this?" → investigation-source-trace (trace origin, test source credibility, map distortion in transmission)
- "What exactly is this claiming? What are all the sub-claims inside it?" → investigation-claim-decomposition (decompose → classify → identify load-bearing parts)
- "Is the evidence good? Is there enough of it? Is it the right kind?" → investigation-evidence-audit (evidence type hierarchy, quality, completeness, conflicts of interest)
- "Could something else explain this? Is there another interpretation?" → investigation-counter-hypothesis (rival explanations, decisive tests)
- "Can I verify this from multiple angles? Do independent sources agree?" → investigation-triangulation (classify independence, map convergence/divergence)
- Unclear → investigation-claim-decomposition (surfaces what you're actually trying to verify, then you can route further)
Confirm Direction
After diagnosing which tool fits, use the AskUserQuestion tool to confirm direction. Construct the question dynamically to include your diagnosis:
- Question: "My read: [diagnosed tool] — [one sentence on why it fits]. How would you like to proceed?"
- Header: "Direction"
- Options:
- Yes, run that tool — Execute the diagnosed skill immediately using the context already provided
- Show all options — List every skill in this category with one-line descriptions
- Run all relevant tools — Run multiple investigation lenses on the same claim (e.g., decompose first, then audit evidence)
- Re-diagnose — Revisit the situation description for a different read
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.
- 9d ago First seen · 106 lines · 92 tokens per session scan A bf8f7faa3a3f
s4h-investigation is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 1,308 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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