Borrowing it
Nothing to install: this file belongs to rjmurillo/ai-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rjmurillo/ai-agents/main/.claude/skills/ai-agents-external-claims/SKILL.mdgit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/ai-agents-external-claims)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/ai-agents-external-claims"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/ai-agents-external-claims/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/rjmurillo/ai-agents/ai-agents-external-claims"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/ai-agents-external-claims.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00126 | $0.02791 |
| Opus 5 | $0.00063 | $0.01396 |
| Sonnet 5 | $0.00025 | $0.00558 |
| Haiku 4.5 | $0.00013 | $0.00279 |
Grade B, and why
ai-agents-external-claims scanned grade B with 1 finding 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 today.
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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
| Flag-with-a-hypothesis provenance discipline | `.claude/rules/voice.md`, "Ownership: See Something, Say Something" | `grep -n "See Something" .claude/rules/voice.md` | How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-agents External Claims
This repo runs verification-based governance: a claim is true when a primary source, gate, or command output says it is, not when a vendor blog, a summary, or an agent asserts it. This skill is the front-gate for one specific claim class: external, vendor, and third-party assertions that arrive from outside the repo and are about to land inside a repo artifact (an ADR, a retro, a memory, a PR description, a session log) or an external deliverable. A wrong number un-cited from a published artifact costs more than the one or two fetches that would have caught it in the same pass.
Audience: a zero-context contributor (human or model) holding an external claim and deciding whether it may enter a durable artifact.
This skill is the discipline for verifying claims that originate OUTSIDE the repo. For proving an idea that originates inside the repo (hypothesis, probe, eval baseline), use ai-agents-research-methodology. For what counts as test evidence for code, use ai-agents-validation-and-qa. This skill hardens the general-purpose gstack claim-verification-before-ingest pattern into the repo's own artifact-ingest path.
Triggers
verify an external claimcheck a vendor numberis this stat realvalidate a third-party citation
Scope Boundaries
| You want | Use instead |
|---|---|
| Prove a repo-internal idea (probe, eval, ADR debate) | ai-agents-research-methodology |
| Decide what counts as test evidence for a code change | ai-agents-validation-and-qa |
| Scan a file for CWE-78 command injection | security-scan |
| Stop a deliverable that no consumer demanded | avoiding-manufactured-work |
| Gate work before it starts, not after it appears done | front-gate-before-pipeline |
What ships with it
1 file 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.
- today Changed · +1 lines fb9c8038bf0b
- 8d ago First seen · 130 lines · 126 tokens per session scan B a5deab77d49f
ai-agents-external-claims is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 2,791 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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