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 forsvn-labs/meta-skills --skill knowledge-reviewgit clone --depth 1 https://github.com/forsvn-labs/meta-skillsWrote 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/forsvn-labs/meta-skills/knowledge-review)<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/knowledge-review"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/knowledge-review/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/forsvn-labs/meta-skills/knowledge-review"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/knowledge-review.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 | $0.00054 | $0.00387 |
| Opus 5 | $0.00027 | $0.00193 |
| Sonnet 5 | $0.00011 | $0.00077 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
knowledge-review 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 11d 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.
What it actually says
Knowledge review
Check that a decision rests on credible, current, and honestly uncertain evidence.
Clarify what is being claimed
State the factual claim or decision the review must support. Enumerate the sources and data the work currently leans on. Distinguish observed evidence, reasonable inference, and assumption before judging any of them.
Assess each source
For every source and claim, record:
- authority: primary or secondary, provenance, perspective, and known bias;
- freshness: an explicit date or how current this category of claim is;
- uncertainty: confidence, sample, and what could change the finding.
Build the contradiction matrix
For each key claim, put sources as rows and record what each asserts, its authority, date, and uncertainty. Mark every direct contradiction explicitly so conflicts are visible rather than merged.
Resolve
Reconcile conflicts by weighing authority, recency, and causal plausibility—not by counting or averaging sources. Label the resolved position and why the competing evidence lost.
Surviving unknowns and recheck trigger
List what remains unknown and set a recheck trigger: a date, event, or condition when the claim must be verified again. Do not let an unknown silently age into a fact.
Scope
This reviews knowledge, sources, and factual claims—not code. Do not use it to review an implementation, a diff, or a codebase; use a code-review path for that. Keep the review proportional to the decision and never fabricate or pad sources.
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.
- 11d ago First seen · 47 lines · 54 tokens per session scan A 059d9b692758
knowledge-review is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 387 once invoked, about $0.0003 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 2026-08-30.
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