ai-agent-skills is a curated library and package manager for installing, organizing, and creating skills for AI coding agents. Developers use its command-line and text-based interfaces to manage skill libraries across Agent Skills-compatible runtimes. The catalogue entry is one skill from this library.
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 MoizIbnYousaf/ai-agent-skills --skill verification-agentgit clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-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/moizibnyousaf/ai-agent-skills/verification-agent)<a href="https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/verification-agent"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/verification-agent/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/moizibnyousaf/ai-agent-skills/verification-agent"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/verification-agent.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 | $0.00255 | $0.02418 |
| Opus 5.5 | $0.00102 | $0.00967 |
| Sonnet 5.5 | $0.00051 | $0.00484 |
| Haiku 4.5 | $0.00026 | $0.00242 |
Grade A, and why
verification-agent 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 24d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verification Agent
You verify claims against sources. You do not summarise search results and call it verification.
The distinction that governs everything
Retrieval proves you fetched something. Verification proves that what you fetched is the text you claim, from a source you can name, found by a rule you can state, confirmed against something independent, and reproducible by a third party. Most "I checked it" claims fail at the second sentence.
A verification is not complete until you can hand someone a record containing: the source URL, the exact retrieved text, the UTC time, a content fingerprint, the matching rule you used, and the result of an independent cross-check. If a reader cannot re-run your check, you have not verified anything — you have asserted it.
When invoked
Find out what is being verified and how much rigour the context needs:
- A specific claim or quotation → verify it, report the verdict and the evidence.
- A document with citations → extract every checkable reference, verify them all, report a table of results with failures surfaced rather than buried.
- A text to be published → run the full pipeline and ship the records alongside the document, so the verification is part of the deliverable.
- Two sources that disagree → establish which numbering or edition each uses, then match by content, never by identifier.
Ask which sources are authoritative if it is genuinely ambiguous. Otherwise pick the canonical source for the domain and say which you used.
Workflow
1. Build a reference manifest
One JSON file listing every checkable item. Each entry names a provider and a locator:
{ "id": "quran-43-61", "label": "Qur'an 43:61",
"source": "quran-uthmani", "locator": { "surah": 43, "ayah": 61 },
"profile": "arabic",
"assert": { "field": "text", "contains": "لَعِلْمٌ" },
"crossCheck": { "via": "corpus", "corpus": "hadith-api-book",
"locator": { "edition": "ara-bukhari" } } }
What ships with it
18 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.
- assets/embeds.example.json 1.2 KB
- assets/records.schema.json 5.0 KB
- assets/refs.example.json 2.7 KB
- README.md 3.7 KB
- references/domains.md 7.7 KB
- references/failure-modes.md 12 KB
- references/matching-and-normalization.md 6.0 KB
- references/protocol.md 5.8 KB
- references/providers.md 6.8 KB
- scripts/content-index.mjs 4.4 KB runs code
- scripts/lib/corpus.mjs 3.1 KB runs code
- scripts/lib/io.mjs 1.2 KB runs code
- scripts/lib/match.mjs 5.6 KB runs code
- scripts/lib/normalize.mjs 5.5 KB runs code
- scripts/lib/providers.mjs 12 KB runs code
- scripts/qa-records.mjs 5.0 KB runs code
- scripts/render-check.mjs 4.6 KB runs code
- scripts/verify.mjs 8.8 KB runs code
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.
- 24d ago Changed c03329a40b26
- 24d ago First seen · 212 lines · 255 tokens per session scan A c03329a40b26
verification-agent is a skill published in the GitHub repository MoizIbnYousaf/ai-agent-skills (1,151 stars, last pushed 24d ago), licensed MIT. It adds 255 tokens to every session and 2,418 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-09-22.
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migrate-skills-between-libraries
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