verification-agent

verification-agent is a skill for Claude Code, Codex from MoizIbnYousaf/ai-agent-skills. It costs 255 tokens per session (2,418 once invoked), scanned A, original, MIT.

A source-checking tool that tests claims, quotations, citations, and references against original sources. It creates an audit record with the retrieved text and checking details so another person can repeat the verification.

In plain words
What is it for?
Use it to check individual claims or citations, or to verify every checkable reference in a report, thesis, article, or other document.
Why use it?
It distinguishes actually confirming a statement from merely finding a search result or repeating an assertion. This helps expose inaccurate quotes, dates, statistics, and references before publication.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to check individual claims or citations, or to verify every checkable reference in a report, thesis, article, or other document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/moizibnyousaf/ai-agent-skills/verification-agent
About the project

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.

MoizIbnYousaf/ai-agent-skills · 1,151 stars · on GitHub · npmjs.com

Install

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.

Any agent
npx skills add MoizIbnYousaf/ai-agent-skills --skill verification-agent
Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/ai-agent-skills

Made for: Claude Code, Codex.

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.

agentmods badge for verification-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/ai-agent-skills/verification-agent/github.svg)](https://agentmods.dev/skills/moizibnyousaf/ai-agent-skills/verification-agent)
Your own site
<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.

agentmods 80×15 button for verification-agent

Your own site · 80×15
<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>
Per session 255 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,418 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 24d ago against content hash c03329a40b26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/content-index.mjs, scripts/lib/corpus.mjs, scripts/lib/io.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/verification-agent/SKILL.md · 212 lines

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:

  1. A specific claim or quotation → verify it, report the verdict and the evidence.
  2. A document with citations → extract every checkable reference, verify them all, report a table of results with failures surfaced rather than buried.
  3. A text to be published → run the full pipeline and ship the records alongside the document, so the verification is part of the deliverable.
  4. 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" } } }

Read the full file on GitHub · 212 lines

Changes

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.

  1. 24d ago Changed c03329a40b26
  2. 24d ago First seen · 212 lines · 255 tokens per session scan A c03329a40b26

Subscribe to this mod's changes

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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