awesome-claims-audit

awesome-claims-audit is a skill for Claude Code from khasky/awesome-agent-skills. It costs 122 tokens per session (4,434 once invoked), scanned A, original, MIT.

A review process that compares every publicly checkable product statement with the code and data that determine whether it is true. It can examine marketing pages, README files, store listings, documentation, privacy policies, FAQs, and structured data, including across repositories.

In plain words
What is it for?
Use it to audit permissions, numbers, interface labels, commands, guarantees, and other specific claims, then fix mismatches after the full report is complete.
Why use it?
It finds claims that have become inaccurate after code, settings, or product details changed. This prevents public information from promising or describing something the product no longer does.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the awesome-agent-skills plugin — 42 skills shipped together

Good fit Use it to audit permissions, numbers, interface labels, commands, guarantees, and other specific claims, then fix mismatches after the full report is complete.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/khasky/awesome-agent-skills/awesome-claims-audit
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 khasky/awesome-agent-skills --skill awesome-claims-audit
Clone the repo
git clone --depth 1 https://github.com/khasky/awesome-agent-skills

Made for: Claude Code.

Or install awesome-agent-skills, the plugin that ships this one along with the rest of its 42 skills.

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 awesome-claims-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/khasky/awesome-agent-skills/awesome-claims-audit/github.svg)](https://agentmods.dev/skills/khasky/awesome-agent-skills/awesome-claims-audit)
Your own site
<a href="https://agentmods.dev/skills/khasky/awesome-agent-skills/awesome-claims-audit"><img src="https://agentmods.dev/badge/skills/khasky/awesome-agent-skills/awesome-claims-audit/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 awesome-claims-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/khasky/awesome-agent-skills/awesome-claims-audit"><img src="https://agentmods.dev/badge/skills/khasky/awesome-agent-skills/awesome-claims-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,434 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00122 $0.04434
Opus 5 $0.00061 $0.02217
Sonnet 5 $0.00024 $0.00887
Haiku 4.5 $0.00012 $0.00443

Measured yesterday against content hash 3c9075273517, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

awesome-claims-audit 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 yesterday.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/check-claims.mjs, scripts/map-coverage.mjs, scripts/prove-checks.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/awesome-claims-audit/SKILL.md · 343 lines

How it starts

The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Public Claims Audit

A claim is any public sentence a reader could disprove: a permission list, a number, a quoted UI label, a copy-pasteable command, a guarantee. The code that decides it lives somewhere else — a constant, a manifest, a catalog, a route table, a locale file — and nothing links the two. A rename on one side leaves a false statement on the other, and every test stays green.

The claims that rot are not the vague ones. They are the specific, checkable ones a reader was invited to verify.

Two phases, separate on purpose: report everything first, fix second. A fix applied mid-audit changes the surface you are still reading.

Reference files (load the one you need, don't inline both):

  • references/claim-source-map.md — the map from each class of claim to the one file that settles it: how to build it, the template, and the resolution traps that cost the most time.
  • references/checker-recipes.md — the four mechanical check kinds, the config schema the scripts read, and the mutation discipline that proves a check can fail.

Scripts (Node ≥18, no dependencies):

  • scripts/check-claims.mjs — runs the mechanical checks from a config you write for the product.

  • scripts/prove-checks.mjs — breaks one claim at a time and asserts the owning check names it.

  • scripts/map-coverage.mjs — cross-checks the claim-source map against the config, both directions.

  • scripts/stage-json-keys.mjs — stages only named JSON keys when the file also carries someone else's unfinished work.

  • Other runtimes — the runner is Node because that is what most public-facing repos already have. The four check kinds are ~40 lines in Python, Ruby, or Go; what matters is the discipline (fail loud when a parse stops matching, one line per check, a mutation that proves the check fires), not the language. If the project has no Node toolchain, port the config to its own test runner and say so in the report.

Read the full file on GitHub · 343 lines

Files

What ships with it

6 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.

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. yesterday Changed 3c9075273517
  2. 6d ago Changed · +15 lines · -90 tokens per session c2211dad9d7a
  3. 12d ago First seen · 328 lines · 212 tokens per session scan A d46d83402c7a

Subscribe to this mod's changes

awesome-claims-audit is a skill published in the GitHub repository khasky/awesome-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 122 tokens to every session and 4,434 once invoked, about $0.0006 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 2026-08-31.

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