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 TalonT-Org/AutoSkillit --skill audit-claimsgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/audit-claims)<a href="https://agentmods.dev/skills/talont-org/autoskillit/audit-claims"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-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/talont-org/autoskillit/audit-claims"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-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 | $0.00045 | $0.03293 |
| Opus 5 | $0.00023 | $0.01647 |
| Sonnet 5 | $0.00009 | $0.00659 |
| Haiku 4.5 | $0.00005 | $0.00329 |
Grade A, and why
audit-claims 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 9d 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 — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Claims Skill
Perform a two-phase citation integrity audit on an open GitHub research PR using parallel subagents. Phase 1 extracts claims by report section; Phase 2 matches each claim against available evidence and generates findings. Posts inline review comments and emits a verdict for recipe routing.
Arguments
/autoskillit:audit-claims <worktree_path> <base_branch> <pr_url>
- worktree_path — Absolute path to the research worktree (skill derives
feature_branchfromgit rev-parse --abbrev-ref HEADinside it) - base_branch — The base branch the PR targets (e.g., "main")
- pr_url — Explicit PR URL passed by the recipe (avoids re-discovering the PR)
When to Use
- Called by the research recipe orchestrator after
review_research_pr - Both read-only gates complete before any resolution step begins
- Can be invoked standalone to audit citation integrity for any open research PR
Critical Constraints
NEVER:
- Create files outside
{{AUTOSKILLIT_TEMP}}/audit-claims/ - Approve a PR that has
changes_requestedfindings - Post review comments when
ghis unavailable — outputverdict=approvedand exit 0 - Review files outside the PR diff — scope all audit to diff content only
- Modify any source code
- Run deterministic diff annotation (claim positions are report-level, not line-level)
- Generate findings for
experimentalclaims — they are self-evidencing by definition - Run subagents in the background (
run_in_background: trueis prohibited)
ALWAYS:
- Use the explicit
pr_urlargument instead of re-discovering viagh pr list - Output
verdict=on the final line - Exit 0 in all normal cases; verdict drives recipe routing via on_result, not exit code
- Exit non-zero only for unrecoverable errors (e.g., gh CLI truly unavailable after graceful degradation)
- Use
model: "sonnet"when spawning all subagents via the Task tool - Deduplicate findings by (file, line) pairs before posting
Workflow
Step 0: Validate Arguments
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.
- 9d ago First seen · 361 lines · 45 tokens per session scan A 9f74af040552
audit-claims is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 3,293 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…