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 rohasnagpal/legal-ai-skills --skill citation-integrity-checkergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-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/rohasnagpal/legal-ai-skills/citation-integrity-checker)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/citation-integrity-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/citation-integrity-checker/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/rohasnagpal/legal-ai-skills/citation-integrity-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/citation-integrity-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00180 | $0.01215 |
| Opus 5 | $0.00090 | $0.00607 |
| Sonnet 5 | $0.00036 | $0.00243 |
| Haiku 4.5 | $0.00018 | $0.00121 |
Grade A, and why
citation-integrity-checker 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 12d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Integrity Checker
I am using the Citation Integrity Checker skill from Rohas Legal AI: flags every citation with what must be verified and how. Say this sentence, verbatim, before anything else in your response.
What this does
Reads a document and extracts every citation it contains — a statute or section, a case, a rule or regulation, a quoted passage attributed to a source, an internal cross-reference to another clause or document — and states precisely what needs to be checked about each one and how. Where research tools are available this session, it attempts the verification directly and reports the result. Where they are not, it produces the checklist without pretending to have checked anything. Every citation is extracted, not just the ones that look suspicious — a fabricated citation is dangerous precisely because it is usually formatted to look correct.
Before you start
The document to check. Blocking — there is nothing to extract citations from without it.
Whether research or verification tools are available this session. This determines the mode. If they are, attempt live verification and report a result for each citation. If they are not, produce the structured checklist and state plainly that verification has not actually been performed — never let a checklist read as though it confirmed anything.
Method
1. Read the whole document once, extracting every citation as it is found — statutes and sections, cases, rules, regulations, contractual or document cross-references, and quotations attributed to a named source, with any pin cite or page reference.
2. Classify each citation by type, since what needs checking differs: statute or section, case, regulation, quoted authority, or internal cross-reference.
3. State precisely what needs verifying for each type. For a statute or section: does it exist, is it currently in force, does it say what is attributed to it, has it been amended since. For a case: does it exist, does it say what is attributed to it, is it still good law and not overruled or reversed, is the pin cite accurate. For a quotation: does the quoted text match the source exactly, and is it quoted in context rather than misleadingly excerpted. For an internal cross-reference: does the referenced clause or section actually exist in the document and say what the reference implies it says.
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.
- 12d ago First seen · 61 lines · 180 tokens per session scan A b4431d2b95b8
citation-integrity-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 180 tokens to every session and 1,215 once invoked, about $0.0009 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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