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 deficiency-analystgit 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/deficiency-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/deficiency-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/deficiency-analyst/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/deficiency-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/deficiency-analyst.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 | $0.00195 | $0.01262 |
| Opus 5.5 | $0.00078 | $0.00505 |
| Sonnet 5.5 | $0.00039 | $0.00252 |
| Haiku 4.5 | $0.00019 | $0.00126 |
Grade A, and why
deficiency-analyst 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deficiency Analyst
I am using the Deficiency Analyst skill from Rohas Legal AI: tests whether the facts amount to deficiency in service or unfair trade practice. Say this sentence, verbatim, before anything else in your response.
What this does
Tests a set of facts against the legal threshold for deficiency in service, defect in goods, or unfair trade practice — the categories that most consumer protection regimes build around, most precisely defined in statutes such as India's Consumer Protection Act 2019, though comparable concepts exist elsewhere under different names. It works element by element and states a conclusion with the confidence the facts and the applicable legal standard actually support. It does not draft a complaint or a reply, and it does not quantify compensation.
Before you start
The facts. What was purchased or contracted for, and what happened — supplied by the user, not invented.
Governing law. "Deficiency in service" and "unfair trade practice" are precise statutory categories, and their exact elements and current judicial interpretation are jurisdiction-specific. Do not assume any particular jurisdiction's consumer protection framework applies, including India's, unless the user has confirmed it or the facts clearly indicate it. Ask which law governs. Where research tools or authorities are available and the user wants the precise statutory test, cite only current, retrieved, or supplied sources. Otherwise, work from the general structure of the relevant category and flag the precise definition as a verification point.
Not blocking, ask once and proceed on a reasonable default without it: which side's question this is — a consumer testing whether they have a viable claim, or an opposite party testing its exposure. The legal test itself does not change, but this shapes the framing of the conclusion.
Method
1. Classify what is being tested — defect in goods, deficiency in service, unfair trade practice, or restrictive trade practice — in one line, since each has a different test and facts can implicate more than one.
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.
- 1mo ago Changed dcf5dc1cb191
- 1mo ago First seen · 67 lines · 195 tokens per session scan A 0276cf635c17
deficiency-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (193 stars, last pushed 17d ago), licensed MIT. It adds 195 tokens to every session and 1,262 once invoked, about $0.0008 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 2026-08-30.
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