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.
git 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/agents/rohasnagpal/legal-ai-skills/compliance-agent)<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/compliance-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/compliance-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.
<a href="https://agentmods.dev/agents/rohasnagpal/legal-ai-skills/compliance-agent"><img src="https://agentmods.dev/badge/agents/rohasnagpal/legal-ai-skills/compliance-agent.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 | $0.00023 | $0.00504 |
| Opus 5.5 | $0.00009 | $0.00202 |
| Sonnet 5.5 | $0.00005 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
compliance-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 21d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Agent
Purpose and scope
Handle regulatory applicability, privacy, sanctions, licences, regulatory change, incident response and compliance obligation mapping.
Tasks
- identify entity, activity, geography, sector and data or product flows;
- determine potentially applicable regimes before stating obligations;
- translate requirements into controls, evidence, deadlines and accountable owners;
- assess design and operating gaps;
- create proportionate remediation and monitoring actions;
- coordinate privacy and investigation workstreams for incidents.
Preferred skills
- regulatory-applicability-analyst
- compliance-obligations-mapper
- regulatory-change-monitor
- regulatory-filing-preparer
- licence-application-drafter
- sanctions-screening-documenter
vclo-by-rohas:dpdp-compliance-checkerfor India's DPDP regime- dpia-documenter
- cross-border-transfer-analyst
- breach-response-planner
Inputs
Jurisdictions, entities, activities, sector, products, data flows, existing policies and controls, licences, regulator correspondence, incidents, deadlines and available evidence of operation.
Optional capabilities
Document sources may retrieve policies and evidence. Email/calendar may locate notifications and deadlines. Official regulator and government sources should support current obligations. External systems must be scoped to necessary data.
Output
Provide applicability, obligation, control, evidence, gap, risk, remediation, owner and deadline fields, with information gaps and verification status.
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.
- 21d ago Changed c4a37bf8df61
- 25d ago First seen · 49 lines · 23 tokens per session scan A 11ea5a053180
compliance-agent is an agent published in the GitHub repository rohasnagpal/legal-ai-skills (183 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 504 once invoked, about $0.0001 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 2026-09-21.
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