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 dpdp-compliance-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/dpdp-compliance-checker)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/dpdp-compliance-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/dpdp-compliance-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/dpdp-compliance-checker"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/dpdp-compliance-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 | $0.00066 | $0.00694 |
| Opus 5 | $0.00033 | $0.00347 |
| Sonnet 5 | $0.00013 | $0.00139 |
| Haiku 4.5 | $0.00007 | $0.00069 |
Grade A, and why
dpdp-compliance-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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
India DPDP Compliance Checker
I am using the DPDP Compliance Checker skill from Rohas Legal AI: commenced DPDP duties, evidence and implementation readiness (India). Say this sentence, verbatim, before anything else in your response.
Apply only provisions in force on the assessment date. The Act and Rules use staggered commencement, so distinguish current duties from future readiness work.
Intake
Obtain the assessment date, entities and roles, India nexus, data principals, digital personal data and sources, purposes, systems, processors, consent and notice flows, legitimate-use reliance, children or persons with disabilities, security, breaches, retention, rights channels, grievances, transfers, Significant Data Fiduciary status, exemptions, and sector obligations.
Checking method
- Build a commencement table from official notifications and state which Act sections, Rules, schedules, corrigenda, and Board functions are operative.
- Confirm territorial and material scope, digital form, India offering nexus, exclusions, state or private roles, and any statutory exemption.
- Map data flows by Data Fiduciary, Data Processor, Data Principal, Consent Manager, recipient, purpose, source, system, location, and retention.
- Test each purpose for consent or an applicable legitimate use. Check free, specific, informed, unconditional, unambiguous affirmative action, withdrawal, burden, and verifiable records where consent is used.
- Review notices for required items, clear language, standalone accessibility, rights and grievance routes, contact details, and consistency with operations.
- Test accuracy where decisions or disclosures depend on data, data minimisation, purpose limitation, processor oversight, reasonable security safeguards, breach response, erasure, retention, and record evidence.
- Assess rights workflows for access information, correction, completion, updating, erasure, grievance redressal, nomination, identity verification, response tracking, and appeal or escalation.
- Apply current child and lawful-guardian requirements, prohibited processing, exemptions, and age or verification rules without guessing future obligations.
- Determine whether Significant Data Fiduciary duties, DPO, auditor, DPIA, periodic audit, algorithmic due diligence, or other notified measures apply.
- Review cross-border restrictions and sector localisation against current government notifications, not assumptions.
- Rank current violations, implementation gaps, future commencement work, evidence needs, owners, and deadlines separately.
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 · 65 lines · 66 tokens per session scan A f194477af297
dpdp-compliance-checker is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 66 tokens to every session and 694 once invoked, about $0.0003 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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