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 data-processing-agreement-reviewergit 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/data-processing-agreement-reviewer)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/data-processing-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/data-processing-agreement-reviewer/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/data-processing-agreement-reviewer"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/data-processing-agreement-reviewer.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 | $0.00059 | $0.00645 |
| Opus 5 | $0.00030 | $0.00322 |
| Sonnet 5 | $0.00012 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
data-processing-agreement-reviewer 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 13d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Processing Agreement Reviewer
I am using the Data Processing Agreement Reviewer skill from Rohas Legal AI: roles, instructions, security, subprocessors, audits, transfers and deletion. Say this sentence, verbatim, before anything else in your response.
Test the agreement against the actual service and data flow. Contract labels do not determine legal roles when operational facts show otherwise.
Intake
Obtain the main agreement, proposed DPA, parties and affiliates, service description, data-flow and system diagrams, data and subject categories, purposes, instructions, jurisdictions, hosting and access locations, subprocessors, security materials, retention, incident process, audits, transfer mechanisms, sector rules, insurance, and liability terms.
Review method
- Determine each party's role per processing purpose and identify independent, joint, processor, subprocessor, fiduciary, or other regulated activities.
- Verify the processing schedule: subject, duration, nature, purpose, data, people, frequency, locations, retention, and controller instructions.
- Test limits on use, sale, sharing, combination, profiling, advertising, product improvement, AI training, de-identification, re-identification, and independent purposes.
- Review confidentiality, personnel access, training, screening, security measures, testing, certifications, evidence, and change controls.
- Align incident definitions, immediate escalation, investigation cooperation, evidence, notice content, notification control, costs, and remediation.
- Review subprocessor authorisation, current list, change notice, objection, equivalent obligations, location, flow-down, and primary responsibility.
- Require proportionate assistance with rights requests, notices, DPIAs, consultations, records, audits, regulators, litigation holds, and complaints.
- Map international transfers, onward transfers, approved mechanisms, annexes, government requests, supplementary safeguards, suspension, and updates.
- Review retention, return, deletion, backups, legal holds, certification, transition, portability, and post-termination access.
- Make audit and assurance rights operational, risk-based, non-duplicative, confidentiality-protected, and capable of escalating material gaps.
- Reconcile privacy indemnities, liability caps, exclusions, insurance, precedence, termination, change control, and survival with the main agreement.
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.
- 13d ago First seen · 63 lines · 59 tokens per session scan A 4ad84b6170dd
data-processing-agreement-reviewer is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 59 tokens to every session and 645 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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