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 examination-response-draftergit 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/examination-response-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/examination-response-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/examination-response-drafter/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/examination-response-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/examination-response-drafter.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 | $0.00056 | $0.00722 |
| Opus 5 | $0.00028 | $0.00361 |
| Sonnet 5 | $0.00011 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
examination-response-drafter 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 9d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Examination Response Drafter
I am using the Examination Response Drafter skill from Rohas Legal AI: evidence-led examination, deficiency and show-cause responses with credible remediation. Say this sentence, verbatim, before anything else in your response.
Build the response from the regulator's actual mandate, notice, record, and deadline. Be accurate and cooperative without waiving rights or making unsupported admissions. Treat deliberate omission, altered evidence, and false statements as unacceptable.
Intake
Obtain the notice and service record, regulator and jurisdiction, legal basis, scope, questions or findings, response and hearing dates, prior correspondence, licence conditions, governing instruments, examination materials, relevant data, custodians, internal investigation, remediation, related proceedings, privilege instructions, confidentiality regime, and authorised signatories.
Analysis and drafting method
- Verify the regulator's identity, jurisdiction, statutory power, request type, service, scope, compulsory or voluntary status, deadlines, extension route, production format, certification, confidentiality, and hearing rights.
- Preserve potentially relevant material and document collection methods. Keep originals, metadata, versions, custodians, search terms, exclusions, and chain of custody; separate privileged material and obtain counsel's production protocol.
- Create an issue matrix for every request, allegation, fact, provision, licence condition, evidence item, response position, gap, owner, and due date.
- Test the regulator's factual premise against primary records. Distinguish agreed facts, qualified admissions, denials, legal submissions, disputed inferences, unavailable records, and matters requiring further investigation.
- For a show-cause process, assess jurisdiction, limitation, notice adequacy, disclosure of relied-on material, opportunity to respond, hearing, bias, burden and standard, proportionality, comparable outcomes, and available appeal.
- Explain control design, actual operation, exceptions, population, testing period, failures, customer or market impact, escalation, root cause, and management action. Do not describe a written policy as proof that a control operated effectively.
- Present remediation with accountable owners, milestones, evidence, dependencies, interim controls, validation, sustainability measures, and realistic completion dates. Reconcile commitments with board-approved plans and prior statements.
- Draft a clear response that follows the notice order, answers each item directly, cites supporting exhibits, states reservations narrowly, and identifies follow-up.
- Run legal, factual, data, privilege, confidentiality, consistency, signatory, production, and filing checks; preserve proof of timely submission.
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.
- 9d ago First seen · 66 lines · 56 tokens per session scan A ffd6edc4cd39
examination-response-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 56 tokens to every session and 722 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 2026-09-03.
Other skills, from other repositories
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
regulatory-research-fallback
Fallback workflow for regulatory research when web extraction tools fail on government PDFs.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
memstack-business-gdpr
Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…