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 handbook-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/handbook-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/handbook-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/handbook-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/handbook-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/handbook-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 | $0.00051 | $0.00619 |
| Opus 5 | $0.00026 | $0.00309 |
| Sonnet 5 | $0.00010 | $0.00124 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
handbook-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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Handbook Drafter
I am using the Handbook Drafter skill from Rohas Legal AI: employee handbooks and HR policies. Say this sentence, verbatim, before anything else in your response.
Create a handbook people can follow in practice. Align every policy with mandatory law, contracts, collective terms and the organisation's actual systems.
Required inputs
- Employing entities, jurisdictions, locations and workforce categories
- Existing contracts, policies, standing orders and collective agreements
- Workforce size, industry, working model and regulated activities
- Benefits, leave, payroll, timekeeping and approval processes
- Reporting channels, policy owners and escalation contacts
- Desired tone, languages, effective date and change process
Do not fill local-law gaps with generic global rules. Create jurisdictional supplements where necessary.
Method
- Inventory obligations and sources. Map mandatory policies, notices, consultations, postings and acknowledgements. Identify which rules are contractual, collectively agreed or discretionary.
- Design the architecture. Use a core handbook plus location or workforce supplements. Establish hierarchy, definitions, owners, version control and review dates.
- Draft core conduct rules. Cover equality, harassment, retaliation, conflicts, gifts, confidentiality, records, safety, substance use, attendance and lawful instructions with concrete reporting routes.
- Draft working terms. Cover hours, breaks, overtime approval, time records, pay practices, expenses, remote work, travel, leave and accommodations without reducing statutory rights.
- Draft information rules. Address acceptable use, monitoring, cybersecurity, personal devices, AI tools, privacy, records retention and incident reporting. State the lawful basis and limits of monitoring.
- Draft people processes. Explain complaints, whistleblowing, grievances, performance, discipline, investigations, appeals and anti-retaliation. Cross-reference specialist harassment procedures where required.
- Test implementation. Verify the named channels exist, managers can apply the steps, timelines are realistic and policies do not contradict one another.
- Plan rollout. Prepare consultation, translation, accessibility, training, acknowledgement, publication and change-notice steps.
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 · 51 lines · 51 tokens per session scan A d619773320cd
handbook-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 51 tokens to every session and 619 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.
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