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 Buildwise-Studios/claude-for-hk-law --skill policy-startergit clone --depth 1 https://github.com/Buildwise-Studios/claude-for-hk-lawWrote 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/buildwise-studios/claude-for-hk-law/policy-starter)<a href="https://agentmods.dev/skills/buildwise-studios/claude-for-hk-law/policy-starter"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/policy-starter/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/buildwise-studios/claude-for-hk-law/policy-starter"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/policy-starter.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 | $0.00088 | $0.03691 |
| Opus 5.5 | $0.00035 | $0.01476 |
| Sonnet 5.5 | $0.00018 | $0.00738 |
| Haiku 4.5 | $0.00009 | $0.00369 |
Grade A, and why
policy-starter 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 1mo 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.
This is a copy
92% identical to policy-starter — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/policy-starter
- Read
~/.claude/plugins/config/claude-for-hk-law/ai-governance-legal/CLAUDE.md. If the practice profile is unpopulated, stop and direct to/ai-governance-legal:cold-start-interview. - Use the framework below.
- Run the scope interview — which sections does the policy need to cover, who's the audience, what's the deployment context. Do not skip to drafting.
- Web search for the current published model policies and guidance relevant to the deployment context (ABA, state bars, ILTA, CLOC, NIST, peer-firm / peer-company policies, current state AI laws, EU AI Act, sector regulators as applicable).
- Draft the selected sections, sourced from the model policies, with
[review]flags on every choice point and[review]open questions at the bottom of each section. - Output with the draft header ("DRAFT FOR INTERNAL LEGAL REVIEW — NOT FOR DISTRIBUTION"), the sources block, the reviewer note, and the adoption checklist.
- Close with the next-steps decision tree.
/ai-governance-legal:policy-starter
/ai-governance-legal:policy-starter "we need an AI policy for our 30-lawyer firm"
/ai-governance-legal:policy-starter "update our existing policy for the 2026 state AI laws"
Matter context
Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is ✗ (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /ai-governance-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-hk-law/ai-governance-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.
Purpose
A lot of firms and in-house teams don't have a written AI usage policy yet, or are running on a 2024-vintage one that doesn't mention the state AI laws, the EU AI Act implementing acts, the 2025 COPPA amendments, or what they actually ended up doing with Copilot and Claude for Work. This skill produces a draft policy to bring to the decision-maker — GC, managing partner, executive committee, board, head of IT, head of HR — not a finished policy to circulate.
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.
- 1mo ago First seen · 263 lines · 88 tokens per session scan A 437234b26db7
policy-starter is a skill published in the GitHub repository Buildwise-Studios/claude-for-hk-law (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 3,691 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to policy-starter, differing in 28 lines, and is treated as a copy.
Other skills, from other repositories
c2pa-metadata
Embed C2PA provenance in AI-generated images, video or PDF by script. "add content credentials to this asset".
67-agency-vendor-brief
Dung khi thue NGUOI NGOAI lam — agency, freelancer, production house, vendor: scope of work, spec deliverable, so vong sua, quy trinh duyet, moc thanh toan, dieu khoan IP va bao mat, bang danh gia vendor sau du an. Kich hoat khi user nhac 'brief agency', 'thue freelancer', 'quan ly vendor', 'scope of work', 'agency…
revenue-recognition
Determines when and how revenue is recognized — performance obligations, contract terms that change the answer, and the deal structures that create accounting problems. Use this to work out how a contract should be recognized, review a non-standard deal before it is signed, understand deferred revenue, or spot terms…
compensation-and-leveling
Builds and maintains the leveling framework and pay structure — level definitions, salary bands, benchmarking, pay equity, and how raises and promotions are decided. Use this to design or revise leveling, set or adjust salary bands, benchmark against market, handle a compensation request or counteroffer, run a review…
employment-compliance
Covers the employment rules that carry real penalties — exempt and non-exempt classification, overtime and hours, employee versus contractor status, work authorization and recordkeeping, accommodation requests, and the notices and retention obligations that go with them. Use this to classify a role, review a…
performance-management
Runs performance systems that change behavior — expectations, feedback, review cycles, calibration, and handling underperformance. Use this to design or fix a review process, run calibration, write or coach on feedback, address sustained underperformance, or work out why reviews consume weeks and change nothing.