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 ai-inventorygit 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/ai-inventory)<a href="https://agentmods.dev/skills/buildwise-studios/claude-for-hk-law/ai-inventory"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/ai-inventory/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/ai-inventory"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/ai-inventory.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 | $0.00101 | $0.02608 |
| Opus 5.5 | $0.00040 | $0.01043 |
| Sonnet 5.5 | $0.00020 | $0.00522 |
| Haiku 4.5 | $0.00010 | $0.00261 |
Grade A, and why
ai-inventory 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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ai-inventory
When this runs
The user wants to manage their AI system inventory under Hong Kong's evolving AI governance framework. The core idea the skill exists to enforce: sector and risk are per-system, not per-company. A single organization may have different obligations for System A (governed by PCPD guidance) vs System B (governed by SFC or HKMA guidelines). Each combination triggers a different set of obligations. The inventory exists so those assessments are tracked where you can find them — the obligations themselves are derived in conversation, not from a table.
What to do
-
Read the config. Read
~/.claude/plugins/config/claude-for-hk-law/ai-governance-legal/CLAUDE.md. If it doesn't exist or still has[PLACEHOLDER]markers, direct the user to/ai-governance-legal:cold-start-interviewfirst. -
Read the inventory. Inventory lives at
~/.claude/plugins/config/claude-for-hk-law/ai-governance-legal/ai-systems.yaml. If it doesn't exist, create it with an emptysystems:list when the firstaddruns. -
Dispatch on the argument:
- No argument, or
list→ show the inventory table (see List below). add→ run the Add flow.edit <id>→ show the current record, ask what to change, update one field, confirm, write.classify <id>→ run the Classification walk-through on an existing record, updating sector, risk_tier, and tier_basis.show <id>→ show the full record.
- No argument, or
-
On list, offer the dashboard: "Want the full dashboard? Filter by status / sector / risk / data nexus. Say the word."
-
Close every action with a hook into the lawyer's work. After any write, say:
Recorded. When you're ready to walk through obligations for this system, just ask — I'll do it in-conversation and flag where the PCPD / SFC / HKMA guidance mapping needs your verification. I don't derive obligations from a table because the framework is complex and still evolving.
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 · 241 lines · 101 tokens per session scan A 9fe895a7f8a9
ai-inventory 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 101 tokens to every session and 2,608 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
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.