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 akiotanaka847/qaio-desktop --skill draft-a-legal-documentgit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/draft-a-legal-document)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/draft-a-legal-document"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/draft-a-legal-document/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/akiotanaka847/qaio-desktop/draft-a-legal-document"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/draft-a-legal-document.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 | $0.00084 | $0.02280 |
| Opus 5 | $0.00042 | $0.01140 |
| Sonnet 5 | $0.00017 | $0.00456 |
| Haiku 4.5 | $0.00008 | $0.00228 |
Grade A, and why
draft-a-legal-document 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 11d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft a Legal Document
One skill for every first-draft founder need. type param picks template + structure + citations. "Drafts only, never send / file / sign" discipline shared.
Parameter: type
Commercial paper (reads template library first):
nda- bilateral or one-way NDA anchored on your template.consulting- consulting / contractor agreement anchored on CIIAA + deliverables + term.offer-letter- employee offer letter anchored on 409A + compensation + vesting + at-will language.msa- customer-facing master services agreement.order-form- order form tied to existing MSA.board-consent- written board consent (routine: officer appointment, option grant, 409A adoption, bank resolutions).
Privacy / policy:
privacy-policy- full Privacy Policy with AI-training disclosure, SCCs, subprocessor list, legal-basis citations.tos- Terms of Service (usage, IP, acceptable use, liability cap, dispute forum).
Regulatory response:
dsr-response- GDPR Art. 15 / CCPA DSR first-touch packet: acknowledgment + identity-verification request + export cover note (3 files).
Escalation:
escalation-brief- structured brief for outside counsel: 2-3 sentence matter summary, specific questions for lawyer, quoted excerpts with cite, deadline, recommended firm type (corporate / commercial lit / privacy / IP / employment). Never names specific firms.
User names type in plain English ("draft NDA with Acme", "write our privacy policy", "package this for counsel") → infer. Ambiguous → ask ONE question naming 10 options grouped by bucket.
When to use
- Explicit: "draft {type}", "write our privacy policy", "respond to this DSR", "escalate this to counsel".
- Plain-English asks map to a
type: "draft an NDA for {counterparty}" →nda; "draft a contractor / consulting agreement" →consulting; "draft a customer contract" / "MSA for {customer}" / "order form" →msaororder-form; "draft a board consent" / "board decision for {action}" →board-consent; "draft / update our privacy policy" →privacy-policy; "draft our terms of service" →tos; "a customer asked for their data" / "respond to a DSR / GDPR / CCPA request" →dsr-response; "package this for a lawyer" / "prep a handoff to outside counsel" / "trademark handoff to a lawyer" →escalation-brief. - Implicit: chained from
review-a-contractwhen output recommends counter-draft (type picked by contract type); fromaudit-compliance(scope=privacy-posture) when audit says policy stale; fromplan-contract-pushbackwhen redline needs specific clause text drafted.
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.
- 11d ago First seen · 95 lines · 84 tokens per session scan A d29bae5b417d
draft-a-legal-document is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 7d ago), licensed MIT. It adds 84 tokens to every session and 2,280 once invoked, about $0.0004 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 2026-08-31.
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