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 uk-agents/uk-legal-plugins --skill aia-generationgit clone --depth 1 https://github.com/uk-agents/uk-legal-pluginsWrote 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/uk-agents/uk-legal-plugins/aia-generation)<a href="https://agentmods.dev/skills/uk-agents/uk-legal-plugins/aia-generation"><img src="https://agentmods.dev/badge/skills/uk-agents/uk-legal-plugins/aia-generation/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/uk-agents/uk-legal-plugins/aia-generation"><img src="https://agentmods.dev/badge/skills/uk-agents/uk-legal-plugins/aia-generation.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 | $0.00149 | $0.05939 |
| Opus 5 | $0.00075 | $0.02969 |
| Sonnet 5 | $0.00030 | $0.01188 |
| Haiku 4.5 | $0.00015 | $0.00594 |
Grade A, and why
aia-generation 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 — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aia-generation
- Read
~/.claude/plugins/config/uk-legal-plugins/ai-governance-legal-uk/CLAUDE.md. Confirm impact assessment house style is populated. - Determine risk track (fast or full) from governance tier and use case characteristics, using the framework below.
- Run intake — conversational, not a form.
- Regulatory classification for each regime in the footprint — UK GDPR / DPA 2018 / ICO guidance as primary; sector-specific UK obligations; EU AI Act where EU nexus exists. Research tier, prohibited-practice exposure, and applicable obligations; cite primary sources.
- Write assessment in house style (from seed doc, or default if none captured).
- Policy diff against
~/.claude/plugins/config/uk-legal-plugins/ai-governance-legal-uk/CLAUDE.mdAI policy commitments. - Output: assessment doc + conditions list + handoff flags (privacy DPIA, vendor review if needed).
/ai-governance-legal-uk:aia-generation "AI résumé screening for HR"
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-uk: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/uk-legal-plugins/ai-governance-legal-uk/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.
Purpose
An AI impact assessment is a documented decision, not a form. It answers: what does this AI system do, how does it reach its outputs, who's affected if it's wrong, what's the oversight, and is it okay to deploy. This skill structures that conversation and writes the output in this team's format — the one learned from the seed impact assessment during cold-start.
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 · 408 lines · 149 tokens per session scan A 44d261a040a3
aia-generation is a skill published in the GitHub repository uk-agents/uk-legal-plugins (9 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 149 tokens to every session and 5,939 once invoked, about $0.0007 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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