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 jeremylongworth-source/AgentSkills --skill ai-risk-registergit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/ai-risk-register)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/ai-risk-register"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/ai-risk-register/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/jeremylongworth-source/agentskills/ai-risk-register"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/ai-risk-register.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 | $0.00055 | $0.00367 |
| Opus 5 | $0.00028 | $0.00183 |
| Sonnet 5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
ai-risk-register 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 10d 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.
What it actually says
AI Risk Register
Core Workflow
- Define AI system, workflow, users, data, model/vendor, autonomy level, and decision impact.
- Identify risks across data, privacy, security, bias, hallucination, IP, compliance, human oversight, user adoption, operations, and vendor lock-in.
- Score likelihood, impact, detectability, reversibility, and control maturity.
- Define controls, owners, monitoring, review cadence, and escalation paths.
- Separate pilot risks from production risks.
- Flag risks requiring legal, security, privacy, people, finance, or executive review.
Safety Rules
- Do not claim an AI system is compliant, safe, or production-ready without owner review and evidence.
- Do not assume vendor controls, data permissions, model behavior, or human oversight exists.
- Verify current official platform, legal, security, or compliance guidance before platform-specific tactical recommendations.
- Escalate high-impact customer, employee, regulated, legal, privacy, security, or financial risks.
Deliverable Shape
For AI risk work, provide:
- AI risk register
- Risk score and confidence
- Controls and owners
- Monitoring and review cadence
- Open governance questions
- Escalation needs
- Pilot versus production distinction
References
- Read
references/ai-risk-register-checklist.mdwhen preparing AI risk registers, governance reviews, or control maps.
What ships with it
2 files 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.
- 10d ago First seen · 48 lines · 55 tokens per session scan A b5b2f2ab5d39
ai-risk-register is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 55 tokens to every session and 367 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 2026-08-31.
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