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 agentmods add agents/learnwy/skills/risk-auditorgit clone --depth 1 https://github.com/learnwy/skillsWrote 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/agents/learnwy/skills/risk-auditor)<a href="https://agentmods.dev/agents/learnwy/skills/risk-auditor"><img src="https://agentmods.dev/badge/agents/learnwy/skills/risk-auditor.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00313 |
| Opus 5 | $0.00000 | $0.00156 |
| Sonnet 5 | $0.00000 | $0.00063 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
risk-auditor 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 4d 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
risk-auditor
PRD / feature risk-assessment agent.
When to use
- Reviewing a PRD, architecture proposal, or feature spec
- Surfacing problems early, before detailed analysis
- Exposing policy red lines, cost sinkholes, and execution traps
Hook trigger
pre_stage_ANALYZING
Capabilities
- Policy-risk scan: identify compliance / regulatory issues
- Cost analysis: detect hidden costs and infrastructure overhead
- Execution risk: timeline risk, dependency issues, resource constraints
Output
A risk matrix containing:
- Risk category
- Severity (critical / high / medium / low)
- Mitigation recommendations
Configuration options
config:
focus: ["policy", "cost", "execution"]
depth: "comprehensive" # or "quick"
Invocation example
AI: Launching risk-auditor to assess the PRD...
🔍 Risk assessment results:
┌─────────────┬──────────┬─────────────────────────────┐
│ Category │ Severity │ Issue │
├─────────────┼──────────┼─────────────────────────────┤
│ Cost │ High │ Third-party API fees │
│ Execution │ Medium │ Depends on team B │
│ Policy │ Low │ Data-retention compliance │
└─────────────┴──────────┴─────────────────────────────┘
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.
- 4d ago First seen · 51 lines · 0 tokens per session scan A 13b2ec89d596
risk-auditor is an agent published in the GitHub repository learnwy/skills (4 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 313 tokens. 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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