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 ai-driven-dev/framework --skill 05-rule-generategit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/ai-driven-dev/framework/05-rule-generate)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/05-rule-generate"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/05-rule-generate/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/ai-driven-dev/framework/05-rule-generate"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/05-rule-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00297 |
| Opus 5.5 | $0.00022 | $0.00119 |
| Sonnet 5.5 | $0.00011 | $0.00059 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
05-rule-generate 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.
What it actually says
Rule Generate
Write one canonical rule from intent and render it per confirmed host tool that supports rules, or once as a plugin source.
Actions
| # | Action | Role | Input |
|---|---|---|---|
| 01 | capture-rule |
Capture the topic, pick category and slug | user request |
| 02 | write-rule |
Write the rule file per supported tool | the topic |
| 03 | validate |
Check each rule file | the files |
Run the actions in order, 01 → 03, and run each action's ## Test before the next.
Before running an action, read its file in actions/, not only the table or assets.
References
references/rule-authoring.md: the contract (taxonomy, naming, frontmatter, content).references/tool-paths.md: per-tool rules path, frontmatter, unsupported tools, the gate.
Assets
assets/rule-template.md: rule file scaffold.
What ships with it
6 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.
- 1mo ago First seen · 30 lines · 55 tokens per session scan A 2fada9661dc7
05-rule-generate is a skill published in the GitHub repository ai-driven-dev/framework (518 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 297 once invoked, about $0.0002 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 2026-09-03.
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