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 09-mermaidgit 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/09-mermaid)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/09-mermaid"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/09-mermaid/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/09-mermaid"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/09-mermaid.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 | $0.00050 | $0.00278 |
| Opus 5.5 | $0.00020 | $0.00111 |
| Sonnet 5.5 | $0.00010 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
09-mermaid 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
Mermaid
Produces a valid, structured Mermaid diagram from a written source by planning it, confirming the plan, generating, and offering a review.
Actions
| # | Action | Role | Input |
|---|---|---|---|
| 01 | mermaid |
Plan, confirm, generate, and review one diagram | a written source |
Run action 01 and run its ## Test before trusting the result.
Before running an action, read its file in actions/, not only the table or assets.
Transversal rules
- Plan before generating, and confirm the plan with the user. Block on the answer.
- Generate only what the confirmed plan holds. Never add a node or a relationship the user did not confirm.
- Follow the project's Mermaid conventions for every diagram.
- Output the diagram as a fenced block, never describe it in prose.
References
references/mermaid-conventions.md: the conventions and defaults every generated diagram follows.
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.
- 1mo ago First seen · 30 lines · 50 tokens per session scan A 0d6e5ecfb0b9
09-mermaid is a skill published in the GitHub repository ai-driven-dev/framework (518 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 278 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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