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 eugeniosegala/claude-connoisseur --skill mermaidgit clone --depth 1 https://github.com/eugeniosegala/claude-connoisseurWrote 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/eugeniosegala/claude-connoisseur/mermaid)<a href="https://agentmods.dev/skills/eugeniosegala/claude-connoisseur/mermaid"><img src="https://agentmods.dev/badge/skills/eugeniosegala/claude-connoisseur/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/eugeniosegala/claude-connoisseur/mermaid"><img src="https://agentmods.dev/badge/skills/eugeniosegala/claude-connoisseur/mermaid.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 | $0.00023 | $0.01274 |
| Opus 5 | $0.00012 | $0.00637 |
| Sonnet 5 | $0.00005 | $0.00255 |
| Haiku 4.5 | $0.00002 | $0.00127 |
Grade A, and why
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 12d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid — Generate Mermaid Diagrams for the README
Generate clear, accurate Mermaid diagrams in the project README (or a specified Markdown file) to visualise architecture, data flows, class relationships, or other structures derived from the codebase.
Files and instructions: $ARGUMENTS
Core principles
Accuracy over aesthetics
- Every element in the diagram must reflect the actual codebase. Do not invent components, connections, or flows that do not exist
- Read the source files thoroughly before drawing anything. If a relationship is ambiguous, trace it in the code rather than guessing
Clarity and readability
- Keep diagrams focused. A diagram that tries to show everything communicates nothing
- Use meaningful node labels derived from actual file, function, class, or module names in the codebase
- Prefer short, descriptive edge labels. Omit labels when the relationship is obvious from context
- Group related nodes with subgraphs when it improves readability, but do not over-nest
Diagram type selection
Choose the Mermaid diagram type that best fits the subject:
- flowchart (
flowchart TD/LR) — request flows, pipelines, decision trees, process steps - sequence diagram (
sequenceDiagram) — interactions between components over time (API calls, message passing) - class diagram (
classDiagram) — class hierarchies, interfaces, type relationships - entity-relationship (
erDiagram) — database schemas, data models, entity relationships - state diagram (
stateDiagram-v2) — lifecycle states, state machines, status transitions - architecture (
architecture-beta) — high-level system or infrastructure topology
If the user specifies a diagram type, use it. Otherwise, select the most appropriate one based on the code being visualised.
Integration with the README
- Place the diagram in a logical section of the README. If a relevant section already exists, add the diagram there. If not, create a section with a clear heading
- Use a fenced Mermaid code block (
```mermaid) so the diagram renders natively on GitHub and other Markdown renderers - If the README already contains a Mermaid diagram for the same subject, update it rather than adding a duplicate
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.
- 12d ago First seen · 119 lines · 23 tokens per session scan A 27ed03951c16
mermaid is a skill published in the GitHub repository eugeniosegala/claude-connoisseur (9 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,274 once invoked, about $0.0001 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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