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 pproenca/dot-skills --skill diagram-qualitygit clone --depth 1 https://github.com/pproenca/dot-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/skills/pproenca/dot-skills/diagram-quality)<a href="https://agentmods.dev/skills/pproenca/dot-skills/diagram-quality"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/diagram-quality/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/pproenca/dot-skills/diagram-quality"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/diagram-quality.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 | $0.00122 | $0.01000 |
| Opus 5 | $0.00061 | $0.00500 |
| Sonnet 5 | $0.00024 | $0.00200 |
| Haiku 4.5 | $0.00012 | $0.00100 |
Grade A, and why
diagram-quality 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 5d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-uml Diagram Quality Best Practices
Make the human-Claude design conversation converge faster on the agent-uml canvas.
When to Apply
- Before every
diagram_upsertcall — check syntax safety rules and apply the correct skinparam preset - After every
design_feedbackresponse — consult the versioning decision table to choose the right next action - When starting a new design session — follow the progressive detail layers for diagram ordering
- Before calling
design_export— run the export-readiness checklist - When a diagram renders blank or elements aren't clickable — consult rendering safety rules
Rule Categories by Priority
| Priority | Section | Impact | Reference |
|---|---|---|---|
| 1 | Rendering Safety | CRITICAL | syn-safety.md, _presets.md |
| 2 | Conversation Mechanics | HIGH | _conversation.md |
| 3 | Design Effectiveness | MEDIUM | _design.md |
Quick Reference
1. Rendering Safety (CRITICAL)
18 rules that prevent blank canvas and ensure interactive SVG. Read syn-safety.md before writing any PlantUML source.
Key rules:
- Every element gets
as Alias— without it, element is not clickable on canvas skinparam backgroundColor transparent— white default clashes with #f4f1ec canvas- Copy the correct preset from _presets.md — one block per diagram type, matched to canvas CSS variables
2. Conversation Mechanics (HIGH)
5 decision tables for the feedback-response loop. Read _conversation.md when deciding what tool to call next.
Key tables:
- Table 4: Signal → Action — maps annotation, chat, silence, and timeout to the correct tool call
- Table 5: Message content — what to write in the
messageparameter (explain change + ask focusing question)
3. Design Effectiveness (MEDIUM)
What ships with it
8 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.
- 5d ago First seen · 71 lines · 122 tokens per session scan A af634d6cc4c7
diagram-quality is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 122 tokens to every session and 1,000 once invoked, about $0.0006 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 2026-09-03.
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