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 mhylle/claude-skills-collection --skill skill-visualizergit clone --depth 1 https://github.com/mhylle/claude-skills-collectionWrote 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/mhylle/claude-skills-collection/skill-visualizer)<a href="https://agentmods.dev/skills/mhylle/claude-skills-collection/skill-visualizer"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/skill-visualizer/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/mhylle/claude-skills-collection/skill-visualizer"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/skill-visualizer.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 | $0.00067 | $0.00661 |
| Opus 5 | $0.00034 | $0.00331 |
| Sonnet 5 | $0.00013 | $0.00132 |
| Haiku 4.5 | $0.00007 | $0.00066 |
Grade A, and why
skill-visualizer 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Visualizer
Generate interactive HTML visualizations for exploring skills, codebase structure, and dependencies.
Overview
This skill creates browser-viewable HTML files with interactive diagrams. It supports multiple visualization types and outputs self-contained HTML files that open directly in any browser.
Arguments
$0: Output type -skills,codebase, ordeps(default: skills)
Examples:
/skill-visualizer- Generate skills collection map/skill-visualizer skills- Generate skills collection map/skill-visualizer codebase- Generate codebase structure visualization/skill-visualizer deps- Generate skill dependency graph
Visualization Types
Skills Map (skills)
Generates an interactive force-directed graph of all skills showing:
- Skill nodes with name and type indicator
- Color coding by skill type:
- Green: Orchestrators (context: fork)
- Blue: Read-only (allowed-tools restrictions)
- Orange: Hybrid (standard skills)
- Hover tooltips with skill descriptions
- Drag to reposition nodes
Codebase Structure (codebase)
Generates a treemap visualization of the project structure:
- Directory hierarchy with expandable nodes
- File type distribution by color
- Size indicators for each file/directory
Dependency Graph (deps)
Generates a directed graph showing skill dependencies:
- Which skills invoke other skills
- Integration points between skills
- Visual workflow representation
Usage
- Invoke the skill with desired output type
- The skill runs Python scripts to analyze the codebase
- Generates self-contained HTML with embedded CSS/JS
- Opens in default browser automatically
# Run directly
python ~/.claude/skills/skill-visualizer/scripts/visualize.py skills
# Output location
docs/visualizations/skills-map-YYYY-MM-DD.html
Output
All visualizations are saved to docs/visualizations/:
skills-map-YYYY-MM-DD.htmlcodebase-structure-YYYY-MM-DD.htmlskill-deps-YYYY-MM-DD.html
What ships with it
1 file 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.
- 12d ago First seen · 89 lines · 67 tokens per session scan A 15f42a2f5fa2
skill-visualizer is a skill published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 9d ago), licensed MIT. It adds 67 tokens to every session and 661 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…