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 agentmods add skills/ahernandez-developer/claude-crap/analyzenpx skills add ahernandez-developer/claude-crap --skill analyzegit clone --depth 1 https://github.com/ahernandez-developer/claude-crapWrote 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/ahernandez-developer/claude-crap/analyze)<a href="https://agentmods.dev/skills/ahernandez-developer/claude-crap/analyze"><img src="https://agentmods.dev/badge/skills/ahernandez-developer/claude-crap/analyze.svg" alt="Measured on agentmods" 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 | $0.00191 | $0.01325 |
| Opus 5 | $0.00096 | $0.00662 |
| Sonnet 5 | $0.00038 | $0.00265 |
| Haiku 4.5 | $0.00019 | $0.00133 |
Grade A, and why
analyze 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 4d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze a source file with tree-sitter
Run the analyze_file_ast MCP tool from the claude-crap server against a user-supplied file and report deterministic AST metrics.
Arguments
The user supplies a file path as the argument, typed after the skill name:
/claude-crap:analyze src/index.ts
/claude-crap:analyze app/main.py
/claude-crap:analyze lib/foo.cs
Steps
-
Parse the file path. Take
$ARGUMENTSas the path. Reject it with a friendly one-liner if it contains../— the server's workspace guard will reject path traversal attempts regardless, but failing fast in the skill is cleaner than surfacing a stack trace from the MCP layer. -
Detect the language from the extension. Use this table:
Extension languageargument.ts/.tsx/.mts/.ctstypescript.js/.jsx/.mjs/.cjsjavascript.pypython.javajava.cscsharpIf the extension does not map to one of those five, tell the user which languages are supported and do not invoke the tool. Claude-sonar's tree-sitter engine is language-scoped; there is no "auto-detect from content" mode.
-
Invoke the MCP tool
analyze_file_astwithfilePath: "$ARGUMENTS"and the detectedlanguage. -
Display file-level metrics first: physical LOC (every newline-terminated line including blanks and comments) and logical LOC (lines with at least one non-whitespace character). The delta between the two is an informal "comment density" signal.
-
Display a ranked function list, sorted by cyclomatic complexity descending. For each function, show:
- Function name (or
<anonymous>if the tree-sitter grammar could not resolve a name) - Start line → end line
- Cyclomatic complexity
- Physical line count (
endLine - startLine + 1)
- Function name (or
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.
- 4d ago First seen · 78 lines · 191 tokens per session scan A 78d1dbcba1c9
analyze is a skill published in the GitHub repository ahernandez-developer/claude-crap (8 stars, last pushed 4mo ago), licensed MIT. It adds 191 tokens to every session and 1,325 once invoked, about $0.0010 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
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…