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/benmarte/codemunch/lspnpx skills add benmarte/codemunch --skill lspgit clone --depth 1 https://github.com/benmarte/codemunchWhat 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 | $0.00048 | $0.00995 |
| Opus 5 | $0.00024 | $0.00498 |
| Sonnet 5 | $0.00010 | $0.00199 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade B, and why
lsp scanned grade B with 1 finding 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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/codemunch/config.json | jq '.engines' How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LSP Direct Operations Skill
Use Claude Code's built-in /lsp tool for operations that require semantic understanding of the code — not just text matching.
Pre-flight
# Check LSP config exists for this language
cat .claude/codemunch/config.json | jq '.engines'
# Verify Claude Code LSP tool is available
# Claude Code exposes /lsp for language server operations
If no LSP is configured for the file's language, fall back to ripgrep for references and skip hover/type info.
Operation: Find all references
Find every place a symbol is used across the entire codebase.
/lsp tool call:
method: textDocument/references
params: {
textDocument: { uri: "file:///path/to/file.ts" },
position: { line: 141, character: 10 }, ← cursor on the symbol name
context: { includeDeclaration: false }
}
Format results compactly — do NOT read any of the reference files:
14 references to validateToken:
src/api/auth.ts:23 → authRouter.post('/login', validateToken, loginHandler)
src/api/invoices.ts:45 → export const getInvoice = [validateToken, async (req, res) =>
src/api/invoices.ts:67 → export const createInvoice = [validateToken, async (req, res) =>
src/middleware/index.ts:12 → app.use('/api', validateToken)
...
tests/auth.test.ts:34 → await validateToken('expired-token')
tests/auth.test.ts:56 → const result = await validateToken(mockToken)
Tokens used: ~45 (vs reading 14 files: ~42,000 tokens)
Operation: Go to definition
Jump to where a symbol is defined, even if it's in a dependency or different file.
/lsp tool call:
method: textDocument/definition
params: {
textDocument: { uri: "file:///path/to/file.ts" },
position: { line: 23, character: 15 }
}
Then use the fetch skill to read only that definition — not the whole file.
Operation: Hover / documentation
Get the type signature and JSDoc/docstring for any symbol.
/lsp tool call:
method: textDocument/hover
params: {
textDocument: { uri: "file:///path/to/file.ts" },
position: { line: 141, character: 10 }
}
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.
- 2d ago First seen · 148 lines · 48 tokens per session scan B c01366b719f6
lsp is a skill published in the GitHub repository benmarte/codemunch (7 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 995 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
karting-advisor
KartSan — AI karting coach for youth racers (7-14) in Rotax Micro/Mini/Junior MAX. Bilingual EN/PT. Analyzes MyChron 5/5S/6 telemetry, TRAX data, Race Studio 3 exports, GPS trails, and screenshots. Builds interactive dashboards with track maps and overlays. Covers technique, setup, gearing, tires, jetting, Rotax…
workflow
Professional AI programming assistant with structured workflow (Research -> Ideate -> Plan -> Execute -> Optimize -> Review) for developers.
r3f-animation
React Three Fiber animation - useFrame, useAnimations, spring physics, keyframes. Use when animating objects, playing GLTF animations, creating procedural motion, or implementing physics-based movement.
golden-rss
Use when testing the rss golden build.
agile-product-owner
../../../product-team/agile-product-owner/skills/agile-product-owner/SKILL.md.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…