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 commands/benmarte/codemunch/exploregit 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 | $0.00019 | $0.00312 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
explore 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 yesterday.
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.
What it actually says
First, run the staleness-gate skill to ensure the index is fresh.
Then provide a structured overview using only the codemunch index and directory listing. Do NOT read any source files.
If $ARGUMENTS is a file path, show:
- All symbols in that file (name, kind, line range)
- Each symbol's signature (from index)
- Estimated complexity (line count per symbol)
- Total: "X symbols, Y lines — fetch any with /codemunch:fetch "
If $ARGUMENTS is a directory or empty (whole project), show:
- File tree —
find . -type f -name "*.ts" | head -30(adjust extension per detected language) - Class hierarchy — all classes/structs/interfaces grouped by file
- Entry points — top-level exported functions with no container
- Largest symbols — top 10 by line count (most complex)
- Summary stats from index
Always end with a tip on how to dig deeper: "Use /codemunch:find to search symbols, /codemunch:fetch to read one, /codemunch:refs to find usages."
Token target for a full project overview: under 200 tokens.
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.
- yesterday First seen · 27 lines · 19 tokens per session scan A a5cb53e00610
explore is a command published in the GitHub repository benmarte/codemunch (7 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 312 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.
Other commands, from other repositories
README
Git workflow and quality assurance commands for the claude-skills repository.
convert-to-todowrite-tasklist-prompt
Purpose: Transform verbose, context-heavy slash commands into efficient TodoWrite tasklist-based methods with parallel subagent execution for 60-70% speed improvements.
security-audit
Perform a comprehensive security audit of the codebase to identify potential vulnerabilities, insecure patterns, and security best practice violations.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
save
Save a key-value memory entry to persistent storage.
medical-necessity
Generate medical necessity letters citing chiropractic clinical guidelines for insurance authorization and appeals.