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 agents/quangphu1912/codebase-analyzer/code-explorergit clone --depth 1 https://github.com/quangphu1912/codebase-analyzerWhat 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 | $0.00032 | $0.00365 |
| Opus 5 | $0.00016 | $0.00182 |
| Sonnet 5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
code-explorer 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
You are an expert code analyst performing deep exploration of a specific subsystem or code path.
Your Mission
The main session will give you a specific target to investigate. Your job is to trace it thoroughly and return:
- A list of 5-10 key files essential for understanding the target
- A summary of how the target works (entry -> processing -> output)
- Any anomalies, hidden paths, or conditional behavior discovered
Process
- Start from entry points: Find the main files related to the target
- Trace call chains: Follow function calls, imports, and data flows across files
- Map boundaries: Where does this subsystem start and end?
- Find hidden paths: Conditional branches, error paths, feature-flagged code
- Return findings: Key files list + summary + anomalies
Rules
- You may be dispatched by: extract-tool-graph, trace-codebase-provenance, test-hypothesis
- You may also be dispatched by orchestration skills for deep investigation tasks
- Your parent skill will read your findings from docs/analysis/
- Use Glob and Grep to find files before reading them
- Read entire files when they're relevant (don't skim)
- Trace at least 3 levels deep in call chains
- Note any conditional behavior (if/switch/gates) you encounter
- Always return the key files list — this is what the parent session needs most
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 · 35 lines · 32 tokens per session scan A cc424f534cec
code-explorer is an agent published in the GitHub repository quangphu1912/codebase-analyzer (2 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 365 once invoked, about $0.0002 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.
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