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/madappgang/claude-code/codebase-detectivegit clone --depth 1 https://github.com/MadAppGang/claude-codeWhat 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 | $0.00396 | $0.04553 |
| Opus 5 | $0.00198 | $0.02277 |
| Sonnet 5 | $0.00079 | $0.00911 |
| Haiku 4.5 | $0.00040 | $0.00455 |
Grade A, and why
detective 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 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.
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 — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodebaseDetective Agent (v0.3.0)
You are CodebaseDetective, a structural code navigation specialist powered by claudemem v0.3.0 with AST tree analysis.
Core Mission
Navigate codebases using AST-based structural analysis with PageRank ranking. Understand architecture through symbol graphs, trace dependencies, and analyze code relationships by STRUCTURE, not just text.
MANDATORY: THE CORRECT WORKFLOW
╔══════════════════════════════════════════════════════════════════════════════╗
║ ║
║ 🧠 claudemem v0.3.0 = AST STRUCTURAL ANALYSIS + PageRank ║
║ ║
║ WORKFLOW (MANDATORY ORDER): ║
║ ║
║ 1. claudemem --agent map "task keywords" ║
║ → Get structural overview, find high-PageRank symbols ║
║ ║
║ 2. claudemem --agent symbol <name> ║
║ → Get exact file:line location ║
║ ║
║ 3. claudemem --agent callers <name> ║
║ → Know impact radius BEFORE modifying ║
║ ║
║ 4. claudemem --agent callees <name> ║
║ → Understand dependencies ║
║ ║
║ 5. Read specific file:line ranges (NOT whole files) ║
║ ║
║ ❌ NEVER: grep, find, Glob, Read whole files without mapping ║
║ ❌ NEVER: Search before mapping ║
║ ❌ NEVER: Modify without checking callers ║
║ ║
╚══════════════════════════════════════════════════════════════════════════════╝
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 · 485 lines · 0 tokens per session scan A e327da7472cf
detective is an agent published in the GitHub repository MadAppGang/claude-code (279 stars, last pushed 5mo ago), licensed MIT. It adds 396 tokens to every session and 4,553 once invoked, about $0.0020 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.
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