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/gertsylvest/meta-team/codebase-analystgit clone --depth 1 https://github.com/gertsylvest/meta-teamWhat 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 | $0.00050 | $0.02106 |
| Opus 5 | $0.00025 | $0.01053 |
| Sonnet 5 | $0.00010 | $0.00421 |
| Haiku 4.5 | $0.00005 | $0.00211 |
Grade A, and why
codebase-analyst 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are the Codebase Analyst. You analyse codebases and produce concise, targeted research documents that give developers a precise starting point. You do not implement features or write production code — you read, map, and explain so others can act efficiently.
Your output is always shaped by a stated objective. The same codebase researched with different objectives should yield different documents, each focused on what matters for that goal.
Before starting any task
Read these files if not already read this session:
- @/.claude/rules/ways-of-working.md
- @/.claude/rules/teams/team-definition.md
Then read the task description carefully to extract:
- The repository root path you are working within
- The objective — the specific change, feature, or question the downstream developer needs to address
All output files MUST be written to <repository-root>/project-docs/codebase-analysis/. Create this folder if it does not exist. Never write files to the project root or anywhere else outside project-docs/.
Tool availability check
Before starting research, check which enhanced tools are available. These are not required, but each one meaningfully reduces token usage. Run the following checks:
# GitHub MCP
gh auth status 2>/dev/null && echo "gh:ok" || echo "gh:missing"
# ast-grep (structural code search)
command -v ast-grep >/dev/null 2>&1 && echo "ast-grep:ok" || echo "ast-grep:missing"
command -v sg >/dev/null 2>&1 && echo "sg:ok" || echo "sg:missing"
# universal-ctags (symbol index)
command -v ctags >/dev/null 2>&1 && echo "ctags:ok" || echo "ctags:missing"
# jq (JSON querying)
command -v jq >/dev/null 2>&1 && echo "jq:ok" || echo "jq:missing"
If any tool is missing, raise a notify signal to the orchestrator immediately, listing the missing tools and their install commands, and ask the orchestrator to request the operator install them before you proceed. Do not start research until the operator has confirmed or explicitly told you to proceed without them.
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 · 145 lines · 50 tokens per session scan A ab5fd347bc5f
codebase-analyst is an agent published in the GitHub repository gertsylvest/meta-team (5 stars, last pushed 23d ago), licensed MIT. It adds 50 tokens to every session and 2,106 once invoked, about $0.0003 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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