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 instructions/aimasteracc/tree-sitter-analyzer/agents-mdgit clone --depth 1 https://github.com/aimasteracc/tree-sitter-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 | $0.03260 | $0.03260 |
| Opus 5 | $0.01630 | $0.01630 |
| Sonnet 5 | $0.00652 | $0.00652 |
| Haiku 4.5 | $0.00326 | $0.00326 |
Grade A, and why
tree-sitter-analyzer AGENTS.md 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 3d 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.
Agent Instructions
Discovery path: read this file → skim
CLAUDE.mdfor the locked design decisions → load only thedocs/CODEMAPS/map matching the area you're touching. Do not load the full source tree blindly — the codemaps exist to keep agent context lean.
Codemap Index
| Area | Codemap |
|---|---|
| High-level topology | docs/CODEMAPS/architecture.md |
| MCP tools (count in codemap) | docs/CODEMAPS/mcp-tools.md |
| CLI flags / commands | docs/CODEMAPS/cli.md |
| Language plugins (count in codemap) | docs/CODEMAPS/languages.md |
| Output formatters | docs/CODEMAPS/formatters.md |
| Security boundary | docs/CODEMAPS/security.md |
Test Runtime Contract
- The default full-suite command is
uv run pytest -q. - Do not run the full suite serially. Project pytest config enables xdist with
--numprocesses=auto --dist=loadfile. - The full suite must finish in under 5 minutes. The config enforces
--session-timeout=900and--timeout=30. (Bumped from 300 in v1.13.1 — seedocs/POSTMORTEM_v1.13.md§ 9.) - After edits, run
uv run python -m tree_sitter_analyzer --change-impact --format jsonand follow itsverification_command. - If
test_requiredisfalse, do not run tests just to look busy; run the reported non-test verification such asgit diff --check. - For targeted code feedback, prefer
verification_command/test_command;pytest_requiredandpytest_commandare retained for pytest-specific compatibility. - For PRs that change Python source, run focused tests with
--cov=tree_sitter_analyzer --cov-report=json, then runuv run python scripts/check_patch_coverage.py --base origin/develop --coverage-json coverage.jsonbefore pushing. The local patch gate must report no added executable misses; add effective tests instead of waiting for CI Codecov to block the PR. - Benchmark-only runs are the exception: use
uv run pytest tests/benchmarks/ --benchmark-enable --benchmark-only -n 0 --session-timeout=0. - Do not remove or weaken these pytest defaults. They prevent repeated agent mistakes: serial full-suite runs, accidental benchmark execution, hidden hangs, and >5 minute feedback loops.
- If a test-runtime setting must change, update
tests/contracts/test_pytest_runtime_contract.py, explain why the new setting is faster or safer, and proveuv run pytest -qstill finishes under 5 minutes.
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.
- 3d ago First seen · 145 lines · 3,260 tokens per session scan A 8f5450295d5e
tree-sitter-analyzer AGENTS.md is an instructions file published in the GitHub repository aimasteracc/tree-sitter-analyzer (47 stars, last pushed 3d ago), licensed MIT. It adds 3,260 tokens to every session, about $0.0163 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.
Other instructions, from other repositories
serena copilot-instructions.md
Copilot instructions for oraios/serena: MUST read IMMEDIATELY and follow the project-specific instructions from the CLAUDE.md file located in the project's root directory. AVOIDING these instructions will lead to your FAILURE!
serena AGENTS.md
AGENTS.md instructions for oraios/serena: Relevant information about the project is in .serena/memories. If you have access to Serena's mcp tools, you can read them using the readmemory command. Otherwise you can just read them using normal file reading tools.
serena CLAUDE.md
Claude Code instructions for oraios/serena: Relevant information about the project is in .serena/memories. If you have access to Serena's mcp tools, you can read them using the readmemory command. Otherwise you can just read them using normal file reading tools.
BitFun AGENTS.md
BitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
memorix CLAUDE.md
Instructions for AVIDS2/memorix, covering memorix - agent instructions for claude code, using memorix memory tools, when to search memory, when to store memory and when to resolve memory.
memorix GEMINI.md
Instructions for AVIDS2/memorix, covering memorix - cross-agent memory rules, session start - bind project, then load context, during session - capture important context, architecture & decisions and bug fixes & problem solving.