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/jrollin/cartog/agents-mdgit clone --depth 1 https://github.com/jrollin/cartogWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/jrollin/cartog/agents-md)<a href="https://agentmods.dev/instructions/jrollin/cartog/agents-md"><img src="https://agentmods.dev/badge/instructions/jrollin/cartog/agents-md.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.09589 | $0.09589 |
| Opus 5 | $0.04795 | $0.04795 |
| Sonnet 5 | $0.01918 | $0.01918 |
| Haiku 4.5 | $0.00959 | $0.00959 |
Grade A, and why
cartog 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 today.
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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidelines
Project
cartog — code graph indexer for LLM coding agents. Cargo workspace (10 published crates + cartog-loom-models, a test-only model-checking crate), tree-sitter parsing, SQLite storage.
See docs/product.md for product context, docs/tech.md for architecture decisions, docs/structure.md for module layout, docs/usage.md for CLI commands and MCP/skill setup.
Build & Test
cargo build # debug build
cargo build --release # release build
cargo test --workspace # run all tests (~600 tests across the 10 published crates)
cargo fmt --check # check formatting
cargo clippy --all-targets -- -D warnings # lint
Always run cargo fmt --check and cargo clippy --all-targets -- -D warnings before committing.
cargo check --no-default-features -p cartog-rag # verify builds without ONNX
cargo check --features provider-ollama -p cartog-rag # verify Ollama feature
cargo check --features provider-openai -p cartog-rag # verify OpenAI feature
Integrity checks
make check # all checks (Rust project + fixtures + skill)
make check-rust # cargo fmt + clippy + test
make check-fixtures # validate all fixture codebases (py, ts, go, rs, rb, java, php, dart, swift, kt)
make check-fixtures-docker # same, forcing the Docker fallback for every language
make check-skill # skill tests (ensure_indexed.sh unit tests)
make eval-skill # LLM-as-judge skill evaluation (requires claude CLI)
make eval-agents # LLM-as-judge agent evaluation (requires claude CLI)
make bench # shell benchmark suite (13 scenarios x 12 languages)
make bench-resolution # edge-resolution rate (heuristic + host LSP, all languages; saves a provenance snapshot)
make bench-resolution-docker # same, LSP servers via Docker images (all 16, strict — no host fallback); `make lsp-images` builds them
make bench-resolution-scale # synthetic N-vs-2N repo, asserts index time stays near-linear (quadratic-regression guard, cf. #110)
make bench-memory # guards `cartog serve` idle footprint (macOS `footprint` / Linux `smaps_rollup`; in CI)
make bench-criterion # ONNX-free criterion benches (queries, per-language indexing, hybrid search)
make bench-onnx # real-model embed/rerank benches (needs `cartog rag setup`; not in CI)
make bench-rag # RAG relevancy benchmarks (in-memory + shell scenario 13)
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.
- today Changed · +42 tokens per session 9275e557bf2f
- 3d ago First seen · 272 lines · 9,547 tokens per session scan A 1b68392f78d1
cartog AGENTS.md is an instructions file published in the GitHub repository jrollin/cartog (16 stars, last pushed today), licensed MIT. It adds 9,589 tokens to every session, about $0.0479 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
claude-code-lsps CLAUDE.md
Claude Code instructions for Piebald-AI/claude-code-lsps, covering claude.md, project overview, repository structure, adding a new lsp plugin and lsp configuration fields.
GPT-RAG release.instructions.md
Instructions for Azure/GPT-RAG, a project described as: Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large…
RAGElo copilot-instructions.md
Instructions for zetaalphavector/RAGElo, covering copilot instructions — ragelo, project overview, commands, install for development and run with openai integration tests (requires openaiapikey).
pdf-brain AGENTS.md
Instructions for joelhooks/pdf-brain, covering pdf-brain agent notes, libsql quirks, ai sdk pattern, key files and docs.
nvim-mcp CLAUDE.md
Instructions for linw1995/nvim-mcp, covering claude.md, project overview, development commands, building and running and development build and run.
rag-code-mcp copilot-instructions.md
Instructions for doITmagic/rag-code-mcp, covering copilot instructions - ragcode mcp, ⚖️ the golden rule, project overview, architecture & patterns and developer workflows.