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/n24q02m/better-code-review-graph/agents-mdgit clone --depth 1 https://github.com/n24q02m/better-code-review-graphWrote 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/n24q02m/better-code-review-graph/agents-md)<a href="https://agentmods.dev/instructions/n24q02m/better-code-review-graph/agents-md"><img src="https://agentmods.dev/badge/instructions/n24q02m/better-code-review-graph/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 | $0.02549 | $0.02549 |
| Opus 5 | $0.01274 | $0.01274 |
| Sonnet 5 | $0.00510 | $0.00510 |
| Haiku 4.5 | $0.00255 | $0.00255 |
Grade A, and why
better-code-review-graph 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
better-code-review-graph
Fork of code-review-graph with fixed multi-word search, qualified call resolution,
dual-mode embedding (ONNX local + cloud chain via EMBEDDING_MODELS), and output pagination.
See AGENTS.md va README.md de hieu architecture va configuration.
Cau truc
-
src/better_code_review_graph/-- Package chinh (src layout)server.py-- FastMCP server, 7 tools: graph + query + review (3 main) + config + security + help + config__open_relay (mcp-core relay helper)tools.py-- MCP tool implementations (build, query, impact, review, search, embed, stats, docs, large functions)parser.py-- Tree-sitter parsing (14 langs) + call target resolutiongraph.py-- SQLite GraphStore, search, impact radius, NetworkX cacheincremental.py-- Git integration, file watching, incremental updatesembeddings.py-- Dual-mode embedding: local ONNX through the fastretrieval registry + cloud chain (EMBEDDING_MODELS) via litellm passthrough (mcp_core.llm)docs/-- Help tool documentation (graph.md, query.md, review.md, config.md)
-
cli.py-- local CLI: no args starts MCP stdio; positional subcommands expose graph/query/review/security over the same domain services__init__.py-- Version export__main__.py--python -mentry (calls cli.main)py.typed-- PEP 561 marker
-
tests/-- Mirror source modules -
skills/-- Claude Code skills (impact-audit, onboard-repo, refactor-check, review-delta, review-pr, security-sweep) -
hooks/-- SessionStart + UserPromptSubmit + PostToolUse hooks -
.claude-plugin/-- Plugin manifest + marketplace metadata
Local-first boundary
- CLI and bundled Skills are the primary coding-harness surfaces.
- MCP stdio is a secondary protocol adapter; it must not duplicate graph logic.
- Graph state is local at
<repo>/.code-review-graph/graph.dbunless explicit self-host/multi-user configuration changes the data directory. - CRG has no hosted Cloudflare runtime in the target topology. PyPI, CI, security, GitHub releases, and eligible stable MCP Registry publication remain active. Historical OCI tags remain available; new public OCI images do not.
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 · +40 tokens per session 48876f4b98ee
- 4d ago First seen · 168 lines · 2,509 tokens per session scan A b425fbb71477
better-code-review-graph AGENTS.md is an instructions file published in the GitHub repository n24q02m/better-code-review-graph (67 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,549 tokens to every session, about $0.0127 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
ui-ux-pro-max-skill CLAUDE.md
Claude Code instructions for nextlevelbuilder/ui-ux-pro-max-skill, covering claude.md, project overview, search command, architecture and sync rules.
gortex CLAUDE.md
Claude Code instructions for zzet/gortex, covering gortex, build & test, codebase overview, discovery (read once, then keep using) and llm provider (powers ask and searchsymbols assist: modes).
agent-skills AGENTS.md
AGENTS.md instructions for tech-leads-club/agent-skills, covering agents.md, workflow orchestration, 1. plan mode default, 2. subagent strategy and 3. verification before done.
agent-skills CLAUDE.md
Claude Code instructions for tech-leads-club/agent-skills, a project described as: The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
imagine-mcp AGENTS.md
AGENTS.md instructions for n24q02m/imagine-mcp, covering imagine-mcp, architecture, tool signatures, model selection and transport modes.
wingman AGENTS.md
Instructions for eat-pray-ai/wingman, covering agents.md — wingman (@eat-pray-ai/wingman), quick reference and documentation index.