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/raysonmeng/agent-bridge/gemini-mdgit clone --depth 1 https://github.com/raysonmeng/agent-bridgeWhat 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 | $0.00422 | $0.00422 |
| Opus 5 | $0.00211 | $0.00211 |
| Sonnet 5 | $0.00084 | $0.00084 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
agent-bridge GEMINI.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 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.
This is a copy
100% identical to opencow AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
MCP Tools: code-review-graph
IMPORTANT: This project has a knowledge graph. ALWAYS use the code-review-graph MCP tools BEFORE using Grep/Glob/Read to explore the codebase. The graph is faster, cheaper (fewer tokens), and gives you structural context (callers, dependents, test coverage) that file scanning cannot.
When to use graph tools FIRST
- Exploring code:
semantic_search_nodesorquery_graphinstead of Grep - Understanding impact:
get_impact_radiusinstead of manually tracing imports - Code review:
detect_changes+get_review_contextinstead of reading entire files - Finding relationships:
query_graphwith callers_of/callees_of/imports_of/tests_for - Architecture questions:
get_architecture_overview+list_communities
Fall back to Grep/Glob/Read only when the graph doesn't cover what you need.
Key Tools
| Tool | Use when |
|---|---|
detect_changes |
Reviewing code changes — gives risk-scored analysis |
get_review_context |
Need source snippets for review — token-efficient |
get_impact_radius |
Understanding blast radius of a change |
get_affected_flows |
Finding which execution paths are impacted |
query_graph |
Tracing callers, callees, imports, tests, dependencies |
semantic_search_nodes |
Finding functions/classes by name or keyword |
get_architecture_overview |
Understanding high-level codebase structure |
refactor_tool |
Planning renames, finding dead code |
Workflow
- The graph auto-updates on file changes (via hooks).
- Use
detect_changesfor code review. - Use
get_affected_flowsto understand impact. - Use
query_graphpattern="tests_for" to check coverage.
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 · 39 lines · 422 tokens per session scan A a506e967214a
agent-bridge GEMINI.md is an instructions file published in the GitHub repository raysonmeng/agent-bridge (315 stars, last pushed 3d ago), licensed MIT. It adds 422 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to opencow AGENTS.md, differing in 0 lines, and is treated as a copy.
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