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/haocn-ops/git-top/agents-mdgit clone --depth 1 https://github.com/haocn-ops/git-topWhat 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 | $0.01076 | $0.01076 |
| Opus 5 | $0.00538 | $0.00538 |
| Sonnet 5 | $0.00215 | $0.00215 |
| Haiku 4.5 | $0.00108 | $0.00108 |
Grade A, and why
git-top 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 yesterday.
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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git.Top Coding Agent Guide
This guide is the shortest safe entry point for coding agents that need to modify Git.Top.
Product Shape
Git.Top is a Cloudflare Worker knowledge product. The Worker is the only runtime surface: it serves human HTML pages, REST APIs, MCP tools, GRP, GitHub sync, governance jobs, D1-backed data, OpenAPI, and LLM discovery files.
Core flow:
GitHub API
-> sync and derived data
-> Cloudflare D1
-> Worker pages, REST APIs, MCP tools, GRP, trust, quality, and eval gates
Key Files
src/index.ts: Worker routing for pages, API, MCP, static discovery files, scheduled tasks, and admin routes.src/api.ts: REST API handlers and request parsing.src/mcp.ts: MCP discovery, tool schemas, and tool calls.src/openapi.ts: OpenAPI document exposed as/openapi.jsonand/api/openapi.json.src/agent-map.ts: machine-readable map from concepts to pages, REST endpoints, MCP tools, output fields, and trust fields.src/project-search.ts: search, recommendation, project lookup, alternatives, and related project helpers.src/quality.ts,src/trust-gate.ts,src/sync-status.ts: trust, quality, and freshness surfaces.src/db.ts,src/db-*-store.ts,src/db-mapping.ts: D1 schema access and mapping.data/seed-repositories.json: curated source corpus.scripts/*.mjs: validation, eval, seeding, smoke, governance, and release automation.docs/API.md,docs/MCP.md,docs/AGENT_QUICKSTART.md: primary agent integration docs.docs/AGENT_NATIVE_ASSESSMENT_AND_OPTIMIZATION_PLAN.md: current agent-native product assessment and roadmap.docs/AGENT_NATIVE_OPTIMIZATION_IMPLEMENTATION_REPORT.md: completed implementation record for the agent-native optimization pass.docs/AGENT_NATIVE_OPTIMIZATION_PR_SUMMARY.md: review-ready summary of the optimization changes.
Edit Rules
- Keep the Worker as the source of truth. Do not add a separate app runtime unless the product direction explicitly changes.
- Preserve
metadata.source,metadata.reason,require_d1, and trust fields on agent-facing responses. - Prefer adding structured fields over prose-only changes when agents need to consume a result.
- Keep exact-intent search behavior distinct from broad
ranking=browsediscovery. - Do not silently change generated artifacts. If changing source data or eval fixtures, regenerate and validate the derived files.
- Treat existing uncommitted changes as user work. Read before editing and avoid unrelated rewrites.
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.
- yesterday First seen · 131 lines · 1,076 tokens per session scan A 7aabec2b8b3d
git-top AGENTS.md is an instructions file published in the GitHub repository haocn-ops/git-top (0 stars, last pushed yesterday), licensed MIT. It adds 1,076 tokens to every session, about $0.0054 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.
Other instructions, from other repositories
MirrorArc AGENTS.md
AGENTS.md instructions for cz1993/MirrorArc, covering what this repo is, ownership (non-negotiable), the no-data rule (critical, zero tolerance), protect the differentiators and tech + quality bar.
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
llm-wiki-agent GEMINI.md
Gemini CLI instructions for SamurAIGPT/llm-wiki-agent, covering llm wiki agent — schema & workflow instructions, how to use, directory layout, page format and ingest workflow.
ontology-atlas AGENTS.md
Instructions for wlsdks/ontology-atlas, covering agents.md — ontology-atlas, product and non-negotiable architecture, start here, structure and routes and operating gates and skills.
OmicsClaw AGENTS.md
Instructions for TianGzlab/OmicsClaw, covering agents.md — omicsclaw guide for ai coding agents, repository working contract, project overview, setup and pip install -e .
vscode-gitlens CLAUDE.md
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