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/apache/hugegraph-ai/agents-mdgit clone --depth 1 https://github.com/apache/hugegraph-aiWhat 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 | $0.00648 | $0.00648 |
| Opus 5 | $0.00324 | $0.00324 |
| Sonnet 5 | $0.00130 | $0.00130 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
hugegraph-ai 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI agents working in this repository. Keep README content in README files; keep this file focused on decisions agents commonly get wrong.
Stack & Modules
- This is a Python
uvworkspace. Prefer root-level workspace commands unless a module-specific file says otherwise. hugegraph-llm/is the primary and most frequently changed module. When editing or reviewing it, readhugegraph-llm/AGENTS.mdfirst.hugegraph-python-client/is a supporting dependency for HugeGraph access. Change it only when the client contract itself must change, and verifyhugegraph-llmcallers when you do.- Treat
hugegraph-ml/andvermeer-python-client/as lower-frequency modules. Do not expand changes into them without a direct reason.
Testing Expectations
- Any code change must include sufficient and effective test coverage for the changed behavior, regression risk, or failure path.
- Do not add tests that only improve coverage numbers while mocking away the behavior being changed.
- If a change cannot reasonably include automated tests, state why and provide the manual verification performed.
- Cross-module or shared dependency changes must test the affected downstream module, not only the package where the edit was made.
Code Search Anchors
hugegraph-llm/src/hugegraph_llm/- main LLM, RAG, KG, prompt, API, and vector-index code.hugegraph-python-client/src/pyhugegraph/- Python client used by LLM code to talk to HugeGraph.pyproject.tomland modulepyproject.tomlfiles - workspace membership, dependency groups, lint settings, Python versions.rules/README.md- staged AI-assisted workflow for multi-file features, API contract changes, or cross-module design changes.
Build & Test
uv sync --all-extras
uv run ruff format --check .
uv run ruff check .
- Run tests for the affected module rather than defaulting to a full-repository test sweep.
- For
hugegraph-llm, use the module CI split between unit-style tests and integration tests. - For
hugegraph-python-client, include client tests and anyhugegraph-llmtests needed to validate caller compatibility.
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 · 49 lines · 648 tokens per session scan A b449241bef2b
hugegraph-ai AGENTS.md is an instructions file published in the GitHub repository apache/hugegraph-ai (141 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 648 tokens to every session, about $0.0032 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
LightRAG AGENTS.md
AGENTS.md instructions for HKUDS/LightRAG, covering repository guidelines, project overview, project structure, module layout (lightrag/) and core architecture.
edgequake AGENTS.md
Instructions for raphaelmansuy/edgequake, covering repository guidelines, project structure & module organization, build, test, and development commands, quick start with make and start with ollama (default).
jurisd AGENTS.md
Instructions for russellbrenner/jurisd, covering agent instructions for jurisd, purpose, current foundation architecture, command contract rule and mcp surface rule.
LightRAG CLAUDE.md
Claude Code instructions for HKUDS/LightRAG, a project described as:
ariadne AGENTS.md
Instructions for ajbarea/ariadne, covering agents.md — ariadne, what this project is, build & run, conventions and where things go.
myrmion-graphrag CLAUDE.md
Claude Code instructions for e2its/myrmion-graphrag, covering claude.md, qué es esto, herramientas del servidor myrmion-graphrag (documentos), herramientas del servidor myrmion-codebase (código) and mantenimiento obligatorio del codebaseinventory.