Borrowing it
Nothing to install: this file belongs to TianGzlab/OmicsClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TianGzlab/OmicsClaw/main/AGENTS.mdgit clone --depth 1 https://github.com/TianGzlab/OmicsClawWrote 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/tiangzlab/omicsclaw/agents-md)<a href="https://agentmods.dev/instructions/tiangzlab/omicsclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/tiangzlab/omicsclaw/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/tiangzlab/omicsclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/tiangzlab/omicsclaw/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.10068 | $0.10068 |
| Opus 5.5 | $0.04027 | $0.04027 |
| Sonnet 5.5 | $0.02014 | $0.02014 |
| Haiku 4.5 | $0.01007 | $0.01007 |
Grade A, and why
OmicsClaw AGENTS.md scanned grade A with 1 finding 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 29d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
for data **leaving** the machine (`scp`, remote `rsync`, `ssh`, `curl` How it starts
The opening of the file, as written. The whole thing — 751 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — OmicsClaw Guide for AI Coding Agents
This guide is for AI coding agents working on the OmicsClaw codebase.
Repository Working Contract
Before any complex repository maintenance, feature, or refactor task, read
README.md for what the project is and CHANGELOG.md for recent decisions
and milestones. Then read this AGENTS.md, root SPEC.md, and the directly
relevant code/docs.
Core rules:
- Reply in the user's language, usually Chinese or English.
- Stay concise, practical, and execution-focused.
- For non-trivial changes, work from a concise plan, keep edits scoped, and verify claims with concrete commands or file inspections before reporting completion.
- When you make an important decision or complete a meaningful milestone,
add an entry at the top of
CHANGELOG.md. ChangeREADME.mdonly when a user-facing entry point, install step or headline feature changes; its What's New holds at most five items of one sentence each. - Run the
humanizerskill (.claude/skills/humanizer/SKILL.md, from blader/humanizer) over any prose you write: code comments and docstrings, documentation, plans, README text, commit messages and PR descriptions. Use its embedded mode and keep code, commands, paths and identifiers unchanged. Agents without skill support read that file and apply its patterns directly.
Project Overview
OmicsClaw is a multi-omics analysis platform supporting 88 skills across 7 domains: spatial transcriptomics, single-cell omics, genomics, proteomics, metabolomics, bulk RNA-seq, and literature. Each skill is a self-contained module that performs a specific analysis task via CLI or Python API. All processing is local-first. Design is inspired by ClawBio.
Note: OmicsClaw evolved from SpatialClaw. The agent framework was rebuilt
layer by layer during 2026; docs/FRAMEWORK-REBUILD.md is the living account
of what shipped, what was deleted, and what is still carried forward.
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.
- 29d ago Changed · +208 lines · +2,815 tokens per session 78e0ce209594
- 2mo ago First seen · 543 lines · 7,253 tokens per session scan A 61d31a35c77d
OmicsClaw AGENTS.md is an instructions file published in the GitHub repository TianGzlab/OmicsClaw (161 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 10,068 tokens to every session, about $0.0403 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
OmicsClaw AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| OmicsClaw AGENTS.mdTianGzlab/OmicsClaw | Instructions file | 161 | 1mo ago | Apache-2.0 | A | 10,068 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |