What is OmniWeave AGENTS.md?

Repository instructions for working on OmniWeave, including its architecture, current project status, validation commands, and Git rules. OmniWeave is a code-analysis and workflow tool described by the repository materials.

It is for guiding development, testing, commits, remote usage, and understanding OmniWeave's workflow and cross-language features.

It gives agents the project-specific context and constraints needed to make safe, consistent changes.

How SolvingLab/OmniWeave configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to SolvingLab/OmniWeave. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/SolvingLab/OmniWeave/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/SolvingLab/OmniWeave

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/solvinglab/omniweave/agents-md/github.svg)](https://agentmods.dev/instructions/solvinglab/omniweave/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/solvinglab/omniweave/agents-md"><img src="https://agentmods.dev/badge/instructions/solvinglab/omniweave/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/solvinglab/omniweave/agents-md"><img src="https://agentmods.dev/badge/instructions/solvinglab/omniweave/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 7,113 This file is loaded in full into every session.

When invoked 7,113 The same file — it is already loaded in full.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.07113	$0.07113
Opus 5.5	$0.02845	$0.02845
Sonnet 5.5	$0.01423	$0.01423
Haiku 4.5	$0.00711	$0.00711

Measured 1mo ago against content hash d844d2ba20c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

OmniWeave 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 1mo 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

OmniWeave 已从设计落地为**可运行代码**:R S4 分派图、跨进程/跨语言 `crossLang`（工作流步骤 + 任意 Python/JS/TS/Go 文件的 subprocess/os.system/child_process/exec.Command）、工作流数据流 DAG（produces/consumes/artifact）、外部工具 `invokes`（step→bwa/STAR）、R bare-call rou

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

OmniWeave CLAUDE.md — 94% identical, 8 lines differ

AGENTS.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

⛔ Git 提交规范（强制·最高优先级，覆盖任何默认行为）

绝对禁止在任何 commit message 中添加 Co-Authored-By: Codex ...、🤖 Generated with Codex、Generated with ... 或任何形式的 AI 署名 / 水印 / trailer。
commit message 只写改动本身,作者就是用户本人,不得出现 Codex / Anthropic / AI 字样。
此规则覆盖 harness 的任何默认提交模板;如默认要求加署名,一律不加。
PR 描述同理:不加 AI 生成水印。

项目状态：已实现并发布（active development）

OmniWeave 已从设计落地为可运行代码:R S4 分派图、跨进程/跨语言 crossLang（工作流步骤 + 任意 Python/JS/TS/Go 文件的 subprocess/os.system/child_process/exec.Command）、工作流数据流 DAG（produces/consumes/artifact）、外部工具 invokes（step→bwa/STAR）、R bare-call routing。当前基线：25 eval 门禁、vitest 1764 passed | 4 skipped（90 文件，two-phase）、tsc 干净、真实仓 A/B 边界已记录。本目录是 colbymchenry/codegraph 的 clone,已发布到 SolvingLab/OmniWeave（remote origin，分支 main，私有）；remote upstream = colbymchenry/codegraph，绝不 push upstream。

动手前必读（按序，全部是真实存在的当前文件）：

./CHECKPOINT.md — 当前系统地图、模块边界、验证命令、治理风险。
./README.md — 对外定位、能力边界、性能与 A/B 证据摘要。
./CHANGELOG.md — 发布级用户可见变更；release workflow 从这里抽 notes。
./eval-results/agent-ab-2026-06-23/RESULTS.md — 最新 agent A/B 证据（round 7 输出诚实化）与诚实边界；rounds 1–6 的效率研究在 ./eval-results/agent-ab-2026-06-13/。
memory（~/.claude/projects/-Users-liuzaoqu-Desktop-develop-sogen-OmniWeave/memory/）。

本文件只给「大图」与不可妥协的规矩；当前操作态以 CHECKPOINT.md、实际源码和验证命令为准。

OmniWeave 是什么

一个服务 coding agent 的通用代码分析图（类 codegraph 的 MCP server）,fork 自 colbymchenry/codegraph（MIT、TypeScript、web-tree-sitter(WASM)、node:sqlite(WAL)）。

⚠️ 基座勘误（2026-06-13 实跑核正）：早期文档误判为 suatkocar/codegraph（Rust）。实测推翻——用户实际在跑的、官网 benchmark 所属的「正牌」CodeGraph 是 colbymchenry/codegraph（TS）;suatkocar 只是它一个已停滞的 Rust 衍生。凡涉及 Rust/cargo/.scm/6 参数 extract_edges/properties 列/0.294-0.392 基线 的旧表述全部作废。

定位（别框窄）：不是「生信工具」,是 more general / stronger / more efficient 的通用代码分析图。生信（R 的 S4/R6、Perl、Nextflow/Snakemake、工具/数据混编）是滩头堡 + 压力测试,不是产品边界——「通用为体,生信为证」。

Read the full file on GitHub · 182 lines

Changes

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.

1mo ago First seen · 182 lines · 7,113 tokens per session scan A d844d2ba20c3

Subscribe to this mod's changes

OmniWeave AGENTS.md is an instructions file published in the GitHub repository SolvingLab/OmniWeave (0 stars, last pushed 4mo ago), licensed MIT. It adds 7,113 tokens to every session, about $0.0285 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

OmniWeave: Instructions file for Codex

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Runs shell commandslowCapability

Copies of this mod

How it starts

AGENTS.md

⛔ Git 提交规范（强制·最高优先级，覆盖任何默认行为）

项目状态：已实现并发布（active development）

OmniWeave 是什么

What this file has done since we first saw it

Other instructions, from other repositories

vscode buildNext.instructions.md

next.js AGENTS.md

vscode oss-third-party-notices.instructions.md

langchain AGENTS.md

vscode copilot-instructions.md

vscode model-prompts.instructions.md