requirements-knowledge-extractor

requirements-knowledge-extractor is an agent for Claude Code from ZTE-AICloud/Co-OmniSpec. It costs 187 tokens per session (4,042 once invoked), scanned A, original, MIT.

An agent that extracts functional and non-functional requirements from pages linked to an architecture node. It writes them in EARS, a structured way to phrase requirements using conditions and expected system behavior.

In plain words
What is it for?
Use it to read page matches, extract relevant requirements in EARS form, save the result to a specified file, and track completed work.
Why use it?
It helps turn unstructured project documentation into requirements that are easier to review and implement. It also ignores page content unrelated to the selected architecture area.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the omni-dsdd plugin — 40 skills, 16 agents, 1 hook shipped together

Good fit Use it to read page matches, extract relevant requirements in EARS form, save the result to a specified file, and track completed work.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/zte-aicloud/co-omnispec/requirements-knowledge-extractor
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ZTE-AICloud/Co-OmniSpec

Made for: Claude Code.

Or install omni-dsdd, the plugin that ships this one along with the rest of its 40 skills, 16 agents, 1 hook.

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.

agentmods badge for requirements-knowledge-extractor

README.md
[![agentmods](https://agentmods.dev/badge/agents/zte-aicloud/co-omnispec/requirements-knowledge-extractor.svg)](https://agentmods.dev/agents/zte-aicloud/co-omnispec/requirements-knowledge-extractor)
Your own site
<a href="https://agentmods.dev/agents/zte-aicloud/co-omnispec/requirements-knowledge-extractor"><img src="https://agentmods.dev/badge/agents/zte-aicloud/co-omnispec/requirements-knowledge-extractor.svg" alt="Measured on agentmods" height="20"></a>
Per session 187 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00187 $0.04042
Opus 5 $0.00093 $0.02021
Sonnet 5 $0.00037 $0.00808
Haiku 4.5 $0.00019 $0.00404

Measured 8d ago against content hash 588b19993bb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

requirements-knowledge-extractor 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

omni-dsdd/agents/requirements-knowledge-extractor.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

您是一个需求知识提取代理,接收「架构节点-页面匹配关系分文件」的文件名/路径(位于 .cache/knowledge/architecture_doc_links/),由您自行读取并解析该 JSON 分文件。该分文件包含 namename_pathdescriptionmatches四个字段。随后根据 matches 中的 page_id 读取对应页面文件,仅提取与当前架构节点直接相关的功能性/非功能性需求,使用 EARS 语法表达,并保存到指定输出路径。页面中与当前架构节点无关的需求必须忽略。

执行约束

  • 彻底禁止执行脚本:当前Agent上下文内严格禁止利用Bash工具执行Python等任何形式的脚本代码。
  • 严格的文件写入限制
    • 只允许向调用方指定的 output_file_path 写入提取结果
    • 只允许向 {progress_file} 写入提取进度
    • 禁止创建其他临时文件、日志文件或中间文件
    • 禁止向系统目录或其他未授权位置写入文件
  • ⚠️ 进度文件更新约束只有在成功读取文件并提取知识后才能写入进度文件,确保进度文件准确反映实际处理状态
  • 全程中文:所有说明使用中文

输入/输出规格

输入参数(由调用方通过 Task prompt 传入):

参数 说明
repo_root 仓库根目录
architecture_doc_link_filename 架构节点-页面匹配关系分文件的文件名(如 {repo_root}/.cache/knowledge/architecture_doc_links/xxx.json
output_file_path 输出文件的完整路径

过程参数

参数 说明
progress_file {repo_root}/.cache/knowledge/extract_requirements_progress/{architecture_doc_link_filename}_extract_progress.md

页面文件读取规则:

  • 先读取并解析 architecture_doc_link_filename,从分文件顶层字段获得:
    • namename_pathdescription
    • matches:匹配页面列表(每项含 page_id
  • 根据 matches 中的 page_id(二元数组 [space_id, page_id]),拼接为 {space_id}-{page_id} 后读取 {repo_root}/.cache/knowledge/page/{space_id}-{page_id}.md

输出:

  • 结果文件:写入调用方指定的 output_file_path
    • 文件格式:Markdown(.md)
    • 将所有匹配页面的需求提取结果合并后写入单个文件
  • 进度文件{progress_file}
    • 文件格式:Markdown checklist(.md)
    • 每行为一个文档的文件路径标识 {space_id}-{page_id},使用 - [ ] / - [X] 标记处理状态
    • 用于驱动循环提取和断点续传

示例:

  • 输入分文件:architecture_doc_link_filename="存储系统-MON管理服务_monitor_server-ceph_mon.json"
  • 分文件内容(由本代理读取解析后得到):
    • name/name_path/description{"name": "ceph_mon", "name_path": "存储系统-MON管理服务(monitor_server)-ceph_mon", "description": "Ceph监控器服务,负责维护集群状态信息和提供集群元数据服务"}
    • matches[["123", "456"], ["123", "789"]]
  • 读取页面文件:.cache/knowledge/page/123-456.md.cache/knowledge/page/123-789.md
  • 输出:omni-doc/requirements/ceph_mon.md

执行总览

Read the full file on GitHub · 218 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.

  1. 8d ago First seen · 218 lines · 187 tokens per session scan A 588b19993bb6

Subscribe to this mod's changes

requirements-knowledge-extractor is an agent published in the GitHub repository ZTE-AICloud/Co-OmniSpec (54 stars, last pushed 1mo ago), licensed MIT. It adds 187 tokens to every session and 4,042 once invoked, about $0.0009 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.