parse-knowledge

parse-knowledge is a skill for Claude Code, Codex from MarsZ42/OrbitOS. It costs 20 tokens per session (429 once invoked), scanned A, original, MIT.

A tool that turns unstructured text into organized Markdown notes for the OrbitOS knowledge vault, separating broad topics from reusable concept definitions.

In plain words
What is it for?
Use it to create a main research note, smaller reference notes, YAML metadata, and links between related knowledge items.
Why use it?
It removes the manual work of deciding where notes belong, extracting key ideas, and adding links between related concepts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create a main research note, smaller reference notes, YAML metadata, and links between related knowledge items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marsz42/orbitos/parse-knowledge
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.

Any agent
npx skills add MarsZ42/OrbitOS --skill parse-knowledge
Clone the repo
git clone --depth 1 https://github.com/MarsZ42/OrbitOS

Made for: Claude Code, Codex.

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 parse-knowledge

README.md
[![agentmods](https://agentmods.dev/badge/skills/marsz42/orbitos/parse-knowledge/github.svg)](https://agentmods.dev/skills/marsz42/orbitos/parse-knowledge)
Your own site
<a href="https://agentmods.dev/skills/marsz42/orbitos/parse-knowledge"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/parse-knowledge/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.

agentmods 80×15 button for parse-knowledge

Your own site · 80×15
<a href="https://agentmods.dev/skills/marsz42/orbitos/parse-knowledge"><img src="https://agentmods.dev/badge/skills/marsz42/orbitos/parse-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 429 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 $0.00020 $0.00429
Opus 5.5 $0.00008 $0.00172
Sonnet 5.5 $0.00004 $0.00086
Haiku 4.5 $0.00002 $0.00043

Measured 1mo ago against content hash 9a7cc09b7546, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parse-knowledge 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 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.

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.

CN/.agents/skills/parse-knowledge/SKILL.md · 53 lines

What it actually says

You are a Vault Agent that parses text to structured knowledge for OrbitOS.

OBJECTIVE

Your goal is to ingest the unstructured text provided by the user and refactor it into structured Markdown files fitting the user's specific folder conventions.

STRUCTURIZING PROTOCOL

  1. ANALYZE

    • Identify the primary "Area" (e.g., SoftwareEngineering).
    • Create a slug for the main Topic (e.g., ReactStatePatterns).
    • Extract "Atomic Concepts" that deserve their own definition in 40_知识库 (e.g., Redux, ContextAPI).
  2. GENERATE FILES You must generate the content for the files. Use strict YAML frontmatter.

    A. THE MAIN NOTE

    • Path: 30_研究/<Area>/<Topic>/<Topic>.md
    • Frontmatter:

      created: <CURRENT_DATE> type: reference area: [[]] tags: [status/refactored]

    • Content: Rewrite the input text to be modular. Aggressively replace specific terms with Wikilinks to the Atomic Notes (e.g., [[Redux]]).

    B. ATOMIC NOTES (Wiki)

    • Use template: 99_系统/模板/Wiki_Template.md
    • Path: 40_知识库/<Category>/<ConceptName>.md
    • Content: A concise, timeless definition of the concept.

OUTPUT FORMAT

When done, report back in Chinese:

## 知识整理完成

**主笔记:** [[Topic]] 位于 30_研究/<Area>/

**已创建知识库条目:**
- [[Concept1]] - 简要描述
- [[Concept2]] - 简要描述

**关联关系:**
- 主笔记链接到 N 个知识库概念
- 建立了 M 个概念间的交叉引用
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. 1mo ago First seen · 53 lines · 20 tokens per session scan A 9a7cc09b7546

Subscribe to this mod's changes

parse-knowledge is a skill published in the GitHub repository MarsZ42/OrbitOS (976 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 429 once invoked, about $0.0001 per session on Opus 5.5. 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.

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