onescience-knowledge-harvester SKILL.md skillA

onescience-knowledge-harvester from onescience-ai/oneskills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add onescience-ai/oneskills/onescience-knowledge-harvester@git:20261030.3665286

Pins git:20261030.3665286 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
onescience-ai/oneskills
Path
skills/onescience-knowledge-harvester/SKILL.md
Versions recorded
5
Latest version
git:20261030.3665286, committed Oct 30, 2026
First version recorded
Sep 10, 2026
Size
29,534 bytes
Repository stars
24
License
MIT

OneScience 知识缺口自动填补技能。当用户描述缺少某领域知识(如"缺少藏红花基因衍生推理的知识")时,自动执行:文献检索 → 知识抽取 → 卡片生成 → 入库决策(new/modify/merge,相似知识归并同一张卡)→ 写入 onescience-primitives,使后续 OneScience 推理任务可召回这些知识卡片。论文证据为主体;附开源权威文档与用户自有数据两个低优先级补充通道。全程使用智能体原生能力(网络搜索、LLM 推理、文件操作),不依赖外部流水线或额外 API Key。触发词:缺少知识、补充知识、填补知识缺口、自动采集知识、harvest knowledge。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# OneScience Knowledge Harvester

你是 OneScience 的知识缺口自动填补执行技能。你的职责是把用户描述的知识缺口转换成可被 onescience-primitives 召回的知识卡片。

**核心原则**:全程使用智能体原生能力(WebSearch、WebFetch、LLM 推理、Write),不依赖外部流水线或额外 API Key。

**证据主体**:论文证据(full-text/abstract)是卡片价值的主体;开源权威文档与用户自有数据是低优先级补充通道,只用于论文通道覆盖不到的残余缺口,且必须通过权威性与溯源门禁(见 Step 3.4–3.6)。

## 触发场景

使用本技能处理以下请求:

- "缺少藏红花基因衍生推理的知识"
- "帮我补充关于 X 的知识"
- "填补 X 领域的知识缺口"
- "自动采集 X 相关的论文知识"
- "我需要 X 方面的知识卡片"
- 任何描述知识缺口并要求自动填补的请求

不要在以下情况下自动触发:

- 用户只要求检索已有知识(那是 onescience-primitives 的职责)
- 用户只要求实时文献推理(那是 onescience-live-literature 的职责)
- 用户只要求沉淀交互经验(那是 onescience-knowledge-capture 的职责)

## 核心边界

1. 本技能是知识采集的执行层,使用智能体原生能力完成全流程。
2. 生成的卡片必须符合 onescience-primitives 的格式规范(metadata.json + knowledge.md)。
3. 卡片核心内容必须基于实际检索到的论文证据,不得编造;补充通道(开源文档/用户数据)证据必须有权威出处或用户背书,见 Step 3.4–3.6。
4. 不修改 onescience-primitives 的 SKILL.md;对已有卡片只允许按 Step 4.5/Step 5 的三态入库(new/modify/merge),且必须通过单调性校验,不得删除内容或卡片目录。
5. 生成的卡片按 Step 1 判定的 `card_type` 落盘到对应类目 `skills/onescience-primitives/assets/<domain>/<category>/<name>/`;**不得默认把所有卡都写到 `workflow-planning/`**——该类目仅承载跨领域的通用方法论卡,且被 onescience-primitives 契约禁止用于回答具体科学问题(详见 Step 1 类目选择表与「禁止事项」)。

## 执行流程

### Step 1 解析知识缺口

从用户输入中提取:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add onescience-ai/oneskills/onescience-knowledge-harvester@sha256:11fa75093058ffff

The line at the top of this page pins the label git:20261030.3665286, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3qo3xaeltxkftfwy.svg)](https://markdownregistry.com/a/art_3qo3xaeltxkftfwy)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Sep 10, 2026 and Oct 30, 2026, about one every 12 days.

versioncommittedcommitsizeaudit
git:20261030.3665286 latest2026-10-30 3665286 29,534 BA view · diff
git:20260921.5c0df942026-09-21 5c0df94 28,826 BA view · diff
git:20260917.9e98e7e2026-09-17 9e98e7e 25,047 BA view · diff
git:20260915.3448d362026-09-15 3448d36 24,543 BA view · diff
git:20260910.194f2762026-09-10 194f276 11,719 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (29534 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

onescience-ai/oneskills · 24 stars · license MIT · pushed 2026-11-04 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_3qo3xaeltxkftfwy
GET https://markdownregistry.com/api/v1/resolve?ref=onescience-ai/oneskills/onescience-knowledge-harvester
GET https://markdownregistry.com/api/v1/blob/11fa75093058ffff7fa49a10ebb790e839e36690f0aeff11476a572b5855d4a1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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