literature-discovery-acquisition SKILL.md skillA
literature-discovery-acquisition from daylily-huang/scholarflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add daylily-huang/scholarflow/literature-discovery-acquisition@git:20261101.4fbaeefPins git:20261101.4fbaeef in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- daylily-huang/scholarflow
- Path
skills/literature-discovery-acquisition/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261101.4fbaeef, committed Nov 1, 2026
- First version recorded
- Sep 8, 2026
- Size
- 39,624 bytes
- Repository stars
- 41
- License
- MIT
通用学科科研文献系统发现、交互问询、结构化初筛与开源全文获取。 用于学位论文开题、科研立项、系统综述等严谨场景的高召回可审计文献调研。.
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
# 学科文献发现、交互问询与开源全文获取专业技能 (literature-discovery-acquisition) 本技能用于在严谨科研场景下执行系统化、高召回、可审计、防幻觉的文献发现与开源全文获取闭环工作流（Literature Discovery & Open-Access Acquisition）。 > **核心哲学**： > 搜索的任务是发现真实的候选证据，而不是制造答案。 > 首要目标是提高召回率（Recall / Coverage），宁可如实陈述检索缺口，也绝不捏造文献元数据或根据摘要脑补全文实验细节。 > > ### 题录覆盖优先与双层目标 (Ordered Objectives) > 1. **首要目标 (Primary) — 题录发现完整性 (Comprehensive Metadata Discovery)**： > 最大化相关文献的发现率和题录覆盖率（Recall-first），明确“有哪些相关文献存在”，彻底降低系统性漏检风险。 > 2. **次要目标 (Secondary) — 全文尽力获取 (Best-Effort Full-Text Acquisition)**： > 在合法、技术可行与资源允许范围内尽力获取已发现文献的全文；但**全文获取失败绝不能删除题录记录**。 > > **核心铁律**： > > **A discovered record remains part of the candidate corpus regardless of full-text acquisition status.** > > 凡已经被可靠发现的文献题录，无论全文是否成功获取，都必须保留在候选文献集中。严禁因 PDF 获取失败而从文献全集中剔除题录。 > > **双台账解耦 (Dual Independent Ledgers)**： > - **Ledger A — 检索覆盖台账 (Retrieval Coverage Ledger)**：审计数据库与检索式执行完整度（搜了多少、抓了多少、分页是否截断、数据库覆盖是否 COMPLETE / PARTIAL / UNKNOWN）； > - **Ledger B — 全文获取台账 (Full-Text Acquisition Ledger)**：审计已发现文献的全文获取状态（OA下载、反爬拦截、需登录墙、付费受限）。 > > **检索诚实性原则 (Truth in Search)**： …
Read the whole file at its exact version.
How to install
mdr add daylily-huang/scholarflow/literature-discovery-acquisition@sha256:74679b5df3f6f3c7The line at the top of this page pins the label git:20261101.4fbaeef, 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.
[](https://markdownregistry.com/a/art_fuuwbxicd4c3u6pi)
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Versions
The registry has recorded 5 versions of this file, between Sep 8, 2026 and Nov 1, 2026, about one every 13 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261101.4fbaeef latest | 2026-11-01 | 4fbaeef | 39,624 B | A | view · diff |
| git:20260912.2073350 | 2026-09-12 | 2073350 | 36,038 B | A | view · diff |
| git:20260912.48adfed | 2026-09-12 | 48adfed | 35,468 B | A | view · diff |
| git:20260910.f1f2f40 | 2026-09-10 | f1f2f40 | 34,564 B | A | view · diff |
| git:20260908.2c54c02 | 2026-09-08 | 2c54c02 | 34,566 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (39624 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
daylily-huang/scholarflow · 41 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fuuwbxicd4c3u6pi GET https://markdownregistry.com/api/v1/resolve?ref=daylily-huang/scholarflow/literature-discovery-acquisition GET https://markdownregistry.com/api/v1/blob/74679b5df3f6f3c77f752df5ee2a946d14c74c356d557681b5241d9513e729e3
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.