LangSkills Search

Search 119K evidence-backed skills from 95K+ papers & 24K+ tech sources

MIT-0 · Free to use, modify, and redistribute. No attribution required.
0 · 20 · 0 current installs · 0 all-time installs
MIT-0
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Benign
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Benign
high confidence
Purpose & Capability
Name/description (search an evidence-backed skills DB) align with the instructions: they require python3 and instruct the user to pip install langskills-rai and run a CLI search. The declared GitHub metadata matches the described purpose.
Instruction Scope
SKILL.md only instructs installing a package and running the langskills-rai CLI (skill-search and bundle-install). It does not direct reading unrelated files, accessing extra environment variables, or exfiltrating results to unexpected endpoints. Note: bundle-install may download and write domain bundles to the local project directory (expected behavior for populating an offline DB).
Install Mechanism
The registry contains no automated install spec (lowest-risk). The SKILL.md tells the user to run pip install langskills-rai. Installing a third-party Python package runs arbitrary code from that package and may download additional bundles; this is expected but you should vet the package source (PyPI/GitHub) before installing.
Credentials
No environment variables, credentials, or config paths are requested or required in the SKILL.md. The skill's needs are minimal and proportional to a CLI search tool.
Persistence & Privilege
always:false and no special persistence or cross-skill config modification are requested. The skill does not ask to be force-enabled; agent autonomy defaults remain unchanged.
Assessment
This skill is an instructions-only integration that delegates runtime work to a third-party Python package (langskills-rai). Before installing or running it: (1) verify the package and source (PyPI entry and the referenced GitHub repo) to ensure they match and are trustworthy; (2) install inside a virtualenv to limit effects to a contained environment; (3) be aware bundle-install will likely download data files and write them into your project directory — review where it stores bundles and how large they are; (4) inspect the package code (or its repository) if you want to be sure it doesn't perform unexpected network calls or collect unrelated system data. The static scanner had no files to analyze (SKILL.md only), so vetting the external package is the main remaining step.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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evidencevk97br19cmyapw8tq4kr1trv1ws830n36knowledge-basevk97br19cmyapw8tq4kr1trv1ws830n36latestvk97br19cmyapw8tq4kr1trv1ws830n36researchvk97br19cmyapw8tq4kr1trv1ws830n36searchvk97br19cmyapw8tq4kr1trv1ws830n36skillsvk97br19cmyapw8tq4kr1trv1ws830n36

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

Binspython3

SKILL.md

LangSkills Search

Search 119,608 evidence-backed skills covering 62K+ research papers and 23K+ coding/tech sources — all offline via FTS5 SQLite.

When to Use

  • User asks for best practices, how-tos, or techniques on a technical topic
  • You need evidence-backed knowledge (not LLM-generated guesses)
  • Research tasks that benefit from academic or real-world source citations

First-Time Setup

pip install langskills-rai
# Install matching bundles for the current project or pick a domain:
langskills-rai bundle-install --auto

Search Command

langskills-rai skill-search "<query>" [options]

Parameters

FlagDescriptionDefault
--top NNumber of results5
--domain <d>Filter by domainall
--min-score NMinimum quality score (0-5)0
--contentInclude full skill bodyoff
--format markdownOutput as Markdowntext

Example

langskills-rai skill-search "CRISPR gene editing" --domain research --top 3 --content --format markdown

Reading Results

Each result includes: title, domain, quality score (0-5), source URL, and optionally the full skill body. Higher scores indicate stronger evidence chains.

Available Domains

linux · web · programming · devtools · security · cloud · data · ml · llm · observability · research-arxiv · research-plos-* · research-elife · research-other

Tips

  • Use --content --format markdown to get copy-paste-ready skill text
  • Combine --domain with --min-score 4.0 for high-quality results
  • Run bundle-install --auto in a project directory to install only relevant domains

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