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EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
EverMind-AI/SkillCorpus
SkillCorpus is a tool for DeepSeek Harness. Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
A well-maintained, research-backed skill retrieval layer for DeepSeek Harness, but install details are unclear from the
README describes a structured pipeline with curation, safety, license gates, evaluation suites, and separate match/evaluate modules, but no CI, test, or dev-setup details are shown.
The README mentions safety and license gates and Apache-2.0/MIT licensing, but no install command or permission model is given, so risk cannot be fully assessed.
It addresses a real pain point by retrieving vetted SKILL.md procedures into agent context, with benchmark gains reported across SkillsBench, GDPVal, and QwenClawBench.
Updates are listed through 2026-09-02 with the repo last updated 2026-08-26 and not archived, indicating active development.
The README explains concepts, results, and integrations well, but the install command is unknown and setup steps are not visible in the excerpt.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Open repositoryPROJECT TOPICS
VALIDATION LADDER
FAQ
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
SkillCorpus has 202 stars and 37 forks on GitHub, last updated 2026-08-26.
SkillCorpus is distributed under the Apache-2.0 license.
SkillCorpus is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-skills、skill-md、skill-routing、agent-memory、benchmark、embeddings、long-term-memory、semantic-search、vector-search。