research-card-pipeline
research-card-pipeline is an Agent behaviour & coding discipline skill for AI agents, published by xiaolai in the no-one-did-it repository on GitHub. Skillspace rates research-card-pipeline D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrate the seven-stage pipeline that turns a (source, claim) pair into a verified, queryable, accumulating research card. Wires the existing source-ledger-discipline, citation-hygiene, evidence-grading, and case-file-method skills into a single operating procedure with Layer A (mechanical), Layer B (Stephen-led), and Layer C (specialist) verification.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 81
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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