hindsight-docs
hindsight-docs is a Session review & learning skill for AI agents, published by vectorize-io in the hindsight repository on GitHub. Skillspace rates hindsight-docs C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 18,440
Placed #5 of 6 in the judged category final for Session review & learning.
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documentation for Hindsight, a public product, from its repo
Judge review
Placed #5 of 6 in the judged category final for Session review & learning.
- Trigger
72 72 - Instructions
78 78 - Specificity
75 75 - Safety
95 95 - Disclosure
92 92 - Maintenance
88 88
Textbook progressive-disclosure documentation index with real regeneration tooling, though it's product docs rather than a task workflow.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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