autocontext
autocontext is an LLM evaluation & observability skill for AI agents, published by greyhaven-ai in the autocontext repository on GitHub. Skillspace rates autocontext B (87/100) and it passed the safety scan; the rating is based on static analysis only.
Use when a Hermes agent needs to evaluate agent behavior, run Autocontext scenarios, inspect Hermes curator state, export reusable knowledge, or prepare local MLX/CUDA training data through the autoctx CLI.
- Grade
- B
- Quality
- 87 / 100
- Safety
- Passed
- GitHub stars
- 1,248
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
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documents the public autoctx CLI from its own repo
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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