history-compression
history-compression is an LLM evaluation & observability skill for AI agents, published by stagewise-io in the stagewise repository on GitHub. Skillspace rates history-compression D (59/100) and it passed the safety scan; the rating is based on static analysis only.
How stagewise's agent history compression pipeline works — boundary selection, recency bias, chained compressions, and the SQLite-backed test harness for replaying real compressions in LLM playgrounds. Use when debugging, tuning, or extending history compression, when investigating context-window overflow, or when the user wants to probe compression quality against real chat histories.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 6,731
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
- Low-risk patterns
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Describes stagewise's own pipeline with repo-root-relative file paths
What the scanner flagged
- mentions secrets in text
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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