conc-anal
conc-anal is a Design patterns & component architecture skill for AI agents, published by goodboy in the tractor repository on GitHub. Skillspace rates conc-anal F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Concurrency analysis for tractor's trio-based async primitives. Trace task scheduling across checkpoint boundaries, identify race windows in shared mutable state, and verify synchronization correctness. Invoke on code segments the user points at, OR proactively when reviewing/writing concurrent cache, lock, or multi-task acm code.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 310
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
- 73 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.