zeus-research-methodology
zeus-research-methodology is a Root-cause investigation skill for AI agents, published by ZeusLN in the zeus repository on GitHub. Skillspace rates zeus-research-methodology D (64/100) and it passed the safety scan; the rating is based on static analysis only.
The discipline that turns a hunch into an accepted change in Zeus — or a documented retirement. Load BEFORE proposing a fix for a bug whose cause you have not proven, designing an experiment or feature rollout, deciding whether a hypothesis is confirmed, promoting an experimental setting to default, deprecating/removing a flag or feature, or deciding when to abandon an investigation. Triggers/symptoms - "I think the cause is X", "should this be behind a flag", "can we make this the default now", "is this feature dead, can I delete it", "how do I prove this fix works", "my fix works on my machine", "when do I give up on this bug", "where do Zeus features come from", "hypothesis", "experiment", "root cause", "retire this setting".
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,396
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 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
- 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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