audithub-orca-smoke-run-debugger
audithub-orca-smoke-run-debugger is an Integration & environment testing skill for AI agents, published by Veridise in the audithub-skills repository on GitHub. Skillspace rates audithub-orca-smoke-run-debugger D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Create dummy OrCa specs, perform or inspect short initial OrCa smoke runs, and debug setup failures. Use when a campaign needs the universal dummy spec, a first 1-2 minute run, diagnosis of failed local deployment scripts, diagnosis of malformed on-chain deployment JSON, or run-ledger updates for early OrCa attempts.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 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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