scaffold-doctor
scaffold-doctor is an Agent, team & workflow authoring skill for AI agents, published by michellemayes in the meta-doctor repository on GitHub. Skillspace rates scaffold-doctor F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Scaffolds a complete scheduled "doctor" agent directly into the user's repo. The doctor audits app health on a recurring schedule, routes code-fixable findings to an automated repair pipeline that opens pull requests, and files deduped tracker tickets for everything else. A Slack (or equivalent) digest posts after every run, even if remediation fails. Use when a team wants to deploy an autonomous health-auditing agent alongside their application without copying a pre-built engine — the skill generates the engine in the user's chosen stack by following the bundled reference docs.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 29
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.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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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