cannbot-skill-reviewer

What problem does it solve? Teams contributing new Skills to the CANNBot Skills repository need a consistent, evidence-based review process that enforces structural gates, quality standards, and safety boundaries before a SKILL.md can be merged. ## Core Features & Use Cases - Automated Gate Checks: Runs review_skill.py or falls back to skill_validator.py to enforce statutory rules such as frontmatter validity, name-directory consistency, and kebab-case naming. - Nine-Dimension Quality Scoring: Scores frontmatter quality, workflow clarity, edge-case coverage, checkpoints, instruction specificity, resource integration, architecture fit, trust boundaries, and verification evidence, producing PASS, CONDITIONAL, or REJECT verdicts. - Use Case: A contributor opens a GitCode PR adding ops/pypto-op-plan/SKILL.md. The reviewer runs the gate script, cross-checks the case-law rubric, and returns a structured report with blocking findings, per-dimension scores, and a minimal fix list. ## Quick Start Ask the assistant to review the new skill at ops/my-new-skill/SKILL.md and report whether it is ready to submit as a PR.