Individual skill
gentle-ai-rdd-defect-workflow
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
skills/rdd-defect-workflow/SKILL.md
Source commit 9fe14aadc1f6c905f7aee93ecb4e724e342cba50
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,014
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-harness Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- ai-coding-agent Repository topic
- code-review Repository topic
- coding-agents Repository topic
- developer-tools Repository topic
- gentle-ai Repository topic
- llm Repository topic
- operations Derived category
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## Activation Contract
Load when the frontmatter trigger terms apply to a defect workflow.
This skill guides public collaboration. It does not grant issue approval, label, review, exception, or merge authority.
## Hard Rules
- Review and Judgment Day evidence is review-only. Pi never mints delivery authority: ordinary commit, push, PR, and release always follow repository policy, regardless of RDD mode.
- Require an approved issue (`status:approved`) and clean current `main` reproduction before implementation. Audit existing PRs for supersession or conflict; stop or narrow stale claims.
- Group by causal authority invariant. Use one issue and one PR or explicit chain per independent invariant and rollback boundary. Split independent causes; never merge a superseded or conflicting authority line.
- Inventory every operator flow claimed by the issue or PR, including entry, mode, environment, expectation, and negative controls. Require one truthful black-box bench journey per CLI or lifecycle flow, or actual runtime E2E proof when the core bench cannot represent it. Synthetic proxy coverage never proves another runtime.
- Use CodeGraph-first impact mapping, a dedicated worktree, and behavior-first tests. Run source-mutating normalization before candidate freeze.
- Forecast authored changes before edits. The hard limit is 400 additions plus deletions; above it, STOP for a chain or explicit maintainer-approved exception.