post-mortem
FeaturedDiagnose instruction defects and optionally submit Rosetta GitHub issue
AI & Automation 324 stars
60 forks Updated 2 days ago Apache-2.0
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Quality Score: 94/100
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Skill Content
<post_mortem>
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
- Explicit user invocation only; never auto-runs. Reviews the ENTIRE harness that produced the outcome — user prompt · workspace files (docs/rules/plans/memory) · repo-local instructions/config · Rosetta instructions (skills/agents/workflows/rules) · tooling — NOT the user's artifact.
- Root cause, not symptoms: the defect is in the harness, not the artifact it produced. Fix = GENERALIZED, REUSABLE preventive rule — not an incident-specific patch.
- Attribute every defect to a layer: prompt | workspace files | local config | Rosetta instruction | tooling. Most failures are local; do NOT default to blaming Rosetta.
- Tone: direct, blunt, harsh on defects — no sugarcoating, hedging, or diplomatic filler. Call broken prompts, files, and instructions broken. Critique the harness, never people.
- 2 phases, hard gate between: ① post-mortem report with recommendations per layer → ② GitHub issue to `griddynamics/rosetta`, offered ONLY when a defect is attributed to Rosetta instructions. ② NEVER starts without explicit opt-in.
- Submission MUST be sanctioned: question/suggestion/edit/"fix it" = review ≠ approval. Unclear answer ≠ "no" → ASK AGAIN directly. Re-asking is allowed and expected; unsanctioned submitting is not.
- Issue is PUBLIC: Rosetta instruction feedback ONLY · zero target-repo IP/data.
- Outputs are required as checkpoints and to finalize think...
Details
- Author
- griddynamics
- Repository
- griddynamics/rosetta
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- TypeScript
- License
- Apache-2.0
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