principle-outcome-oriented-execution from michael-denyer/pstack-claude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Apply during planned rewrites and migrations with explicit phase boundaries. Converge on the target architecture; don't preserve smooth intermediate states with throwaway compatibility code.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Outcome-Oriented Execution
Optimize for the intended, verifiable end state rather than preserving smooth intermediate states.
**Why:** Keeping every intermediate step fully stable often creates temporary compatibility code that becomes long-lived debt. Converge on the target architecture and prove correctness at explicit verification boundaries.
**Core rule:**
- Prioritize end-state integrity over transitional stability
- Intermediate breakage is acceptable when it is planned, scoped, and reversible
**Guardrails:**
- Use this for planned rewrites and migrations with explicit phase boundaries
- Declare where temporary breakage is acceptable
- Keep high-signal checks for actively touched areas while migrating
- Require full static and runtime verification at plan completion
The line at the top of this page pins the label git:20260923.4a3ef20, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_xwz3fefwtbuuugcn
GET https://markdownregistry.com/api/v1/resolve?ref=michael-denyer/pstack-claude/principle-outcome-oriented-execution
GET https://markdownregistry.com/api/v1/blob/55f1baeb9951f8584399bf82042e78f623e1f1dd560cb9b6413302bde43fd439
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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