keel-pilot
SolidStaged bulk-run gate — before any mass-output job (labeling, generation, migration) enforce, in order, declare thresholds → smoke sample → gold-set validation → progressive ramp with halt conditions → acceptance sample. No full run on an unvalidated pipeline.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- muratsilahtaroglu
- Repository
- muratsilahtaroglu/claude-code-starter-kit
- Created
- 2 weeks ago
- Last Updated
- 2 days ago
- Language
- Shell
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
keel-autopilot
Gated autonomy for one session — advance phases back-to-back with the full /keel-phase-review run at every gate, auto-commit at phase ends, batch pushes for ONE approval. Stops on gate FAIL, UNCERTAIN decisions, architecture surprises, or security-adjacent changes. Push is never automatic.
ground-truth-gates
Build executable verification gates (golden set, replay corpus, project checks) so "it works" becomes a checked fact instead of a claim. Load when changing any LLM-judgment step (classify/extract/route/prompt), refactoring logic that processes real logged data, designing tests for a fix, setting up a commit/ship gate for a project, designing a runtime guard (a hook, validator, or auth check) and its fail direction, or when you are about to trust a passing test that has never been shown able to fail. Also the reference for what "proof gate" means in delegation-and-review packets. Do NOT load for one-off scripts or exploratory spikes — plain operational-rigor covers those.
regression-gatekeeper
Iterate-stage skill: gates any prompt or model change behind a golden-set regression run — the run happens and its results are shown before any ship verdict exists. Use when a change wants to ship — 'we tweaked the prompt, safe to ship?', 'regression plan before the model swap', 'gate this change', 'what has to run before this goes out' — or when /pm routes such a request here. Do NOT use to decide whether an upgrade is worth pursuing (model-upgrade-evaluator), to build the golden set (golden-dataset-builder), for post-incident capture (failure-to-eval-capture), or for regression-testing definitions.