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Manifest executor. Works through Deliverables verifying every Acceptance Criterion and Global Invariant. Use when executing a manifest, running a plan, implementing a defined task, or when the user asks to run, execute, implement, or ship a manifest-backed plan.

AI & Automation 73 stars 10 forks Updated 3 days ago MIT

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Quality Score: 87/100

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Description 5%
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Skill Content

## Execution ### What binds the run Work toward the manifest's Deliverables in the order listed. Acceptance Criteria and Global Invariants are the binding layer — they are what the run owes, and gates are the only thing that can hold it open. Process Guidance is advisory: recommendations on how to work, weighed rather than enforced, and set aside when the work is better for it — name every departure on whichever terminal path the run takes — completion summary, escalation payload, or pending summary — and in the execution log too when a log is being kept, since advisory only stays safe while departing stays visible. The Initial Approach and the Deliverable order are likewise plan, not contract: pivot either when reality diverges, and name the deviation the same way a departure is named. Resequence when execution changes what the order was built on — a real dependency the order missed, or a shift in which Deliverable is now least proven, since proving the leading approach is exactly what ordering by uncertainty is for. ### Running gate evaluations Resolve execution policy before implementation starts. `--verification` accepts `per-gate`, `consolidated`, or `self` and defaults to `per-gate`; after resolving that default, load exactly one matching reference: `references/per-gate-verification.md`, `references/consolidated-verification.md`, or `references/self-verification.md`. The selected reference owns evaluator topology, verifier-model validation and inheritance, evaluator...

Details

Author
doodledood
Repository
doodledood/manifest-dev
Created
7 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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