
Verification Before Completion
Use when about to claim work is complete, fixed, passing, verified, release-ready, or...
Install
npx skills add GanyuanRan/Aegis --skill verification-before-completion -g -a claude-code -y- Repository
- GanyuanRan/Aegis1.4k
- Category
- Git and review
- Updated
- 10d ago
- License
- MIT
- Context cost
- Mediumabout 2,194 tokens
- Runs scripts
- No, instructions only
What it does
Use when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.
Execute
Before success claim: classify destructive permission; read sufficient current evidence and run a fresh falsifying check when it is missing or invalidated; read the complete result/scope; select L0/L1/L2. Downgrade for partial, stale, failing, or narrower evidence; never claim complete then verify later.
This pack grants no GateDecision, PolicySnapshot, evidence sufficiency,
requirement acceptance, or completion authority.
Stop Signals
- evidence is uncertain, stale, agent-only, or narrower than the claim;
- next action: commit, push, PR, merge, tag, publish, release, or handoff;
- task/slice completion is treated as accepted requirement satisfaction;
- governance or retirement lacks repair/retirement evidence;
- retained old logic lacks a retention reason and retirement trigger; or
- complexity closure is unresolved.
Destructive/irreversible work needs scoped permission; broad assent is not scoped permission.
Required Evidence Slots
For changed interface/interaction claims, compose ui-ux-governance verification;
carry results and uncovered user criteria here, keeping one closeout owner.
- Evidence action / check performed:
- Result / exit status:
- Covered scope:
- Uncovered scope:
- Residual risk:
- Confidence grade: A | B | C
A: target + regression; no meaningful unknown.B: target evidence; bounded residual risk.C: partial only; no full-completion claim.
For repairs/optimization, distinguish cause, closure and verified outcome. Check interactions and preserved behavior; investigate consequential unknowns.

