verification-before-completion

Featured

Use when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.

Code & Development 817 stars 39 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 91/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Execute → About to claim "done", "passing", "fixed", "complete", "verified", "release-ready", or "ready to hand off"? → **Verify first, then claim only what the evidence supports.** 1. Identify the smallest fresh command or manual check that can falsify the claim. 2. Run or perform it completely. 3. Read output, exit status, failures, and covered scope. 4. Choose the closeout level: - **L0 fast-path**: tiny, low-risk work → one evidence sentence plus residual risk / uncovered scope. - **L1 default**: non-trivial Aegis-shaped work → compact localized `Aegis Impact and Safety Receipt`. - **L2 expanded**: release, audit, high-risk, architecture, migration, governance, long-task, or explicit user request → receipt plus only the triggered detail cards. 5. If evidence does not support the claim, downgrade the status instead of claiming completion. Done means: fresh verification evidence exists, covered and uncovered scope are explicit, residual risk is stated, confidence is graded, and any triggered baseline / complexity / retirement / ADR boundary has been folded into the single closeout surface or expanded because the risk requires it. # Verification Before Completion ## Purpose Prevent unsupported completion claims while keeping ordinary completion output compact. This workflow is advisory method-pack discipline; it does not grant runtime authority, authoritative `GateDecision`, `PolicySnapshot`, evidence sufficiency, or final completio...

Details

Author
GanyuanRan
Repository
GanyuanRan/Aegis
Created
2 months ago
Last Updated
yesterday
Language
Shell
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category