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System Change Verification & Post-Change Evidence Review
System Change Verification & Post-Change Evidence Review is a bounded ToolForge Labs workflow.
$8.99
System Change Verification & Post-Change Evidence Review
Example session with this skill installed
We are changing a shared authentication policy across several services. The implementation plan exists, but the verification section is mostly 'watch dashboards'. Review what evidence is required before calling the change complete.
- Read your context and instructions
- Compiled the system change verification
The likely issue is a contract or lifecycle mismatch around system change verification, preconditions, expected effects, post-change evidence, regression signals, rollback triggers, monitoring, ownership, and closeout. I would first state the invariant: A system change is verified only when intended effects and protected invariants are checked with explicit evidence, failure thresholds, and rollback ownership rather than inferred from absence of alerts. Then I would map VERIFIED evidence against the owning boundary, keep LIKELY/UNKNOWN state explicit, apply or propose the narrowest repair, and add deterministic normal, boundary, interruption, retry/cancellation, and recovery tests. With repository/workspace access, findings can map to exact paths and focused local validation; with partial evidence, the result remains a bounded evidence map with no invented execution claims.
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What you get
About this skill
System Change Verification & Post-Change Evidence Review is a bounded ToolForge Labs workflow. Diagnose, review, and repair system change verification, preconditions, expected effects, post-change evidence, regression signals, rollback triggers, monitoring, ownership, and closeout. Works from repositories/workspaces or partial supplied evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving authorization, security, public interfaces, user-visible behavior, and documented ownership, and never invents executed work. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, sample data, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.
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Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
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- 2
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- 3
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