agent-output-reconciler

Solid

Use when multiple agent results must be checked for missing evidence, scope drift, contradictions, and merge conflicts before an acceptance decision.

AI & Automation 26 stars 6 forks Updated 6 days ago MIT

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Quality Score: 82/100

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Description 5%
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Skill Content

# agent-output-reconciler Reconcile completed task results into one evidence-based report. This skill describes what happened and what conflicts remain. It does not accept work, merge changes, retry tasks, or write canonical memory. ## Inputs - the current plan and its task IDs, roles, scopes, dependencies, and success criteria; - each task packet, result summary, structured result, and raw-log path; - the relevant `TaskCheckpoint` and latest `PolicyDecision`; - repository diff and test evidence. Current plans use provider-neutral roles: `primary-agent`, `delegated-executor`, `reviewer`, and `synthesizer`. Historical provider fields may be parsed for migration only and must not influence current routing. ## Workflow 1. Validate the plan and checkpoint. If either is unreadable, stop and report a blocker. Do not infer missing policy values. 2. Inventory every planned task. Preserve `null`, missing, cancelled, declined, degraded, and failed results as distinct states. 3. Filter unusable payloads before synthesis, while retaining a record of what was filtered and why. Never turn a completed prose result into `null` merely because an optional structured-output step failed. 4. Compare actual changed files with each task's declared scope. Record justified transitive changes separately from unexplained drift. 5. Verify claimed tests and artifacts from their evidence references. A result without evidence remains unverified even if its prose says "success". 6....

Details

Author
WenyuChiou
Repository
WenyuChiou/agent-collab-skills
Created
4 months ago
Last Updated
6 days ago
Language
Python
License
MIT

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