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Optimize AI Agent Evaluations: Collect and Inspect Worker Results

Optimize AI Agent Evaluations: Collect and Inspect Worker Results

Regular price £8.99
Regular price £8.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
Optimize AI Agent Evaluations: Collect and Inspect Worker Results

Optimize AI Agent Evaluations: Collect and Inspect Worker Results

Regular price £8.99
Regular price £8.99 Sale price
SAVE Sold out

Optimize AI Agent Evaluations: Collect and Inspect Worker Results

This skill assists developers in evaluating the outcome of AI agent tasks by collecting and inspecting the work and evidence returned by stopped workers. It is useful when a worker has completed a job, when records show discrepancies, or when a task shows no visible change despite a green result.

What this skill does

  • Confirms the run identity and verifies that the worker has indeed stopped. It ensures that only the assigned result is collected and competing ownership is resolved before any state changes occur.
  • Accesses the worker report, analyzing any blockers mentioned, and inspects the returned files, including the base, tip, commits, tracked diff, and untracked files.
  • Reconciles the records to ensure operational checks align before proceeding with acceptance, retry, or escalation to an integration owner. This involves verifying the process exit, worker report, commits, patches, and acceptance records.
  • Distinguishes between different events such as worker stoppage, delivery of change, and task satisfaction.

Who it is for

This skill is beneficial for developers and teams who utilize AI coding agents such as Claude Code, Cursor, and Codex. It supports those requiring a systematic approach to evaluate agent outputs and ensure task completion quality.

Use cases

  • Verification of an AI agent's task completion when outcomes appear inconclusive or records disagree.
  • Situations requiring dispute resolution regarding shared state or resource ownership within a team.
  • Ensuring consistency and integrity of changes before merging them into the target system or project state.

Technical details

  • Incorporates agent-evaluation and aiapplication tools for thorough analysis of worker results.
  • Employs collecting-worker-results capability to streamline the gathering and inspection process.

Source & Licence

This package is built on open-source work published by Grit-77 (Grit-77/done-is-a-claim) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Reviews

Trusted by Developers & Marketers

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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