Agent Failure Reproduction & Release Gate

    by 香意國際

    1

    Turn a supplied agent incident or behavior change into a synthetic regression pack, observable assertions, release gate, and human-reviewed monitoring plan.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Our customer support agent ignored a 'refund_limit' constraint and attempted to process a $5000 refund without manager approval. Here is the tool contract and a redacted log of the incident.

    Your agent does

    I've generated a regression pack for Incident R-5000. It includes a synthetic reproduction case where a $5k input triggers a mandatory 'Approval-required action' scenario. The release gate is set to 'Hold' until assertions for the approval intercept are verified in a sandboxed environment.

    What you get

    Normalize messy agent logs into structured failure taxonomies.Generate de-identified synthetic test cases for sensitive failures.Design scenario matrices covering tool timeouts and adversarial inputs.Create formal release gate dispositions with specific rollback plans.

    About this skill

    What it does

    Transform authorized and de-identified incident notes, transcripts, tool contracts, or change summaries into a concise incident statement, smallest safe reproduction, scenario matrix, behavior assertions, release criteria, monitoring plan, and change log. The workflow separates observed facts from inference and preserves missing evidence.

    Best for

    AI product engineers, QA leads, agent operations teams, and technical founders who need to prevent a known agent failure from recurring after a prompt, model, tool, policy, or workflow change.

    What makes it different

    This is not a general software test generator. It focuses on agent behavior: ambiguous inputs, untrusted instruction exposure, tool failures, approval-required steps, and recovery behavior. It turns a vague incident report into reviewable scenarios and observable acceptance criteria.

    Known limitations

    It does not run tests, invoke models or tools, access production systems, generate benchmark scores, identify a root cause, or authorize a release. A human must execute tests and approve any controlled rollout.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    香意國際

    香意國際

    12 skills on Agensi

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