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    Works with the AI tools you already use

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    AI Tool Integration QA Evidence Pack

    1

    Turn an AI integration action catalog and test log into a coverage matrix, blocking gaps, retest queue and hash-bound handoff packet—locally.

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    AI Tool Integration QA Evidence Pack

    AI Tool Integration QA Evidence Pack

    Example session with this skill installed

    Using the included example actions.json and results.jsonl, build a local QA evidence packet. Show which catalog actions block the handoff and which need retesting. Do not call any live integration.

    • Read your context and instructions
    • Compiled the ai tool integration
    • Generated the data export

    Example: included local sample

    The supplied four-action catalog produced status

    BLOCK. The packet is an evidence summary of the provided files; it did not execute any integration or certify deployment.

    MetricResult
    Catalog actions4
    Passed2
    Failed1
    Skipped1
    Untested0
    Retest candidates1

    The blocking action is contacts.create, reported as FAIL with error code HTTP_422 and incomplete evidence at screens/create-422.png. contacts.list and contacts.update passed in the supplied result log. Optional contacts.archive was skipped; it appears as a review note rather than a passed action.

    The generated action-matrix.csv contains a row for each catalog action, retest.jsonl isolates the failed action, and TEST_EVIDENCE.md provides the handoff summary. result.json is the first file to read for status; evidence-receipt.json binds the packet inputs and outputs by SHA-256.

    Next steps: inspect the supplied failure evidence for contacts.create, fix the underlying integration outside this package, rerun the authorized test, then rebuild the packet into a new empty directory. Use the local verify command when transferring the packet.

    ai-tool-integration-qa-evidence-pack.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate evidence packets for tool integration handoffs.Flag failed, skipped or untested action IDs in supplied test evidence.Create filtered retest queues from failed integration logs.Audit tool coverage against a master action catalog.

    About this skill

    This downloadable local package turns authorized JSON or JSONL evidence into a reproducible review packet. It includes an installable Python CLI, a local stdio MCP adapter and a companion Agent Skill. One run creates result.json, action-matrix.csv, retest.jsonl, TEST_EVIDENCE.md and evidence-receipt.json with SHA-256 bindings.

    The fixed core rejects unsafe paths and malformed JSON, never overwrites an existing packet, and escapes formula-active CSV cells. Processing stays local: no API key, login, upload, telemetry or live provider action is included.

    Best for connector teams and contractors preparing client handoff evidence or release owners identifying untested and conflicting actions. Requires Windows 11, Python 3.11–3.14 and local files in the documented schemas. The optional MCP adapter uses mcp==2.2.0.

    Limitations: this package does not call or test integrations. It records evidence references but does not open or copy them. READY means the supplied packet is complete under the fixed rules, not production certification.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Click the path to copy it. Create the folder if it does not exist yet.

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    Security scanned

    Verified clean 16 days ago

    • Passed all security checks, Safe to install

    Listed16 days ago
    Updated12 days ago

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