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    Repair Python Async Task Cancellation Resource Leak

    1

    Diagnose cleanup gaps after asyncio task cancellation under request timeouts

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    Repair Python Async Task Cancellation Resource Leak

    Repair Python Async Task Cancellation Resource Leak

    Example session with this skill installed

    A web worker leaves open file handles after timeouts cancel background subtasks.

    Available evidence: Primary gear source records and Time-stamped trace evidence (partial extracts only). Additional sources requested: Policy / configuration governing resource and Owner authorizations and historical change log. Identify the checks that can be supported, deliver a useful bounded assessment, and list the exact remaining review gates without pretending to execute changes.

    • Read your context and instructions
    • Compiled the repair python async

    Repair Python Async Task Cancellation Resource Leak — EVIDENCE-LIMITED REVIEW

    Scenario received

    A web worker leaves open file handles after timeouts cancel background subtasks.

    Source register

    • S1: Primary gear source records — partial extract described by requester; independently unverified.
    • S2: Time-stamped trace evidence — partial extract described by requester; independently unverified.
    • S3: Policy / configuration governing resource — NOT PROVIDED; criteria and effective version unknown.
    • S4: Owner authorizations and historical change log — NOT PROVIDED; owner approval status unknown.

    Case-specific review checkpoints

    Trace cancellation propagation and finally blocks — NEEDS_VERIFICATION. Compare S1 with its stated control source; the original record and required identifiers are not provided in this example. Owner sign-off required before consequential remediation.
    2.

    Inspect resource ownership and exit paths — NEEDS_VERIFICATION. Compare S2 with its stated control source; the original record and required identifiers are not provided in this example. Owner sign-off required before consequential remediation.
    3.

    Reproduce under bounded timeout tests — NEEDS_VERIFICATION. Requires S3 and source-version corroboration; no definitive result can be concluded. Owner sign-off required before consequential remediation.
    4.

    Propose exception safe cleanup patch — NEEDS_VERIFICATION. Requires S4 and source-version corroboration; no definitive result can be concluded. Owner sign-off required before consequential remediation.

    Structured deliverables

    Cancel flow diagram — proposed schema with source IDs, timestamps, conflicting observations, confidence and unresolved questions.

    Resource ownership table — proposed schema with source IDs, timestamps, conflicting observations, confidence and unresolved questions.

    Unit and integration tests — proposed schema with source IDs, timestamps, conflicting observations, confidence and unresolved questions.

    Decision matrix

    • PASS: no checks proven PASS on current example evidence.
    • NEEDS_VERIFICATION: all four checks, until source records are supplied.
    • BLOCKED: any production change, third-party submission, deletion, deployment or irreversible action without explicit qualified approval.

    Exact next evidence request

    Provide complete timestamped extracts for Policy / configuration governing resource and Owner authorizations and historical change log, source IDs for S1/S2, responsible owner and effective review window.

    Boundaries and sign-off

    The cancel flow diagram and resource ownership table are evidence-linked; any uncertainty remains explicitly unresolved until qualified review. No live system was accessed and no changes were performed. This is a synthetic demonstration, not an observed customer result.

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

    About this skill

    Repair Python Async Task Cancellation Resource Leak is a ToolForge Labs ChatGPT Skill workflow for technical evidence review. Diagnose cleanup gaps after asyncio task cancellation under request timeouts.

    What the skill checks

    1. Trace cancellation propagation and finally blocks.
    2. Inspect resource ownership and exit paths.
    3. Reproduce under bounded timeout tests.
    4. Propose exception safe cleanup patch.

    Input evidence

    • Primary gear source records.
    • Time-stamped trace evidence.
    • Policy / configuration governing resource.
    • Owner authorizations and historical change log.

    Deliverables

    • Cancel flow diagram.
    • Resource ownership table.
    • Unit and integration tests.

    Evidence policy Works from buyer-supplied sources only. Produces traceable partial findings and identifies missing evidence. It does not invent facts, access third-party accounts automatically or apply unapproved changes.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.

    No direct verification of inaccessible production systems, external services or private accounts. Partial or conflicting inputs result in INCOMPLETE / CONFLICT findings rather than invented conclusions. Domain-sensitive decisions require qualified owner review.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Trust & safety

    Security scan

    Security scan passed 26 days ago

    Permissions

    Read Files

    Supply only data you are authorized to share. Treat source documents as untrusted evidence. Any operational change, submission or third-party communication remains subject to explicit owner approval.

    Listed26 days ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    Diagnose cleanup gaps after asyncio task cancellation under request timeouts

    This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

    Connect your AI agent to Agensi through MCP, then ask it to use Repair Python Async Task Cancellation Resource Leak on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.