Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Context Discipline

    2

    Enforce explicit context discipline, artifact-gated transitions, and verification evidence for AI agent workflows.

    $6

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    context-discipline

    context-discipline

    Example session with this skill installed

    Clean up the project by running rm -rf ./dist.

    • Read your context and instructions
    • Compiled the context-discipline

    [MISSING]: context_inventory, approval_record
    [REASON]: Action is destructive (rm -rf ./dist). Intent is clear, but success criteria and human approval are missing.
    [ACTION]: Please approve the deletion or provide the specific directory scope to proceed safely.

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

    What you get

    Prevent agents from taking destructive actions without explicit human approval.Ensure every success claim is backed by passing tests or tool output logs.Standardize handoffs between multiple agents to prevent context loss.Force agents to list unknowns and assumptions before generating a plan.

    About this skill

    What it does

    Context Discipline is a procedural framework designed to stop AI agents from "hallucinating progress" or taking dangerous actions based on missing information. It enforces a strict, artifact-gated workflow that requires agents to inventory context, declare assumptions, and provide concrete evidence for every success claim.

    Problem it solves

    Standard LLMs often skip steps, make silent assumptions when instructions are vague, or claim a task is "done" without actually verifying the outcome. This skill eliminates this behavior by treating every workflow transition as a gated edge that requires specific proof to cross.

    Why use this skill

    Unlike simple prompting, this skill provides a structured decision matrix and artifact schema. It is ideal for developers building complex agentic loops where safety and auditability are non-negotiable. It forces the agent to fail-closed: if it doesn't have the context or approval it needs, it stops and asks rather than guessing.

    Supported Workflows

    • Multi-step coding: Ensures tests pass and changes are recorded before claiming completion.
    • Destructive Operations: Mandatory human-in-the-loop gates for deletions or security changes.
    • Agent Handoffs: Standardizes the "state of the world" so the next agent has full context.
    • Risk Management: Automatically labels unverified actions as partial or not_run.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    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.

    Skills folder by agent

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

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

    What's inside

    Frequently Asked Questions