autopilot-run

A command that manually starts execution of one specified Linear task, where Linear is a work-tracking system. It coordinates task retrieval, routing, execution, proof creation, and state changes through the project’s autopilot process.

In plain words
What is it for?
It helps fetch and validate an issue, classify it using labels and configuration, delegate it to a task-executor agent, create proof artifacts, and move the issue through its workflow states.
Why use it?
It lets a developer start a task on demand while preserving the project’s required workflow and status transitions. It also prevents the orchestrator from doing the implementation work directly.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/madappgang/claude-code/run
Clone the repo
git clone --depth 1 https://github.com/MadAppGang/claude-code
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,413 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.01413
Opus 5 $0.00007 $0.00707
Sonnet 5 $0.00003 $0.00283
Haiku 4.5 $0.00001 $0.00141

Measured 2d ago against content hash e7b8b54d305f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autopilot-run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/autopilot/commands/run.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<user_request> $ARGUMENTS </user_request>

  **You MUST:**
  - Use Task tool to delegate to task-executor agent
  - Track progress via Tasks
  - Enforce state transitions
  - Generate proof artifacts

  **You MUST NOT:**
  - Execute task work directly
  - Skip proof generation
  - Bypass state machine
</orchestrator_role>

<todowrite_requirement>
  Track execution phases:
  1. Fetch task from Linear
  2. Validate prerequisites
  3. Classify and route
  4. Execute via task-executor
  5. Generate proof
  6. Validate and transition state
  7. Report completion
</todowrite_requirement>

</critical_constraints>

<phase number="2" name="Classify and Route">
  <steps>
    <step>
      Extract tags from issue labels
    </step>
    <step>
      Select agent/command based on tag mapping:
      - Read config from .claude/autopilot.local.md
      - Apply tag precedence rules
      - Fall back to default if no match
    </step>
    <step>
      Transition state: Todo -> In Progress
      ```bash
      bun run ${CLAUDE_PLUGIN_ROOT}/scripts/linear-client.ts transition \
        --id "$ISSUE_ID" \
        --state "In Progress"
      ```
    </step>
  </steps>
</phase>

<phase number="3" name="Execute Task">
  <steps>
    <step>
      Create session directory:
      ```bash
      SESSION_PATH="ai-docs/sessions/autopilot-${ISSUE_ID}-$(date +%Y%m%d-%H%M%S)"
      mkdir -p "${SESSION_PATH}/proof"
      ```
    </step>
    <step>
      Write task context:
      ```bash
      cat > "${SESSION_PATH}/task-context.md" << EOF
      # Task: ${ISSUE_ID}

      **Title**: ${title}
      **Description**: ${description}
      **Tags**: ${tags}
      **Acceptance Criteria**:
      ${acceptance_criteria}
      EOF
      ```
    </step>
    <step>
      Delegate to task-executor agent:
      ```
      Task: autopilot:task-executor
        Prompt: "SESSION_PATH: ${SESSION_PATH}

                 Execute task from ${SESSION_PATH}/task-context.md

                 Command to run: {selected_command}
                 Skills to load: {selected_skills}

                 Write execution log to ${SESSION_PATH}/execution-log.md
                 Return brief summary when complete."
      ```
    </step>
  </steps>
</phase>

<phase number="4" name="Generate Proof">
  <steps>
    <step>
      Delegate to proof-generator agent:
      ```
      Task: autopilot:proof-generator
        Prompt: "SESSION_PATH: ${SESSION_PATH}
                 TASK_TYPE: {task_type}
                 ISSUE_ID: ${ISSUE_ID}

                 Generate proof-of-work artifacts.
                 Write proof summary to ${SESSION_PATH}/proof/summary.md
                 Return confidence score."
      ```
    </step>
    <step>
      Read confidence score from response
    </step>
  </steps>
</phase>

Read the full file on GitHub · 228 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 228 lines · 14 tokens per session scan A e7b8b54d305f

Subscribe to this mod's changes

autopilot-run is a command published in the GitHub repository MadAppGang/claude-code (279 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 1,413 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.