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goal-agent

by @theashbhat

Scaffold a self-learning goal-oriented agent. Set a goal, define a metric, and the agent iterates toward it — measuring, learning, and adapting its strategy...

Versionv1.1.0
Downloads1,020
TERMINAL
clawhub install goal-agent

📖 About This Skill


name: goal-agent description: > Scaffold a self-learning goal-oriented agent. Set a goal, define a metric, and the agent iterates toward it — measuring, learning, and adapting its strategy at every heartbeat until the goal is met.

goal-agent

Overview

The goal-agent skill creates a workspace that turns an OpenClaw agent into a focused, autonomous optimizer. You give it a goal and a shell command that measures progress — the agent does the rest, iterating heartbeat by heartbeat, learning what works and what doesn't.


Usage

Step 1: Collect inputs

| Input | Flag | Required | Default | |-------|------|----------|---------| | Goal description | --goal | ✅ | — | | Metric command (returns a number) | --metric | ✅ | — | | Target value | --target | ✅ | — | | Direction (up/down) | --direction | ❌ | up | | Safety constraints | --constraints | ❌ | None | | Max iterations | --max-iterations | ❌ | 50 | | Output directory | --output-dir | ❌ | ./ |

Step 2: Run scaffold.sh

bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
  --goal "Increase daily active users to 100" \
  --metric "cat /tmp/my-metric.json | jq '.dau'" \
  --target 100 \
  --direction up \
  --constraints "Do not modify the database schema. Stay within $50/day budget." \
  --max-iterations 30 \
  --output-dir ~/clawd/goals/dau-growth

This generates the following files in --output-dir:

  • GOAL.md — goal definition, iteration counter, history table
  • STRATEGY.md — current approach, hypotheses, next action
  • LEARNINGS.md — rules extracted from experience
  • HEARTBEAT.md — the feedback loop instructions (replaces main HEARTBEAT.md)
  • evaluate.sh — runnable metric evaluator
  • Step 3: Activate the feedback loop

    The generated HEARTBEAT.md is the goal-agent loop. Each heartbeat, the agent: 1. Measures the metric 2. Compares against target and history 3. Reflects on what worked/didn't 4. Decides the next action 5. Acts 6. Records results 7. Adapts strategy

    To activate: Copy HEARTBEAT.md to ~/clawd/HEARTBEAT.md (or symlink it):

    cp ~/clawd/goals/dau-growth/HEARTBEAT.md ~/clawd/HEARTBEAT.md
    

    Step 4: Deploy options

    Option A — Current agent (fastest) Copy all generated files into your workspace and activate HEARTBEAT.md as above.

    Option B — Dedicated VM (cleanest) Use the spawn-agent skill to create a fresh agent VM, then copy the goal workspace there:

    # On the new agent
    scp -r ~/clawd/goals/dau-growth/ ubuntu@new-agent:~/clawd/goals/
    ssh ubuntu@new-agent "cp ~/clawd/goals/dau-growth/HEARTBEAT.md ~/clawd/HEARTBEAT.md"
    


    Examples

    Example 1: Optimize test coverage

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Increase test coverage to 80%" \
      --metric "cd ~/myproject && npx jest --coverage --coverageReporters=text-summary 2>/dev/null | grep 'Statements' | grep -oP '\d+\.\d+(?=%)'" \
      --target 80 \
      --direction up \
      --max-iterations 20 \
      --output-dir ~/clawd/goals/test-coverage
    

    Example 2: Reduce build time

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Reduce build time to under 30 seconds" \
      --metric "cd ~/myproject && time npm run build 2>&1 | grep real | grep -oP '\d+\.\d+'" \
      --target 30 \
      --direction down \
      --constraints "Do not remove any build steps. Do not break production builds." \
      --output-dir ~/clawd/goals/build-speed
    

    Example 3: Grow social followers

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Reach 500 Twitter followers" \
      --metric "~/.openclaw/scripts/twitter-follower-count.sh" \
      --target 500 \
      --direction up \
      --constraints "Only post authentic content. No follow-for-follow schemes." \
      --output-dir ~/clawd/goals/twitter-growth
    


    Safety & Sandboxing

    Before activating a goal-agent loop, review these guidelines:

  • Review generated files before activating. Always read the generated HEARTBEAT.md and evaluate.sh before copying them into your workspace. Confirm the metric command and constraints are what you intended.
  • Use --constraints to limit scope. The agent will only take actions within the constraints you define. Be explicit: "Only modify files in ~/myproject/src", "Do not make network requests", "Do not delete files".
  • Set a low --max-iterations for first runs. Start with 5-10 to observe behavior before allowing longer runs.
  • Prefer dedicated VMs for autonomous goals. Use spawn-agent to isolate goal-agents from your main workspace. This limits blast radius if the agent takes unexpected actions.
  • Metric commands should be read-only. The --metric command should only *measure* — never modify state. Use simple commands like cat, wc, jq, grep.
  • The "Act" step is constrained by text, not code. The agent follows the constraints you set in --constraints, but there is no programmatic sandbox. For high-stakes goals, combine with filesystem permissions, network egress controls, or a restricted user account.
  • Monitor early iterations. Check GOAL.md history after the first few heartbeats to verify the agent is behaving as expected.

  • How it works

    The HEARTBEAT.md implements a tight cognitive loop:

    Measure → Compare → Reflect → Decide → Act → Record → Adapt
        ↑___________________________________________________|
    

    Each iteration, the agent reads its own history (GOAL.md), its current understanding (STRATEGY.md), and accumulated wisdom (LEARNINGS.md) before taking action. Over time it builds a library of what works for your specific goal.


    Files reference

    | File | Purpose | Agent modifies? | |------|---------|----------------| | GOAL.md | Source of truth: goal, metric, target, history | Status + History only | | STRATEGY.md | Current plan, hypotheses, next action | Yes (every iteration) | | LEARNINGS.md | Extracted rules and patterns | Yes (as it learns) | | HEARTBEAT.md | Loop instructions | No | | evaluate.sh | Runnable metric command | No |


    Skill location

    ~/clawd/skills/goal-agent/

    💡 Examples

    Example 1: Optimize test coverage

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Increase test coverage to 80%" \
      --metric "cd ~/myproject && npx jest --coverage --coverageReporters=text-summary 2>/dev/null | grep 'Statements' | grep -oP '\d+\.\d+(?=%)'" \
      --target 80 \
      --direction up \
      --max-iterations 20 \
      --output-dir ~/clawd/goals/test-coverage
    

    Example 2: Reduce build time

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Reduce build time to under 30 seconds" \
      --metric "cd ~/myproject && time npm run build 2>&1 | grep real | grep -oP '\d+\.\d+'" \
      --target 30 \
      --direction down \
      --constraints "Do not remove any build steps. Do not break production builds." \
      --output-dir ~/clawd/goals/build-speed
    

    Example 3: Grow social followers

    bash ~/clawd/skills/goal-agent/scripts/scaffold.sh \
      --goal "Reach 500 Twitter followers" \
      --metric "~/.openclaw/scripts/twitter-follower-count.sh" \
      --target 500 \
      --direction up \
      --constraints "Only post authentic content. No follow-for-follow schemes." \
      --output-dir ~/clawd/goals/twitter-growth