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Loop Maker - Skill Setup

Source: EricTechPro/loop-maker Stars: 0 โญ | License: MIT Created: June 24, 2026 Category: Agent Infrastructure / Loop Engineering / Automation Cross-Harness: Claude Code ยท Codex ยท Hermes ยท OpenClaw


1. What It Is

A portable agent skill that interviews you through a 7-question wizard and scaffolds a self-running autonomous loop - complete with separate verifier, state file, stop conditions, and human gate. Works across all major agent harnesses.

Why most loops fail (and how this catches it): 1. โŒ Agent judges its own work โ†’ โœ… Separate verifier built into scaffold 2. โŒ State leaks into the skill file โ†’ โœ… Dedicated STATE.md outside the skill 3. โŒ No stop condition โ†’ โœ… Stop condition wired in before you run


2. Prerequisites

  • Any supported agent harness (Hermes Agent, Claude Code, Codex CLI, or OpenClaw)
  • No additional packages required

3. Installation

git clone https://github.com/EricTechPro/loop-maker.git
cp -r loop-maker ~/.hermes/skills/loop-maker

Verify

ls ~/.hermes/skills/loop-maker/
# Should show: SKILL.md

4. The 7-Question Wizard

When invoked, loop-maker asks these questions one at a time:

# Question What It Catches
1 Goal - What checkable condition means "done for now"? Vague/unfalsifiable goals
2 Trigger - What starts each run? Schedule, event, or run-until-done? Undefined activation
3 Discovery - How does it find the work to do each round? Blind loops with nothing to do
4 Action - What's it allowed to do, and through which tools? Unbounded capabilities
5 Verification - Who checks the result, and against what? Agent self-grading
6 State - Where does "what's done / what's left" live? Amnesia between runs
7 Human gate - Which actions are irreversible and must ask first? Catastrophic automation

Output

loop-output/
โ”œโ”€โ”€ SKILL.md          # The loop skill definition
โ”œโ”€โ”€ STATE.md          # Persistent state file (outside the skill)
โ”œโ”€โ”€ verifier.py       # Separate verification script
โ””โ”€โ”€ README.md         # Runbook for the loop

5. Usage

# Start the loop wizard
hermes -s loop-maker "I need a loop that..."

# The skill interviews you through the 7 questions
# Then emits a ready-to-run loop folder

6. Comparison: Loop Maker vs Perfectloop

Feature Loop Maker Perfectloop
Questions 7 (goal through human gate) 8 (adds verifier-verification + scheduler cleanup)
Cross-harness โœ… Claude Code, Codex, Hermes, OpenClaw Hermes-specific
Output Folder: SKILL.md + STATE.md + verifier.py YAML loop spec
Interview style Conversational wizard Formal 8-question contract
Rejection Scaffolds anyway (warns) Flatly rejects bad candidates
Best for Quick loop prototyping, cross-platform Production-critical loops, safety-first

7. CorpusIQ Use Cases

Automation Loop Maker Application
Daily skills sweep Trigger: cron; Verify: GitHub API returns valid; State: last_discovered_id
Email watchdog Trigger: poll interval; Verify: SMTP delivery confirmed; Human gate: auto-reply content
Lead qualification pipeline Trigger: new email; Verify: human reviews first 5; State: qualified_leads.json
Competitive monitoring Trigger: daily; Verify: diff against previous run; State: last_snapshot.json

8. Troubleshooting

Symptom Cause Fix
Loop output missing verifier Interview skipped question 5 Re-run; question 5 is mandatory
STATE.md grows without bound No cleanup defined Add max_entries or ttl_days to state management
Loop runs forever Stop condition too vague Use a concrete, checkable condition (count, timestamp, boolean)
Cross-harness compatibility Tool names differ Loop Maker uses abstract tool references - bind to your harness

โ† Skills Catalog | June 24 Evening Discovery โ†’

Integration with CorpusIQ

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

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