Agent Native

harness-creator

This skill helps build instruction and state files that keep AI coding agents reliable across sessions and prevent scope drift.

by walkinglabsCommunityNot reviewed

Community author

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
License
MIT (permissive)
Pin
38ddcd2pinned Oct 9, 2026
Context cost
about 1,100 tokenswhen the skill loads
GitHub stars
19,531on walkinglabs/learn-harness-engineering
Scripts
6 scripts

What it does

“Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill helps build instruction and state files that keep AI coding agents reliable across sessions and prevent scope drift. It creates or audits harnesses with five subsystems: startup instructions, feature tracking, verification gates, scope boundaries, and session handoff.

When to use it

  • Agents forget context or goals between sessions and need structured state files.
  • Creating AGENTS.md, CLAUDE.md, feature_list.json, progress.md, or init.sh files.
  • Agents claim tasks are done before tests pass or drift out of scope.
  • Assessing whether an existing harness structure helps agent reliability.

When not to

  • Choosing between LLM models or tuning prompts in isolation.
  • Designing chat interfaces or general application architecture.
  • Training or fine-tuning models.

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add walkinglabs/learn-harness-engineering --skill harness-creator

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install walkinglabs/learn-harness-engineering harness-creator@38ddcd2bf8d65271f668b94e7c875ca1d629d622

Installs the commit we checked (38ddcd2).

Copy by hand

Download the folder at 38ddcd2 and put it in .claude/skills/harness-creator for Claude Code and in .agents/skills/harness-creator for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 38ddcd2

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "harness-creator" by walkinglabs.

Source, pinned to commit 38ddcd2bf8d65271f668b94e7c875ca1d629d622:
https://github.com/walkinglabs/learn-harness-engineering/tree/38ddcd2bf8d65271f668b94e7c875ca1d629d622/skills/harness-creator

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/harness-creator/ for Claude Code and .agents/skills/harness-creator/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/walkinglabs/harness-creator

SKILL.md at the pin

---
name: harness-creator
description: >-
  Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md
  instruction files, feature/state tracking, verification gates, scope boundaries, session
  handoff, memory persistence, context budgets, tool-permission safety, and multi-agent
  coordination. Use this whenever a coding agent is unreliable across sessions — forgets context,
  drifts out of scope, claims "done" before tests pass, or starts each session inconsistently —
  or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or
  session-handoff files. Reach for it even if the user never says the word "harness."
license: MIT
---

# Harness Creator

Use this skill to make a repository easier for coding agents to start, stay in scope, verify work, and resume across sessions. Keep the harness small enough that agents actually follow it.

Not for model selection, prompt tuning in isolation, chat UI design, or general app architecture.

## Core Model

Every useful coding-agent harness has five subsystems:

| Subsystem | Minimal artifact | Purpose |
|---|---|---|
| Instructions | `AGENTS.md` or `CLAUDE.md` | Startup path, working rules, definition of done |
| State | `feature_list.json`, `progress.md` | Current feature, status, evidence, next step |
| Verification | `init.sh` or documented commands | Tests/checks the agent must run before claiming done |
| Scope | Feature dependencies and done criteria | Prevents overreach and half-finished work |
| Lifecycle | `session-handoff.md`, end-of-session routine | Makes the next session restartable |

## First Move

1. Inspect what already exists: instruction files, feature/state files, verification commands, docs, package manifests.
2. Ask only for missing context that cannot be inferred safely: target agent, desired file name, tolerance for structure, and whether overwriting is allowed.
3. Prefer a minimal harness first. Add memory, tool safety, multi-agent, or benchmark details only when the user's problem calls for them.

## Common Tasks

### Create a harness

Use the bundled script when working on a local repository:

```bash
node skills/harness-creator/scripts/create-harness.mjs --target /path/to/project
```

Options:

- `--agent-file CLAUDE.md` for Claude-oriented projects.
- `--package-manager npm|pnpm|yarn|bun` when detection is wrong.
- `--commands "cmd one,cmd two"` for custom verification.
- `--force` only after confirming overwrites are acceptable.

Then explain what was created and how the user should replace placeholder feature entries.

### Audit an existing harness

Run:

```bash
node skills/harness-creator/scripts/validate-harness.mjs --target /path/to/project
```

Report the five subsystem scores, the lowest-scoring area, and the first 2-3 changes that would improve reliability. Treat the lowest score as a candidate bottleneck; confirm with failures, logs, or task outcomes before claiming causality.

### Produce a report

Use when the user wants a shareable assessment:

```bash
node skills/harness-creator/scripts/render-assessment-html.mjs --target /path/to/project
node skills/harness-creator/scripts/run-benchmark.mjs --target /path/to/project --html /path/to/report.html
```

Be clear that this is a structural benchmark. The benchmark first runs a self-check — it scaffolds a throwaway harness and validates it, proving the bundled scripts work end-to-end — then scores the target and eval coverage. Real effectiveness still needs before/after agent sessions on representative tasks.

## When to Read References

Load only the reference needed for the user's problem:

- Memory across sessions: [Memory Persistence](references/memory-persistence-pattern.md)
- Reusable workflows as skills: [Skill Runtime](references/skill-runtime-pattern.md)
- Permissions, tools, concurrency: [Tool Registry & Safety](references/tool-registry-pattern.md)
- Context budget and progressive disclosure: [Context Engineering](references/context-engineering-pattern.md)
- Delegation and parallel agents: [Multi-Agent Coordination](references/multi-agent-pattern.md)
- Hooks, startup, long-running work: [Lifecycle & Bootstrap](references/lifecycle-bootstrap-pattern.md)
- Non-obvious failure modes: [Gotchas](references/gotchas.md)

## Design Rules

- Keep the root instruction file short: routing and invariants, not a full manual.
- Put project facts in project docs, not in the skill.
- Make verification commands explicit and runnable.
- Require evidence before marking a feature done.
- Use one active feature unless the harness has explicit multi-agent ownership boundaries.
- Prefer append/update state files over relying on chat history.
- Never hide destructive behavior in scripts; overwrites require explicit user approval.

## Deliverable Checklist

For a usable minimal harness, leave the target project with:

- [ ] `AGENTS.md` or `CLAUDE.md`
- [ ] `feature_list.json`
- [ ] `progress.md`
- [ ] `init.sh`
- [ ] Optional `session-handoff.md` for multi-session work
- [ ] Documented verification evidence or next action

If you cannot create files, provide exact file contents and commands instead.

From walkinglabs/learn-harness-engineering at 38ddcd2, shown as plain text under its license: MIT (permissive). The license text is in skills/harness-creator/SKILL.md.

View SKILL.md on GitHub at 38ddcd2

Files

26 files, 111 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 38ddcd2
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