harness-creatorSAFE
Harness engineering beginner tutorial, from 0 to 1
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
A compact skill for building and auditing harnesses around AI coding agents.
It helps a repository provide five things agents need: instructions, state, verification, scope boundaries, and lifecycle handoff.
Install
npx skills add walkinglabs/learn-harness-engineering --skill harness-creator
Or copy skills/harness-creator/ into your skill path.
Use
node skills/harness-creator/scripts/create-harness.mjs --target /path/to/project node skills/harness-creator/scripts/validate-harness.mjs --target /path/to/project node skills/harness-creator/scripts/run-benchmark.mjs --target /path/to/project --html /path/to/report.html
The scripts use only Node.js built-in modules. They can be run after copying the skill directory into another repository.
What It Creates
AGENTS.mdorCLAUDE.mdfeature_list.jsonprogress.mdinit.shsession-handoff.md
create-harness.mjs detects common project types and package managers. It supports Node/npm/pnpm/yarn/bun, Python, Go, Rust, Maven, Gradle, and .NET at a basic verification-command level.
What It Checks
validate-harness.mjs scores the five harness subsystems:
- Instructions
- State
- Verification
- Scope
- Lifecycle
The score is structural. It tells you whether the harness is present and coherent; it does not replace real before/after agent-session testing.
Status
- [x] Minimal harness scaffolding
- [x] Five-subsystem validation
- [x] HTML assessment report
- [x] Structural benchmark report
- [x] 10 eval cases
- [x] Generic verification detection for common stacks
- [ ] Optional real before/after agent-session replay
Files
harness-creator/ ├── SKILL.md ├── metadata.json ├── agents/openai.yaml ├── scripts/ │ ├── create-harness.mjs │ ├── validate-harness.mjs │ ├── render-assessment-html.mjs │ ├── run-benchmark.mjs │ └── lib/harness-utils.mjs ├── templates/ │ ├── agents.md │ ├── feature-list.json │ ├── feature-l
1fb990333bd2OBSERVED · 2026-10-21Install
Commands as the repository documents them. They are shown, not run.
npx skills add walkinglabs/learn-harness-engineering --skill harness-creator
npx skills add walkinglabs/learn-harness-engineering --skill harness-creator
Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned | |
| cursor | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- 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.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
1fb990333bd2full audit observations/trust-audit/skill/walkinglabs__harness-creator.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-21 | 1fb990333bd2 | SAFE | B | 89 | first audit |
Questions
What does the harness-creator — walkinglabs/learn-harness-engineering skill do?
Harness engineering beginner tutorial, from 0 to 1
Is harness-creator — walkinglabs/learn-harness-engineering safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can harness-creator — walkinglabs/learn-harness-engineering access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does harness-creator — walkinglabs/learn-harness-engineering work with?
Its documentation mentions claude-code and cursor. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (1fb990333bd2), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
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