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harness-creator

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."

75

Quality

93%

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SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured skill body: lean overview, executable bundled-script commands, clear reference routing, and explicit safety handling for destructive overwrites. The only weak spot is mild redundancy between the Core Model table and the Deliverable Checklist and a small validation-chain gap in the create flow.

Suggestions

Drop or consolidate the Deliverable Checklist, since its artifact list duplicates the Core Model table; instead reference the table or keep only the non-duplicate items (optional session-handoff.md, documented verification evidence).

In the 'Create a harness' task, add an explicit post-create validation step (e.g. 'Then run validate-harness.mjs --target … to confirm the harness scores well before handing off') so the create workflow has a clear checkpoint.

Tighten the First Move and Design Rules sections slightly — a few invariants (e.g. minimal-first, append/update over chat history) are restated across both — to push conciseness toward fully lean.

DimensionReasoningScore

Conciseness

The body is efficient — a Core Model table plus executable commands assume Claude's competence and avoid explaining known concepts — but the Deliverable Checklist restates the artifacts already named in the Core Model table, a minor redundancy that could be trimmed.

4 / 5

Actionability

Copy-paste-ready commands for create-harness, validate-harness, render-assessment-html, and run-benchmark are given with real flags (--agent-file, --package-manager, --commands, --force) and the referenced scripts all exist in the bundle, covering the common cases.

5 / 5

Workflow Clarity

First Move and the create/audit/report tasks give a clear sequence, and validation is present (validate-harness.mjs, benchmark self-check, evidence-before-done, --force confirmation for destructive overwrites), but the create workflow does not explicitly chain into a post-create validate step, leaving a minor checkpoint gap.

4 / 5

Progressive Disclosure

The body is a well-routed overview whose 'When to Read References' section maps each user problem to one of seven one-level-deep references, all of which exist as real bundle files; scripts are invoked by command rather than inlined, making navigation easy.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: third-person voice, concrete actions, comprehensive natural-language triggers, and an explicit what-and-when structure. It distinguishes itself clearly and avoids vague fluff or over-claims.

DimensionReasoningScore

Specificity

Concrete verbs ('Build, audit, and improve harnesses') plus a comprehensive list of subsystems (verification gates, scope boundaries, memory persistence, tool-permission safety, multi-agent coordination) and named artifacts (AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, session-handoff files) give full coverage of specific actions.

5 / 5

Completeness

Clearly answers 'what' (build/audit/improve harnesses with enumerated subsystems and artifacts) and 'when' ('Use this whenever a coding agent is unreliable across sessions … or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files').

5 / 5

Trigger Term Quality

Captures natural user phrases ('unreliable across sessions', 'forgets context', 'drifts out of scope', "claims 'done' before tests pass", 'starts each session inconsistently') alongside concrete file-name triggers, with explicit guidance to reach for it even without the word 'harness'.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (coding-agent harnesses) anchored to specific file types and subsystems, minimizing overlap with adjacent skills; triggers are distinctive.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
walkinglabs/learn-harness-engineering
Reviewed

Table of Contents

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