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n-agentic-harnesses-anthropic

Design, evaluate, and improve agentic harnesses — the orchestration layer around LLM-powered tools, agents, assistants, copilots, workflow runtimes, and AI-driven product features. Use this skill whenever the user mentions building an agentic system, structuring tool use, adding permissions or approval gates, designing multi-step AI workflows, managing context windows or memory, making agents durable or resumable, evaluating or pressure-testing an existing harness, planning phased implementation for an AI product, reviewing agent architecture, improving agent UX or observability, or asking how to know if their harness is actually good. Also use when the user describes problems that imply harness gaps — like agents doing unexpected things, context getting stale, sessions not surviving crashes, tools running without permission, or costs spiraling — even if they do not use the word "harness."

67

Quality

81%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

62%

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

A well-organized router skill with strong workflow sequencing and clear output contracts. It loses points on conciseness (repeated default-posture messaging) and on actionability/progressive disclosure because it ships no executable examples and the referenced reference files are not present in the bundle to verify.

Suggestions

Provide at least one concrete, copy-paste-ready artifact (e.g., a minimal evaluation checklist template or a sample phased-plan skeleton) so the output contract is executable rather than purely descriptive.

Dedupe the lean/single-agent default: it appears in 'Default posture,' 'Operating Rules,' and 'Final Check Before Responding' — consolidate to one place and reference it.

Either include the eleven referenced files under references/ or trim the inline reference listing; currently the listed one-level references do not resolve, which weakens progressive disclosure.

DimensionReasoningScore

Conciseness

The body is efficient and free of irrelevant concept-explanation padding, but it is on the longer side for a routing index and several passages restate the same idea (e.g., lean/single-agent default appears in 'Default posture,' 'Operating Rules,' and 'Final Check'). It is mostly efficient but could be tightened, matching the score-2 anchor rather than the score-3 'every token earns its place.'

2 / 3

Actionability

Guidance is concrete in structure (named reference files, ordered output contracts, named product shapes) but provides no executable code, commands, or copy-paste-ready artifacts — it is an instruction-only router and the guidance is actionable in direction but not in the 'specific examples / copy-paste ready' sense of the score-3 anchor. It clears score-2 (some concrete guidance) without reaching score-3.

2 / 3

Workflow Clarity

A clearly sequenced multi-step process — Step 0 gather context → Step 1 classify request → Step 2 classify product shape → Step 3 read reference set — with explicit gating ('Choose one mode before reading reference files,' 'do not evaluate from vibes alone') and a 'Final Check Before Responding' validation checklist. This matches the score-3 anchor of a clear sequence with explicit checkpoints.

3 / 3

Progressive Disclosure

The body lists eleven reference files with one-line cues and acts as a one-level index ('Do not rely on reference-to-reference chains. This file is the index.'), but the referenced bundle directory does not exist in this skill, so the references cannot be verified as real one-level-deep files and the inline Step/Output sections carry detail that could live in references. This fits the score-2 anchor (structure present, some inline content that could be separate) rather than score-3, which requires well-signaled one-level-deep references that actually resolve.

2 / 3

Total

9

/

12

Passed

Description

100%

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

A strong, well-structured description that covers concrete capabilities, natural trigger phrasing, explicit use-when guidance, and a distinct niche. The symptom-based triggers ('even if they do not use the word harness') are a notable strength for recall.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'Design, evaluate, and improve agentic harnesses' and enumerates concrete tasks like 'structuring tool use, adding permissions or approval gates,' 'managing context windows or memory,' and 'making agents durable or resumable.' This matches the score-3 anchor of multiple specific concrete actions rather than the score-2 anchor naming only some actions.

3 / 3

Completeness

Explicitly answers both halves: 'what' ('Design, evaluate, and improve agentic harnesses — the orchestration layer...') and 'when' ('Use this skill whenever the user mentions...'). The explicit 'Use this skill whenever' trigger clause matches the score-3 anchor; without it completeness would cap at 2.

3 / 3

Trigger Term Quality

Strong coverage of natural terms users would actually say — 'building an agentic system,' 'multi-step AI workflows,' 'context getting stale,' 'sessions not surviving crashes,' 'costs spiraling' — plus a deliberate catch for symptom-language ('even if they do not use the word "harness"'). This matches the score-3 anchor of good coverage over the score-2 anchor of only some relevant keywords.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (the orchestration layer around LLM tools/agents) with distinct triggers unlikely to fire for unrelated skills, matching the score-3 clear-niche anchor rather than the score-2 'could still overlap' anchor.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 20 missing

Warning

Total

15

/

16

Passed

Repository
NateBJones-Projects/OB1
Reviewed

Table of Contents

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