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talk-sloan-harness-engineering-beyond-code

Summarizes Rob Sloan's harness-engineering talk and creates safe design artifacts for agent context beyond code: product-intent packets, design constraints, acceptance criteria, context ownership, and review gates. Use when the user asks about making non-code context agent-ready or improving AI work with product/design intent.

Quality

85%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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-organized, token-efficient instruction skill with clear workflows and useful templates, undermined by a broken bundle: all three referenced files are absent from the skill directory, leaving the core read-order navigation pointing at nothing. The design is right; the packaging is incomplete.

Suggestions

Ship the referenced bundle files (outline.md, quote.md, transcript.md) in references/ so the read order's one-level-deep navigation actually resolves; their absence breaks the skill's primary structure.

Add a worked example for 'Turn vague goals into acceptance criteria' (e.g., 'make the agent's output good' → measurable checklist items) to lift the applying-the-talk workflow from abstract to executable.

Add an explicit verification step to the artifact workflow, such as 'check the produced context packet against the acceptance criteria before presenting it,' to close the validation gap.

DimensionReasoningScore

Conciseness

The body is lean: a read order, an output list, three short workflows, fill-in templates, and two examples — no padding and no explanation of concepts Claude already knows. Every section earns its tokens.

5 / 5

Actionability

Mostly concrete guidance for an instruction-only skill: numbered steps ("State the product intent in one paragraph", "List non-code constraints separately from code constraints") and structured templates ("Thesis: <one sentence>", "Boundaries: <what the agent/system must not do>"). Not a 5 because steps like "Turn vague goals into acceptance criteria" lack a worked example showing the transformation.

4 / 5

Workflow Clarity

Three clearly sequenced workflows (read order, factual answering, applying the talk) with conditional gates ("Add one short excerpt... only if it strengthens the answer"; "State when the bundle does not cover a requested detail"). Not a 5 because explicit validation checkpoints for outputs (e.g., checking a produced context packet against the acceptance criteria) are implicit rather than stated as steps.

4 / 5

Progressive Disclosure

The read order clearly signals one-level-deep references ("Use `outline.md`...", "`quote.md`", "`transcript.md`"), but none of these bundle files exist in references/, scripts/, or assets/ — the navigation the body depends on is broken, so a third of the skill's content is unreachable.

3 / 5

Total

16

/

20

Passed

Description

87%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.

A strong description: third-person, concrete, with an explicit 'Use when...' clause covering both what the skill does and when to invoke it. Trigger phrasing is natural and the niche is highly distinct; only minor synonym coverage keeps specificity and trigger quality at 4.

DimensionReasoningScore

Specificity

Concrete actions are named — "Summarizes Rob Sloan's harness-engineering talk and creates safe design artifacts" — and the artifact list ("product-intent packets, design constraints, acceptance criteria, context ownership, and review gates") is specific and domain-complete. Not a 5 because only two verbs carry the action list; the rest enumerates objects rather than additional actions.

4 / 5

Completeness

Explicitly answers both: the "what" ("Summarizes... and creates safe design artifacts..." with a full artifact enumeration) and the "when" ("Use when the user asks about making non-code context agent-ready or improving AI work with product/design intent") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural trigger phrases like "making non-code context agent-ready", "improving AI work", and "product/design intent" map well to what a user would say. A few plausible variations (e.g., "agent harness", "context engineering", "give my agent product context") are missing, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

The reference to a specific talk ("Rob Sloan's harness-engineering talk") and the niche focus on non-code agent context create a clear, distinct trigger surface with minimal overlap risk against generic summarization or coding skills.

5 / 5

Total

18

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

jscraik/Agent-Skills

Path

Plugins/aidevcon/skills/talk-sloan-harness-engineering-beyond-code/SKILL.md

Reviewed

Table of Contents

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