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policy-starter

Draft a firm AI usage policy from published model policies, adapted to your practice profile — a research-and-synthesis tool whose output is a draft for attorney review and adoption, not a finished policy. Use when user says "draft an AI policy", "we need an AI policy", "build an AI usage policy", "our firm needs a GenAI policy", or similar requests to generate a first-cut internal AI policy.

74

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

The body is a well-structured, highly actionable instruction set with a clear sequenced workflow and explicit validation checkpoints. Its only weakness is mild verbosity from overlapping rationale across the Purpose, top-level steps, and Don'ts sections.

Suggestions

Collapse the 'Purpose' discipline list into the top 7-step procedure or the Don'ts to remove the overlap and tighten the body toward a leaner token budget.

The 'Output scope reminder' near the end reiterates the header-audience point already covered in the Header subsection; consider merging it into that subsection.

Trim restated rationale (e.g., 'A policy that tries to cover everything covers nothing' appears in both the Purpose and Don'ts sections) to a single canonical location.

DimensionReasoningScore

Conciseness

The ~250-line body is mostly efficient domain-specific guidance rather than generic concept padding, but the 'Purpose' discipline list overlaps the top 7-step procedure and the 'Don'ts' section, so it could be tightened — matching anchor 2 rather than the lean anchor 3.

2 / 3

Actionability

Provides copy-paste-ready instructional artifacts — a 10-item scope-interview checklist with a default starter pack, a jurisdiction-to-source mapping table, an exact header template, a sources-block and reviewer-note block format, and an adoption checklist — matching anchor 3 for an instruction-only skill.

3 / 3

Workflow Clarity

A clear sequenced workflow (read profile → scope interview → source model policies → draft → output → handoffs) with explicit validation checkpoints — stop if profile unpopulated, push back if user skips scope, ask if footprint is a placeholder, note if web search fails — matching anchor 3.

3 / 3

Progressive Disclosure

No bundle files exist, so all content lives in SKILL.md, but it is organized into well-signaled sections (Matter context, Purpose, Scope interview, The draft, Don'ts, Handoffs) with no nested references, which satisfies the simple-skill allowance for anchor 3.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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

The description is strong: it states a concrete capability, includes an explicit 'Use when' clause with several natural trigger phrasings, and carves out a distinct legal-policy-drafting niche. It uses third-person/neutral voice with no over-claims, so it meets the top anchor on every dimension.

DimensionReasoningScore

Specificity

Names multiple concrete actions/characteristics — 'Draft a firm AI usage policy from published model policies, adapted to your practice profile' and frames it as 'a research-and-synthesis tool whose output is a draft for attorney review'. It is more conceptual than the extract/fill/merge example but still lists distinct concrete actions, so it clears anchor 3 rather than sitting at 2.

3 / 3

Completeness

Explicitly answers both what ('Draft a firm AI usage policy from published model policies... output is a draft for attorney review and adoption, not a finished policy') and when ('Use when user says...'), with an explicit 'Use when' trigger clause, matching anchor 3 and not the what-only anchor 2.

3 / 3

Trigger Term Quality

Provides natural user phrasings — 'draft an AI policy', 'we need an AI policy', 'build an AI usage policy', 'our firm needs a GenAI policy' — covering common variations a user would actually say, matching anchor 3 rather than the partial coverage of anchor 2.

3 / 3

Distinctiveness Conflict Risk

A clear niche (drafting an internal AI usage policy for a legal/firm context) with distinct GenAI-policy triggers makes it unlikely to fire for unrelated skills, matching anchor 3.

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
anthropics/claude-for-legal
Reviewed

Table of Contents

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