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proofreader-api

Implements and debugs browser Proofreader API integrations in JavaScript or TypeScript web apps. Use when adding Proofreader availability checks, monitored model downloads, proofread flows, correction metadata handling, or permissions-policy checks for built-in proofreading. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.

75

Quality

92%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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 tightly written, well-structured procedural skill that delegates detail to real reference, script, and asset files with clear conditional navigation. The only minor gap is that executable code is referenced rather than inlined, which is appropriate for this instruction-style skill.

DimensionReasoningScore

Conciseness

Lean, directive procedural prose with no padding and no explanation of concepts Claude already knows; every step earns its place (e.g., "Gate session creation behind Proofreader.availability()...").

5 / 5

Actionability

Names exact API methods (availability, create, proofread, measureInputUsage, destroy), specific option fields, a runnable command, and concrete file targets, but copy-paste-ready code itself lives in bundle files rather than inline in the body.

4 / 5

Workflow Clarity

A clearly sequenced five-step procedure with explicit stop-gates ("stop and ask", "stop and explain"), a dedicated Validate step that re-runs the inventory script, and an Error Handling section providing retry/fallback feedback loops.

5 / 5

Progressive Disclosure

Body is an overview with well-signaled, condition-based, one-level-deep references to real bundle files ("Read references/proofreader-reference.md before writing code", "Read references/examples.md when..."), all of which exist on disk.

5 / 5

Total

19

/

20

Passed

Description

92%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, specific description that clearly states what the skill does, when to use it, and where its boundaries lie. The only mild gap is trigger-term breadth — it lacks layperson synonyms like "grammar/spell check" that a user might naturally say.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "availability checks, monitored model downloads, proofread flows, correction metadata handling, or permissions-policy checks" — giving comprehensive coverage of the capability surface.

5 / 5

Completeness

Explicitly answers both what ("Implements and debugs browser Proofreader API integrations") and when ("Use when adding...") with concrete trigger phrases, plus an explicit "Don't use for..." boundary.

5 / 5

Trigger Term Quality

Good keyword coverage with natural domain terms ("Proofreader API", "built-in proofreading", "proofread flows"), but misses common synonyms users might say like "grammar check" or "spell check" and any file-extension triggers.

4 / 5

Distinctiveness Conflict Risk

Clear niche (browser built-in Proofreader API) with an explicit exclusion list ("generic prompt engineering, server-side LLM SDKs, or cloud AI services") that minimizes conflict with adjacent skills.

5 / 5

Total

19

/

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
webmaxru/web-ai-agent-skills
Reviewed

Table of Contents

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