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cloudflare-workers-expert

Expert in Cloudflare Workers and the Edge Computing ecosystem. Covers Wrangler, KV, D1, Durable Objects, and R2 storage.

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/cloudflare-workers-expert/SKILL.md

The canonical home for this skill is cloudflare-workers-expert in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

68%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.

The body is well-structured and mostly executable with two solid code examples, but it presents instructions as a topic list rather than a sequenced workflow with validation checkpoints, and a couple of key features (Durable Objects, waitUntil) lack concrete examples.

Suggestions

Add a short concrete code snippet for Durable Objects and one for ctx.waitUntil() to close the actionability gap.

Reframe the Instructions into a sequenced deploy workflow with a verification checkpoint (e.g. run `npx wrangler dev` and confirm the route responds before `wrangler deploy`).

Trim the opening role-setting sentence since it duplicates the frontmatter description.

DimensionReasoningScore

Conciseness

Mostly lean with concrete commands and complete code; the only padding is the opening role-setting sentence that restates the description and a few Do/Don't lines that could be tightened.

4 / 5

Actionability

Provides two complete, executable code examples and specific commands (npx wrangler dev, wrangler tail, wrangler.toml), but Durable Objects and waitUntil() are mentioned without a concrete example.

4 / 5

Workflow Clarity

The numbered Instructions are loosely sequenced (config, dev, bindings, runtime concerns) but there are no explicit validation checkpoints or feedback loops; it reads as a topic list rather than a sequenced workflow.

3 / 5

Progressive Disclosure

Body is well-organized into clear sections (Use when, Do not use, Instructions, Examples, Best Practices, Troubleshooting) with no nested references; minor gap is that the broad examples could live in a separate reference file.

4 / 5

Total

15

/

20

Passed

Description

65%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.

The description clearly scopes a distinct Cloudflare Workers niche with strong natural trigger terms, but it lacks an explicit 'Use when' clause and uses generic stance verbs ('Expert in', 'Covers') rather than concrete actions.

Suggestions

Add an explicit trigger clause, e.g. 'Use when deploying serverless functions to Cloudflare Workers, configuring KV/D1/R2 bindings, or optimizing edge latency.'

Replace stance verbs with concrete actions ('Deploys', 'Configures', 'Optimizes') to raise specificity.

Include 'Cloudflare Pages' and 'edge functions' as additional natural trigger synonyms.

DimensionReasoningScore

Specificity

Names the domain and several concrete sub-technologies ('Wrangler, KV, D1, Durable Objects, and R2 storage') but the only action verbs are 'Expert in' and 'Covers', which are minimal/generic rather than concrete actions like deploy or build.

3 / 5

Completeness

Has a clear 'what' (expertise across the Cloudflare edge ecosystem and named services) but no explicit 'Use when...' trigger clause, so per the judging guidelines completeness is capped at 3.

3 / 5

Trigger Term Quality

Includes the natural product terms users actually say ('Cloudflare Workers', 'Edge Computing', 'Wrangler', 'KV', 'D1', 'Durable Objects', 'R2'), but misses some common synonyms such as 'edge functions' and 'Cloudflare Pages'.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (Cloudflare Workers / edge computing) with distinct named-product triggers and minimal overlap risk with other skills.

5 / 5

Total

15

/

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.

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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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