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observability-triage

Triage OpenSEO production errors in Cloudflare Workers Observability — verified query recipes, counting gotchas, and a known-noise filter list applied automatically. Use when asked to review Cloudflare logs/observability, count OOMs or worker errors, compare error rates between periods, or investigate a prod error spike.

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

90%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 dense, highly actionable triage reference with executable query recipes and well-signaled validation checkpoints, scoring at the top for conciseness and actionability. Minor implicitness in the workflow sequence and the lack of external reference files keep two dimensions at 4.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, omitting basic explanations of Cloudflare or observability; every section (query recipes, gotchas, known noise) carries load-bearing detail Claude would not already know.

5 / 5

Actionability

Provides a copy-paste-ready JSON query payload, the exact endpoint, the specific MCP tool name, verified filter operations, and concrete fingerprint markers — fully executable guidance covering the common triage cases.

5 / 5

Workflow Clarity

A clear structure (Access → Query recipes → Counting gotchas → Known noise → Adding an entry) with explicit validation checkpoints (the runtime-vs-app litmus test, 'do not re-investigate', entry criteria), though the overall flow is implicit rather than a numbered sequence.

4 / 5

Progressive Disclosure

Well-organized with clear section headers and self-contained content; no bundle files exist so all material is appropriately inline, but at ~75 lines it exceeds the under-50-line simple-skill exception that would otherwise yield a 5.

4 / 5

Total

18

/

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, specific description that clearly answers both what the skill does and when to use it, with natural trigger phrases and minimal conflict risk. Minor specificity and trigger-term gaps keep two dimensions at 4 rather than 5.

DimensionReasoningScore

Specificity

Names the domain (Cloudflare Workers Observability) and lists several concrete capabilities — 'verified query recipes, counting gotchas, and a known-noise filter list applied automatically' — though 'counting gotchas' and 'noise filter' are somewhat abstract, leaving minor gaps versus the fully comprehensive anchor.

4 / 5

Completeness

Clearly states both what it does (triage prod errors with query recipes, counting gotchas, noise filter) and when to use it via an explicit 'Use when...' clause with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Natural triggers like 'review Cloudflare logs/observability', 'count OOMs or worker errors', 'compare error rates between periods', and 'investigate a prod error spike' give good coverage with synonyms, but a few common phrasings are absent versus the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

A clear niche (Cloudflare Workers Observability triage for OpenSEO prod) with distinct, specific triggers makes overlap with other skills minimal, matching the top anchor.

5 / 5

Total

18

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
every-app/open-seo
Reviewed

Table of Contents

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