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cekura-predefined-metrics

Use when the user asks "what predefined metrics are available", "which built-in metrics should I use", "what does CSAT measure", "how does hallucination detection work", "what's the difference between Interruption Score and AI Interrupting User", "which metrics are free", "which metrics need audio", "configure silence threshold", "set up sentiment metric", or any question about Cekura's out-of-the-box metrics. Covers the full catalog of predefined metrics — what each does, costs, constraints, configuration options, and when to use each one.

74

Quality

93%

Does it follow best practices?

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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 high-quality reference skill: all content is domain-specific knowledge Claude cannot infer, the workflow includes explicit validation with error-recovery routing, and the bundle is cleanly structured with well-signaled, verified one-level-deep references. The only notable issue is moderate redundancy (the cost quick-reference table and repeated two-step activation).

DimensionReasoningScore

Conciseness

The body is dense with non-obvious domain data (per-metric costs, Sim/Obs availability, config keys, thresholds) and avoids explaining known concepts, but includes minor trimmable redundancy — the Cost & Credits Quick Reference fully duplicates the catalog's Cost column, and the two-step activation is stated twice (workflow steps 3-4 and the Enabling section).

4 / 5

Actionability

Guidance is fully concrete: exact endpoint names ("GET /test_framework/v1/predefined-metrics/"), config keys with types, defaults, and examples ("silence_duration", "pronunciation_words" phoneme pairs), actionable thresholds ("Under 2000ms is considered good", "Scores above 70 indicate satisfaction"), and a named baseline set; the absence of inline code is acceptable for an instruction-only skill per the scoring notes.

5 / 5

Workflow Clarity

The 6-step workflow has a clear sequence and an explicit validation checkpoint with a feedback loop ("Validate by running — execute a small batch and review results. If results look off, check the Common Pitfalls"), plus a critical two-step activation warning and a pitfall checklist covering failure modes, matching the 5 anchor's validate/recover structure.

5 / 5

Progressive Disclosure

Appropriate split: catalog, baseline, constraints, and pitfalls in SKILL.md; full payload examples, API endpoints, and per-use-case sets in three real, one-level-deep reference files, each clearly signaled at point of use and again under Additional Resources; grep confirms no nested references within the bundle.

5 / 5

Total

19

/

20

Passed

Description

91%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: explicit, natural trigger phrases with good synonym coverage, a clear statement of scope, and a well-defined Cekura niche. The only weaknesses are the absence of concrete operational actions (enable/toggle/attach) in the what-clause and slight overlap risk with sibling Cekura metric skills on generic metric-setup queries.

DimensionReasoningScore

Specificity

"Covers the full catalog of predefined metrics — what each does, costs, constraints, configuration options, and when to use each one" names several specific capability facets (costs, constraints, configuration, usage guidance), but stops short of the comprehensive concrete-action listing of the 5 anchor (e.g., it never mentions enabling, toggling, or attaching metrics).

4 / 5

Completeness

The "when" is explicit with concrete trigger phrases ("Use when the user asks... or any question about Cekura's out-of-the-box metrics") and the "what" is explicit (catalog coverage of behavior, costs, constraints, and configuration), matching the anchor that clearly answers both; it is not the 4 anchor since the when could hardly be more explicit.

5 / 5

Trigger Term Quality

Triggers are natural user phrasings with synonym coverage — "what predefined metrics are available", "which built-in metrics should I use", "which metrics are free", "which metrics need audio", "configure silence threshold" — spanning "predefined", "built-in", and "out-of-the-box" plus concrete metric names (CSAT, hallucination detection, Interruption Score).

5 / 5

Distinctiveness Conflict Risk

"Cekura's out-of-the-box metrics" carves a clear niche that mostly avoids conflict, but generic metric-management queries ("set up sentiment metric") carry minor overlap risk with sibling Cekura metric-design/eval-design skills, matching the "mostly distinct; minor overlap risk with closely related skills" anchor rather than the minimal-conflict 5 anchor.

4 / 5

Total

18

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

cekura-ai/cekura-skills

Path

cekura/skills/cekura-predefined-metrics/SKILL.md

Reviewed

Table of Contents

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