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testland/latency-percentile-analyzer

Interprets latency distributions from k6 load tests beyond the p95/p99 gate: reads percentile summaries and JSON exports to identify tail shape, computes the tail ratio (p99/p50) as a distribution-spread signal, detects bimodal distributions, explains coordinated omission and why naive p99 values are optimistic under sustained load, and distinguishes request-rate from concurrency models. Use when a k6 threshold passes but the system still feels slow, when p99 is suspiciously low during ramp-up, or when the team needs to explain why tail latency is high rather than just observing that it is.

76

Quality

96%

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Overview
Quality
Evals
Security
Files

Quality

Content

92%

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

A high-quality, actionable interpretation workflow with executable code, clear sequencing, and cross-check checkpoints. The main weakness is progressive disclosure: the body is a long single-file tutorial where the coordinated-omission deep-dive and reference material could be split into separate files to keep SKILL.md a tighter overview.

Suggestions

Move the Step 3 coordinated-omission deep-dive (concept illustration, HdrHistogram correction, ramp-up analysis) into a dedicated reference file such as references/coordinated-omission.md, leaving SKILL.md a concise summary that links to it.

Extract the anti-patterns table and the threshold-gating examples (Step 5) into a references/thresholds-and-antipatterns.md file, so the core workflow in SKILL.md stays a tight overview.

Add a short 'Quick start / overview' section near the top that summarizes the five-step reading workflow in a few lines before diving into detail, aiding discovery and navigation.

DimensionReasoningScore

Conciseness

The body is dense and technical with no padding about basics Claude already knows; even the coordinated-omission walkthrough is specialized knowledge central to the skill rather than common-ground explanation. It assumes competence throughout, fitting the score-3 'lean and efficient' anchor; it is above score 2 because the prose consistently earns its tokens.

3 / 3

Actionability

Provides fully executable, copy-paste-ready guidance: a `k6 run --summary-trend-stats` command, `summaryTrendStats`/`handleSummary`/`thresholds` JS options, and a `jq` read-back against `summary.json`. This matches the score-3 anchor and exceeds score 2 (which would use pseudocode or omit key details).

3 / 3

Workflow Clarity

A clearly sequenced five-step interpretation workflow with an explicit reading order (2a/2b/2c) and cross-check checkpoints (tail-ratio bands, bimodal heuristics, sub-metric breakdown, dropped_iterations red flag) plus an anti-patterns checklist. It meets the score-3 anchor's 'clear sequence with checkpoints'; it is above score 2, which requires missing/implicit checkpoints.

3 / 3

Progressive Disclosure

The skill is a ~270-line monolithic body with no bundle/reference files to split into, and external doc links are clearly signaled one level deep. However it keeps detailed material (the Step 3 coordinated-omission deep-dive, the anti-patterns table) fully inline rather than presenting SKILL.md as a tighter overview pointing to detailed materials, fitting the score-2 anchor ('content that should be separate is inline'). It is below score 3 because there is no progressive split of the deeper material.

2 / 3

Total

11

/

12

Passed

Description

100%

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 in third-person voice that clearly states multiple concrete capabilities and provides explicit 'Use when...' triggers tied to realistic scenarios. It distinguishes itself well from neighboring k6/load-testing skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: 'reads percentile summaries and JSON exports to identify tail shape, computes the tail ratio (p99/p50)... detects bimodal distributions, explains coordinated omission... distinguishes request-rate from concurrency models'. This matches the score-3 anchor ('Lists multiple specific concrete actions'); it is above score 2 because the actions are comprehensive and specific rather than partial.

3 / 3

Completeness

Explicitly answers both 'what' (the interpretation actions) and 'when' via a clear 'Use when...' clause with three concrete triggers. This matches the score-3 anchor and is above score 2, where the 'when' is only implied.

3 / 3

Trigger Term Quality

Uses natural terms a user would say when needing this skill: 'k6 load tests', 'p95/p99 gate', 'threshold passes but the system still feels slow', 'p99 is suspiciously low during ramp-up', 'tail latency'. Good coverage of natural phrasings; not merely technical jargon, so it sits above score 2.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (k6 latency-distribution interpretation beyond p95/p99 gates) with distinct triggers unlikely to fire for unrelated skills. It is well above score 2 ('could still overlap with similar skills') because the k6 + tail-latency + coordinated-omission framing is highly specific.

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Reviewed

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