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worker-benchmarks

Run comprehensive worker system benchmarks and performance analysis

55

Quality

69%

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tessl review fix ./.agents/skills/worker-benchmarks/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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 content is a tight, command-first reference: every benchmark type has concrete targets, metrics, and runnable CLI commands, with settings and programmatic usage covered. The main defects are cosmetic corruption ('$' where '/' belongs) in paths and units, an overlong sample-output block, and an implicit rather than explicit failure-remediation loop.

Suggestions

Fix the '$'-for-'/' corruption in '.claude$settings.json', the import path 'agentic-flow$workers$worker-benchmarks', and 'ops$s' so all snippets are copy-paste executable.

Trim the 28-line sample output block to 5-8 representative lines (or move it to a references/output-format.md) to improve token efficiency.

Add an explicit remediation loop: 'If a benchmark exceeds its p95 target, enable the matching optimization tip (env vars above) and re-run that benchmark to verify.'

DimensionReasoningScore

Conciseness

The body is dense and functional — benchmark types as compact target/metric lists, copy-paste CLI commands, and a short settings snippet — with no explanation of concepts Claude already knows. It is not a 5 because the ~28-line decorated sample output block (">️ BENCHMARK RESULTS ... ═══") is illustrative padding that could be trimmed to a few lines.

4 / 5

Actionability

Guidance is mostly executable: 'npx agentic-flow workers benchmark --type trigger-detection', per-benchmark targets ('p95 < 5ms'), settings JSON, and a programmatic TypeScript example — matching anchor 4. It is not a 5 because several paths/units are corrupted with '$' instead of '/' ('.claude$settings.json', 'agentic-flow$workers$worker-benchmarks', 'ops$s'), so those snippets are not copy-paste runnable as written.

4 / 5

Workflow Clarity

The Quick Start gives exact commands for the full suite and each individual benchmark, and the Performance Optimization Tips section provides remediation context, matching anchor 4's 'clear sequence with most checkpoints present'. Not a 5 because there is no explicit interpret-then-act loop (e.g., 'if a benchmark fails its p95 target, enable the matching optimization and re-run') — the connection between failures and the tips is left implicit.

4 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent) and the single SKILL.md is well-sectioned (Quick Start, Benchmark Types, Output Format, Settings, Programmatic Usage, Tips), matching anchor 4's 'good structure; most content appropriately placed'. Not a 5 because the file runs ~135 lines with the sample output and settings detail inlined where a leaner overview plus one reference file would navigate better.

4 / 5

Total

16

/

20

Passed

Description

50%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 states a clear domain and a clear 'what', but reads as a generic label rather than a triggering description. It lacks any 'when to use' guidance, omits the concrete benchmark types that would make it specific, and has moderate overlap risk with general performance-testing skills.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks to benchmark, profile, or measure the latency/throughput of agentic-flow workers'.

Replace 'comprehensive' and 'performance analysis' with the concrete benchmark names (trigger detection, registry CRUD, agent selection, model cache, concurrent workers, memory key generation) so the description advertises what the skill actually measures.

Include natural synonyms and targets users would say ('latency', 'p95', 'throughput', 'speed test') to improve trigger matching and distinctiveness.

DimensionReasoningScore

Specificity

The description names the domain ("worker system benchmarks") and two actions ("Run ... benchmarks and performance analysis"), matching anchor 3's 'names domain and 1-2 concrete actions'. It is not a 4 because the actions are generic — none of the skill's concrete benchmark types (trigger detection, registry, agent selection, memory keys) or measurable targets appear, and 'comprehensive' is filler.

3 / 5

Completeness

The 'what' is stated clearly ('Run comprehensive worker system benchmarks and performance analysis') but there is no 'Use when...' clause or equivalent trigger guidance, so per the rubric guideline completeness is capped at 3. It is not a 2 because the 'what' is clear, not vague.

3 / 5

Trigger Term Quality

Relevant keywords like "benchmarks", "performance", and "worker" are present, matching anchor 3's 'some relevant keywords but missing common variations or synonyms'. Not a 4 because natural phrasings users would actually say — 'latency', 'speed', 'profiling', 'metrics', 'p95' — are absent despite being central to the skill.

3 / 5

Distinctiveness Conflict Risk

"worker system benchmarks" carves out a niche, but 'worker' is ambiguous (Cloudflare workers, web workers, background jobs) and 'performance analysis' overlaps broadly with general profiling/timing skills — matching anchor 3, 'somewhat specific but could still overlap with similar skills'. Not a 4 because nothing in the description (e.g., 'agentic-flow') disambiguates which worker system is meant.

3 / 5

Total

12

/

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.

Validation — 15 / 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

ruvnet/ruflo

Path

.agents/skills/worker-benchmarks/SKILL.md

Reviewed

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