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lading-optimize-hunt

Coordinates optimization attempts. Captures baselines, implements changes, invokes review, and records outcomes.

80

1.37x
Quality

79%

Does it follow best practices?

Impact

88%

1.37x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/lading-optimize-hunt/SKILL.md
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.

The content is an exemplary orchestration skill: fully executable commands at every phase, hard validation gates with error-recovery guidance, and clean externalization of record-keeping formats into real bundle files. The only flaw is minor duplication between the intro, the Role section, and the NOT/DOES bullets. Weighted 4.7 — near the top of the scale.

DimensionReasoningScore

Conciseness

The body is lean and command-driven with no explanations of concepts Claude already knows, but the "Role: Coordinator and Recorder" section restates the opening summary nearly verbatim ("it captures baselines, implements changes, hands off to review, and records all outcomes") and the NOT/DOES bullets re-encode what the phases already specify. Fits anchor 4 (efficient, minor trimming possible) rather than 5 due to that duplication.

4 / 5

Actionability

Every phase provides copy-paste-ready commands with concrete variables and worked examples: `cargo criterion --bench "$BENCH"`, `hyperfine --warmup 3 --runs 30 --export-json /tmp/baseline.json`, staged cleanup (`rm -rf target/criterion`), and a fully specified review invocation with per-argument definitions including the `--bench syslog` derivation example. Fully executable with no meaningful gaps, matching anchor 5.

5 / 5

Workflow Clarity

Phases 0-5 are clearly sequenced with explicit validation checkpoints and error-recovery loops: baseline capture is marked CRITICAL before any code change, `ci/validate` is a hard gate ("No exceptions. If ci/validate fails, fix the issue before continuing") with an escape hatch for pre-existing bugs, and "All benchmarks must complete before continuing" guards the handoff. Destructive cleanup is staged and justified — matches anchor 5.

5 / 5

Progressive Disclosure

The body is a clear phase-by-phase overview that appropriately externalizes detail one level deep into real bundle files: the index entry format lives in `assets/index.template.yaml` and per-run reports in `assets/db/<id>.yaml` (both verified to exist in the bundle), each referenced with its purpose stated. No content that should be separate is inlined and navigation is unambiguous, matching anchor 5.

5 / 5

Total

19

/

20

Passed

Description

55%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 has a clear, action-oriented "what" with four concrete steps, but completely lacks "when to use" trigger guidance and natural trigger keywords. It also never names its domain, creating overlap risk with generic optimization skills. Scored 3 overall (weighted 3.2): solid on specificity, weak on trigger terms, completeness, and distinctiveness.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when attempting to optimize lading's benchmark performance, after find-target identifies a target, or when coordinating an optimization attempt.'

Include natural trigger terms users would actually say: 'optimize', 'benchmark', 'performance', 'speed up', 'baseline', 'cargo criterion'.

Name the domain (lading / cargo benchmark tuning) to distinguish this skill from generic code-optimization or benchmarking skills and reduce mis-triggering.

DimensionReasoningScore

Specificity

"Captures baselines, implements changes, invokes review, and records outcomes" lists four concrete workflow actions with only minor gaps in coverage. Not 5 because the actions stay at workflow altitude without naming concrete artifacts like benchmark runs or verdict records; above 3 because it goes beyond 1-2 actions.

4 / 5

Completeness

The "what" is clear (four named actions), but there is no "when" — no "Use when..." clause or equivalent trigger guidance anywhere, which caps completeness at 3 per the judging guidelines. Not 4 because the "when" is entirely absent rather than merely implicit.

3 / 5

Trigger Term Quality

Relevant keywords like "optimization", "baselines", and "review" are present, but common natural variations users would say — "benchmark", "performance", "speed up", "criterion" — are missing. Fits anchor 3 (relevant keywords, missing synonyms) rather than 4 (which requires broader natural-term coverage).

3 / 5

Distinctiveness Conflict Risk

"Coordinates optimization attempts" is broadly applicable to code-tuning work and could overlap with generic optimization or benchmarking skills; the review-handoff detail adds some distinctiveness. Fits anchor 3 (somewhat specific, still overlapping) — the 4 anchor would require naming the actual domain (e.g., lading/cargo benchmarks).

3 / 5

Total

13

/

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

DataDog/lading

Path

.claude/skills/lading-optimize-hunt/SKILL.md

Reviewed

Table of Contents

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