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verify

Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.

65

Quality

78%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./crates/tui/assets/skills/verify/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content body is a model of lean, well-structured instruction: concise, actionable, clearly sequenced, and appropriately scoped with no unnecessary references.

DimensionReasoningScore

Conciseness

The body is lean (~15 lines) with no padding and no explanation of concepts Claude already knows; every section and line earns its place.

3 / 3

Actionability

For an instruction-only process skill the guidance is concrete and specific, naming the surfaces to target ("CLI binary, API, UI") and the evidence to capture ("outputs, exit codes, logs, or screenshots"); absence of code is not penalized per the code_vs_instruction scoring note.

3 / 3

Workflow Clarity

A clear, well-sequenced 4-step workflow; this is not a destructive or batch operation so the validation-cap does not apply, and step 4's "Report evidence and remaining uncertainty" serves as the closing checkpoint.

3 / 3

Progressive Disclosure

Under 50 lines, single-purpose, with no need for external references; the well-organized sections (When to use, Non-goals, Workflow) satisfy the simple-skills allowance for a score of 3.

3 / 3

Total

12

/

12

Passed

Description

57%

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 concrete, distinctive purpose but omits an explicit "Use when..." trigger clause and lacks broad coverage of natural user phrasing, which caps completeness and trigger-term quality at 2.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user wants proof the real surface works, not just unit tests," to raise completeness to 3.

Broaden trigger terms with natural user phrasing such as "verify it works", "check the real CLI/API", or "end-to-end check" to improve trigger_term_quality.

List a couple more concrete actions (e.g. "run the CLI with realistic inputs and capture exit codes and logs") to strengthen specificity.

DimensionReasoningScore

Specificity

Names concrete domains ("real app/API/CLI") and actions ("Exercise", "collect observable evidence"), but does not list multiple specific concrete actions comparable to the score-3 anchor; the second clause is a constraint rather than an action.

2 / 3

Completeness

The "what" is explicit ("Exercise the real app/API/CLI and collect observable evidence"), but there is no "Use when..." clause or equivalent explicit trigger, so completeness is capped at 2 per the judging guidelines.

2 / 3

Trigger Term Quality

Includes relevant terms like "end-to-end verification" and "app/API/CLI", but misses common natural variations a user would say (e.g. "check it works", "make sure it runs", "does it actually work").

2 / 3

Distinctiveness Conflict Risk

The framing carves a clear niche (real-surface end-to-end verification explicitly distinguished from unit tests via "tests alone do not count"), making it unlikely to trigger for the wrong skill.

3 / 3

Total

9

/

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
Hmbown/CodeWhale
Reviewed

Table of Contents

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