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skill-creator

To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards.

49

Quality

55%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/skill-creator/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

52%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 body is well-sequenced with executable bash and validation checkpoints, but it is padded with repeated decorative progress art and — more seriously — documents a bundle layout that does not match the real files, undermining progressive disclosure and navigation.

Suggestions

Reconcile the 'Bundled Resources' section with the actual bundle: reference the real files (references/output-patterns.md, references/workflows.md, scripts/init_skill.py, package_skill.py, quick_validate.py) and remove or create the nonexistent ones.

Collapse the six duplicated ASCII progress-box blocks into a single reusable template referenced once, cutting significant token padding.

Replace invocations of missing scripts (validate-skill-yaml.sh, validate-skill-content.sh) with the bundled scripts/quick_validate.py, or add the referenced scripts to the bundle.

DimensionReasoningScore

Conciseness

The body is noticeably verbose: large decorative ASCII progress-box art is duplicated once per phase (six near-identical boxes) plus repeated one-line progress bars, adding substantial padding with little instructional value beyond the first instance.

2 / 5

Actionability

Concrete, mostly executable bash is provided throughout (mkdir, sed substitution, ln -sf symlinks, git config extraction), with only minor gaps such as references to template paths not present in the bundle.

4 / 5

Workflow Clarity

A clear Step 0 + Phase 1–6 sequence with an explicit validation phase and feedback loops (validation failure → auto-fix → retry) is present; held below 5 because the validation scripts invoked (validate-skill-yaml.sh, validate-skill-content.sh) do not exist in the bundle.

4 / 5

Progressive Disclosure

The 'Bundled Resources' section lists reference, example, and script files that do not exist, while the actual bundle (output-patterns.md, workflows.md, init_skill.py, etc.) is never referenced, breaking navigation; additionally large display/standards content that belongs in references is inlined.

2 / 5

Total

12

/

20

Passed

Description

58%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 clearly communicates a distinct purpose (automated CLI skill scaffolding) and enumerates several capabilities, but it omits any explicit 'when to use' trigger guidance, capping completeness and limiting trigger-term quality.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user asks to create, scaffold, or generate a new CLI skill, or to package domain knowledge into a skill.'

Add natural synonyms users would actually say ('make a skill', 'build a skill', 'scaffold a skill') to broaden trigger coverage.

Tighten 'brainstorming, template application, validation, and installation processes' toward concrete operations so capabilities read as actions rather than process labels.

DimensionReasoningScore

Specificity

Lists several concrete actions — "automates brainstorming, template application, validation, and installation processes" — but they are process-level abstractions rather than the crisp concrete operations of the score-5 anchor, so it sits just below it.

4 / 5

Completeness

The 'what' is clearly stated (creating and automating skill scaffolding), but there is no 'Use when...' or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

"create new CLI skills" and "skill creation" are relevant, but natural synonyms like "make/build/scaffold a skill" are absent and there is no trigger-phrase clause, so coverage is partial rather than comprehensive.

3 / 5

Distinctiveness Conflict Risk

The skill-creation meta-niche is clearly distinct from ordinary utility skills, but the absence of explicit triggers leaves minor overlap risk with general scaffolding/automation skills, placing it just below the score-5 anchor.

4 / 5

Total

14

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (591 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

13

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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