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cli-anything-anygen

Command-line interface for Anygen - A stateful command-line interface for AnyGen OpenAPI — generate professional slides, documents, webs...

58

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./anygen/agent-harness/cli_anything/anygen/skills/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 well-structured, actionable CLI reference with concrete commands and a useful agent-usage checklist. Tightening the redundant Examples section and pointing to real bundle files for detail would improve it.

Suggestions

De-duplicate the Examples section, which repeats 'project new' and REPL invocations already shown under Basic Commands; keep only genuinely distinct examples like a full 'task run' with a natural-language prompt.

Add an explicit error-recovery loop in the agent guidance (e.g. 'on non-zero exit: read stderr, correct the invocation, retry') to reach a 5 on workflow_clarity.

Replace vague doc pointers ('See README.md in the package') with concrete one-level references to actual bundled files, or remove them if no bundle exists.

DimensionReasoningScore

Conciseness

The body is mostly efficient command tables and brief examples, but the Examples section repeats commands already shown under Basic Commands and the 'More Information' section adds little value, so it could be tightened.

3 / 5

Actionability

Provides concrete executable commands (e.g. 'cli-anything-anygen --json project info -p project.json') and a numbered agent-usage checklist, with only minor gaps such as no full end-to-end 'task run' example with a real prompt.

4 / 5

Workflow Clarity

The 'For AI Agents' section gives a clear 5-step sequence including checkpoints ('Verify outputs exist', 'Parse stderr'), but lacks an explicit error-recovery feedback loop, leaving minor validation gaps.

4 / 5

Progressive Disclosure

Sections are well organized (Installation, Usage, Command Groups, Examples, Output Formats, For AI Agents) with one-level references to package docs, but those references are vague ('See README.md in the package') and no bundle files are present.

4 / 5

Total

15

/

20

Passed

Description

66%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 conveys what the CLI generates and is anchored to a specific named product, but it omits explicit trigger guidance for when Claude should reach for it. Adding a 'Use when...' clause would lift completeness and trigger coverage.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user wants to generate slides, documents, websites, or diagrams from natural language via the AnyGen API.'

Include common synonyms and file extensions (presentations, decks, .pptx, .docx) to broaden natural trigger-term coverage.

Lead with the capability ('Generate slides, documents, websites, and diagrams from natural language via the AnyGen CLI') before the product framing to maximize distinctiveness.

DimensionReasoningScore

Specificity

Lists several concrete output types ('generate professional slides, documents, websites, diagrams, and more') rather than vague language, though the action verb is the single generic 'generate'.

4 / 5

Completeness

Clearly states what the tool does ('stateful command-line interface for AnyGen OpenAPI — generate...') but lacks any 'Use when...' trigger clause; 'Designed for AI agents and power users' identifies audience, not when to invoke it, capping completeness at 3.

3 / 5

Trigger Term Quality

Includes natural terms a user would say ('slides, documents, websites, diagrams', 'natural language prompts'), but misses common synonyms and file extensions like decks, presentations, .pptx.

4 / 5

Distinctiveness Conflict Risk

Tying the skill to a named product ('AnyGen OpenAPI') gives it a clear niche with minimal conflict risk, though the broad artifact list leaves minor overlap with general document-generation skills.

4 / 5

Total

15

/

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
HKUDS/CLI-Anything
Reviewed

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