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image-generation

Generate images and iteratively edit saved image artifacts.

58

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./nanobot/skills/image-generation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

78%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 lean, actionable, and well-structured for a simple tool-driving skill, with concrete examples and clear sequencing. The only meaningful gap is the absent explicit validation/feedback step and a described-but-not-shown message-tool delivery example.

DimensionReasoningScore

Conciseness

The body is efficient and assumes Claude's competence (tool invocation, prompt structure) with only minor trimmable explanation such as the natural-reply example; it does not reach 5 because a few guidance lines slightly over-explain.

4 / 5

Actionability

Two complete, copy-paste-ready generate_image calls with concrete parameters cover the common generate and edit cases, but the message-tool delivery step is only described rather than shown, leaving a minor gap versus the 5 anchor.

4 / 5

Workflow Clarity

A clear sequence runs from trigger detection through prompt construction, generation, and media delivery, with iterative-edit handling specified; image generation is not destructive/batch so the 3-cap does not apply, and it falls short of 5 only because explicit validation checkpoints are absent.

4 / 5

Progressive Disclosure

This is a simple single-purpose skill with well-organized sections (When To Use, Prompt Rules, Artifact Rules, Examples), no nested references, and no bundle files requiring external pointers, so well-structured inline content fully satisfies the anchor.

5 / 5

Total

17

/

20

Passed

Description

53%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 purpose and niche but omits any explicit 'when to use' trigger guidance, which caps completeness and limits trigger-term coverage. Adding a 'Use when...' clause with natural synonyms would lift the weakest dimensions.

Suggestions

Append a 'Use when...' clause listing natural user triggers (e.g., create, draw, render, design, or edit an image) to satisfy completeness and trigger-term quality.

Include synonyms and a format cue (e.g., 'generate or edit images, including .png/.jpg artifacts') to broaden trigger-term coverage toward the 5 anchor.

Name a couple more concrete capabilities (e.g., text-to-image, reference-image editing) to raise specificity from 3 to 4.

DimensionReasoningScore

Specificity

Names the image domain plus two concrete actions ('Generate images' and 'iteratively edit saved image artifacts'), matching the 1-2 concrete actions anchor; it is not a 4 because no additional specific actions are enumerated.

3 / 5

Completeness

There is a clear 'what' ('Generate images and iteratively edit saved image artifacts') but no 'Use when...' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

'images' and 'edit' are natural terms, but common variations users would say ('create', 'draw', 'render', 'design') and any format cues are missing, fitting the some-keywords-but-missing-synonyms anchor rather than the 4-level broad coverage.

3 / 5

Distinctiveness Conflict Risk

Image generation/editing is a clear niche with only minor overlap risk against closely related media skills; it is not a 5 because the description lacks explicit trigger phrases that would fully distinguish it.

4 / 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
HKUDS/nanobot
Reviewed

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