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openai-image-gen

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

Quality

67%

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tessl review fix ./openclaw/skills/openai-image-gen/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 lean, accurate, and highly actionable, with executable commands that match the bundled script exactly. Its main weaknesses are the absence of any validation checkpoint for a costly batch operation and a slightly oversized parameter section that could be split into a reference file.

Suggestions

Add a post-run verification step, e.g. 'After generation, confirm prompts.json lists every expected image file before opening index.html', to provide the feedback loop the batch workflow currently lacks.

Fix the ambiguous gallery-open line to match the script's actual default output path (./tmp/openai-image-gen-*/index.html) instead of the host-specific ~/Projects/tmp variant.

Move the model-specific size/quality/parameter tables into a references/model-params.md file and link to it from SKILL.md, trimming the body toward a leaner overview and removing the duplication between the intro sentence and the Default lines.

DimensionReasoningScore

Conciseness

The body is efficient with no conceptual padding and every section earns its place, but minor redundancy exists: per-model default values duplicate what the script's argparse help encodes, and 'The script automatically selects appropriate defaults based on the model' repeats the Default lines in the tables.

4 / 5

Actionability

Commands are fully executable and verified against the script's actual flags (--count, --model, --size, --quality, --background, --output-format, --style, --out-dir), with examples covering the common cases. One minor gap: the gallery-open line 'open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/...' is host-specific and ambiguous (the script's actual default is ./tmp/...), so it is not copy-paste ready.

4 / 5

Workflow Clarity

A simple skill with an unambiguous run command, but it is a batch operation (default --count 8 paid API calls) with no validation or verification step — e.g., checking prompts.json and the generated image files exist before opening the gallery. Per the rubric, missing validation in batch operations caps workflow clarity at 3 even for single-purpose skills.

3 / 5

Progressive Disclosure

Well-organized sections (Run, Model-Specific Parameters, Output) and the single bundle reference '{baseDir}/scripts/gen.py' is a real file with matching flags; no nested references. Not 5: the ~70-line body includes model-specific parameter detail that could live in a references/ file to keep SKILL.md a leaner overview, and the body exceeds the under-50-line simple-skill threshold.

4 / 5

Total

15

/

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 is concise and names a clear niche with two to three concrete capabilities, but it entirely lacks a 'when to use' trigger clause and misses natural trigger terms like DALL-E. It is serviceable but below the quality of the reference examples.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks to generate, create, or batch-produce images via OpenAI (DALL-E or gpt-image models), or wants an image gallery from prompts.'

Include natural synonyms users would say — 'DALL-E', 'gpt-image', 'create/make images', 'picture' — to improve trigger term coverage.

Briefly enumerate one or two more concrete capabilities (e.g., model/size/quality/format options) to raise specificity from 1-2 actions toward comprehensive coverage.

DimensionReasoningScore

Specificity

Quotes 'Batch-generate images', 'Random prompt sampler', 'index.html gallery' — the domain plus two to three concrete actions, but a single sentence omits the skill's broader capability surface (models, sizes, quality, output formats), so coverage is not comprehensive.

3 / 5

Completeness

Has a clear 'what' ('Batch-generate images via OpenAI Images API') but no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

'generate images', 'OpenAI Images API', and 'batch' are relevant keywords, but common user variations are missing — notably 'DALL-E' (a model the skill supports), 'create/make an image', or 'picture'. Fits 'some relevant keywords but missing common variations or synonyms' rather than anchor 4.

3 / 5

Distinctiveness Conflict Risk

'OpenAI Images API' pins a clear, distinct niche with only minor overlap risk against generic image-generation skills. Not 5: without an explicit trigger phrase, the generic word 'images' could still collide with other image skills.

4 / 5

Total

13

/

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.

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

13

/

16

Passed

Repository

trpc-group/trpc-agent-go

Path

openclaw/skills/openai-image-gen/SKILL.md

Reviewed

Table of Contents

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