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ip-as-logo

Generate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition. Use when creating an animal, creature, robot, ghost, plant, object, or other character image, including when the agent should infer three product-relevant directions and propose six independent candidates for approval.

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

81%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.

A highly actionable, well-sequenced instruction skill with a complete copy-paste prompt skeleton and explicit decision branches. Its main weakness is token efficiency: the delivery philosophy is stated twice (Workflow steps 12–13 and the Delivery behavior section), and several constraints repeat across sections.

Suggestions

Merge Workflow steps 12–13 into the 'Delivery behavior' section (or vice versa) to remove the near-verbatim duplication of the no-inspection/no-retry/no-post-processing rules, and consolidate the repeated three-color and centering rules into their single canonical sections.

Either reference 'assets/ip-as-logo-wall.webp' from the body (e.g., as a style example near the Shape language section) or remove it from the bundle, so every bundled file is discoverable from SKILL.md.

DimensionReasoningScore

Conciseness

There is no filler or explanation of concepts Claude already knows, but redundancy is systematic: Workflow step 12 ('Do not inspect outputs to block delivery, classify them as recommended or non-recommended, retry them automatically, or repair them with post-processing') restates the Delivery behavior section nearly verbatim ('Do not block delivery, rank candidates as compliant or non-compliant, mark them as recommended or non-recommended, or automatically retry any result... Do not post-process a result'), and the three-color rule and centering prohibitions each appear in multiple sections. Mostly efficient, but it could be meaningfully tightened — anchor 3, not 4, because whole sections are duplicated rather than trimmed.

3 / 5

Actionability

Fully executable guidance: a complete copy-paste prompt skeleton with explicit placeholders ('Background: fill the entire square with solid <background>...'), an exact labeling scheme ('A1, A2, B1, B2, C1, C2' with per-corner assignments), concrete model names (GPT Image 2, Seedance 5.0 Pro, Nano Banana Pro), numeric specs ('4–7 large basic shapes', '1536 × 1536', '85–95% of the canvas'), and a ready negative-prompt payload. Instruction-only skill with copy-paste-ready guidance covering the common cases.

5 / 5

Workflow Clarity

Thirteen explicitly sequenced steps with strong checkpoints: an approval gate ('Do not generate until the user agrees'), a model-availability gate ('If none is available, ask the user to enable a suitable tool or provide its API key'), explicit response-interpretation branches for each user reaction, error-recovery loops (insufficient context → 'one consolidated round of background questions'; weak background separation → 'adjust the subject colors first'), and a post-batch accounting step ('Report every label, IP direction and rationale, assigned corner, saved path, prompt/color mapping, and dimensions'). Post-generation output inspection is deliberately designed out ('Treat generation as a stochastic draw, not a conformance test') — but validation is not missing: pre-flight gates and complete delivery verification are present, so the batch-operation cap does not bind.

5 / 5

Progressive Disclosure

Well-organized section structure (Workflow, Complexity budget, Shape language, Simplicity, Color and canvas, Prompt skeleton, Delivery behavior) with all content used at generation time appropriately inline for a single-purpose skill. Minor gap: the bundle contains 'assets/ip-as-logo-wall.webp' but the body never references it, so navigation to the example asset is missing — anchor 4 ('good structure; most content appropriately placed; minor organization gaps') rather than 5.

4 / 5

Total

17

/

20

Passed

Description

83%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.

A strong description: it states precisely what is generated (with concrete visual specs), when to trigger, and the distinctive propose-three-directions/six-candidates interaction. The main gap is missing common user-facing synonyms like 'mascot' or 'logo' in the trigger clause despite the skill's name.

DimensionReasoningScore

Specificity

Quotes 'Generate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition' plus 'infer three product-relevant directions and propose six independent candidates' — several concrete, precisely specified actions. It falls just short of the anchor-5 'comprehensive coverage' example because the description centers on one generation action with visual attributes rather than enumerating multiple distinct capability actions.

4 / 5

Completeness

Explicitly answers both: what ('Generate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition') and when ('Use when creating an animal, creature, robot, ghost, plant, object, or other character image, including when the agent should infer three product-relevant directions and propose six independent candidates for approval') — concrete trigger phrases in third person, matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

'Use when creating an animal, creature, robot, ghost, plant, object, or other character image' gives good natural subject-term coverage. A few natural phrases users would actually say are missing — 'mascot', 'logo', 'avatar', 'brand character' — notable given the skill is literally named 'IP as Logo', matching anchor 4 ('good keyword coverage; a few natural terms missing') rather than anchor 5's synonym/extension completeness.

4 / 5

Distinctiveness Conflict Risk

The highly specific style constraints (two character colors plus one background color, dominant lower-corner composition, six-candidate batch) create a clear niche distinct from general image-editing skills. However, the open-ended trigger 'or other character image' would also fire on requests for detailed character illustration, leaving minor overlap risk with closely related drawing/illustration skills — anchor 4 rather than 5.

4 / 5

Total

17

/

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

anbeime/skill

Path

skills/ip-as-logo/ip-as-logo/SKILL.md

Reviewed

Table of Contents

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