fal-3d

Generate 3D models from text or images via fal.ai. Useful for game assets, AR previews, product mockups, and concept sculpting.

Quality

57%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/fal-3d/SKILL.md

Quality

Content

57%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise and well-structured as a catalogue pointer, but it is not actionable: it defers all operational guidance to an external GitHub repo rather than providing executable steps for generating 3D models.

Suggestions

Replace the URL-open instruction with concrete, executable guidance for the core task (e.g., a minimal fal.ai API call or install command) so the skill is usable without leaving SKILL.md.

Add an explicit validation or verification checkpoint so users can confirm the upstream bundle installed correctly before invoking the skill.

Either inline the key upstream workflow steps or ship the referenced bundle locally so the skill is self-contained rather than purely a pointer.

Dimension	Reasoning	Score
Conciseness	The body is lean and well-organized into short sections without explaining concepts Claude already knows; the only minor redundancy is the verbatim repeat of the description under "What it does."	3 / 3
Actionability	The only "command" is `open https://github.com/fal-ai-community/skills`, and real guidance is deferred to "inspect the upstream README for exact paths," providing no concrete executable steps for the actual 3D-generation task.	1 / 3
Workflow Clarity	A loose sequence exists (install bundle, inspect README, invoke by name), but the real workflow lives in an external repo with no validation checkpoints or self-contained steps.	2 / 3
Progressive Disclosure	The body is a concise overview organized into clear sections with a single clearly-signaled one-level-deep external reference to the upstream repo; no local bundle files are needed.	3 / 3
	Total	9 / 12 Passed

Description

57%

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 clear and well-niched, but uses a single action verb and implied use-case phrasing rather than explicit "Use when..." trigger guidance, capping specificity, trigger quality, and completeness at the middle level.

Suggestions

Add an explicit "Use when..." clause naming natural trigger phrases (e.g., "Use when generating 3D models from text or images, or when the user mentions text-to-3D, image-to-3D, or 3D asset generation") to lift completeness and trigger term quality to 3.

List multiple concrete actions beyond "Generate" (e.g., "generate, refine, and export 3D meshes") to raise specificity to the score-3 anchor.

Embed common natural trigger variations directly in the description text rather than relying only on the separate frontmatter triggers list.

Dimension	Reasoning	Score
Specificity	It names the domain and a concrete action ("Generate 3D models from text or images via fal.ai") plus several use-cases, but relies on a single verb rather than listing multiple specific concrete actions like the score-3 anchor.	2 / 3
Completeness	It clearly answers what ("Generate 3D models from text or images via fal.ai") but offers only an implied "when" via "Useful for..." use-cases rather than an explicit "Use when..." trigger clause, which caps completeness at 2.	2 / 3
Trigger Term Quality	The description includes relevant natural terms ("3D models", "game assets", "AR previews") but lacks comprehensive natural trigger phrasing or common variations within the description text itself.	2 / 3
Distinctiveness Conflict Risk	The 3D-generation-via-fal.ai niche with distinct use-cases (game assets, AR previews, product mockups, concept sculpting) is clearly distinguishable and unlikely to trigger the wrong skill.	3 / 3
	Total	9 / 12 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: nexu-io/open-design
Path: skills/fal-3d/SKILL.md
Commit: f2760fd

Reviewed: about 15 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.