Name: fal-image-edit
Rating: 39.2 (1 reviews)
Author: administrakt0r

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fal-image-edit

AI-powered image editing with style transfer and object removal

Quality

38%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/fal-image-edit/SKILL.md

The canonical home for this skill is fal-image-edit in administrakt0r/AI-Agents-Safe-Coding-Skills

Quality

Content

22%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 body is essentially a hollow stub: it restates the description three times and links to an external repo without providing any concrete instructions, code, workflow, or validation. It is too short to be verbose but offers no actionable guidance, which drives actionability and workflow clarity to the floor.

Suggestions

Replace the restated description with concrete, executable guidance: example API calls or commands for style transfer and object removal, plus input/output expectations.

Add a short sequenced workflow with a validation checkpoint (e.g. verify the output image dimensions/content before returning it) given the potentially destructive nature of image edits.

Move detailed material into real bundle files under references/ and link to them with clearly signaled one-level-deep references, instead of relying on an external GitHub URL.

Dimension	Reasoning	Score
Conciseness	The body is short and free of concept over-explanation, but the same descriptive sentence is repeated nearly verbatim across Overview, When-to-Use, and Instructions, which is redundant and could be tightened, matching score 3.	3 / 5
Actionability	The Instructions section only restates the description ('provides guidance and patterns for...') with no code, commands, or concrete steps, matching the entirely-vague score-1 anchor.	1 / 5
Workflow Clarity	There is no step sequence and no validation for image-mutating operations (style transfer, object removal), matching score 1 (steps missing or incoherent; no validation for risky operations).	1 / 5
Progressive Disclosure	Section headers exist but hold no substantive content to distribute, no bundle files are present, and the only reference is an external URL rather than a structured bundle, fitting the some-structure-but-not-well-organized score-3 anchor.	3 / 5
	Total	8 / 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 reasonably specific and distinct but stops short of strong trigger-term coverage and omits any explicit 'when to use' guidance, capping it at a mid-range score. Adding natural user phrasings and a concrete 'Use when...' clause would lift completeness and trigger quality.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user wants to change an image's style or remove unwanted objects from a photo.'

Include natural phrasings users actually say and file extensions (e.g. 'remove object from photo', 'change image style', .png, .jpg) to broaden trigger-term coverage.

Optionally name one or two more concrete actions (e.g. inpainting, background removal) to move specificity toward comprehensive coverage.

Dimension	Reasoning	Score
Specificity	Names the domain ('image editing') and two concrete capabilities ('style transfer', 'object removal'), matching the score-3 anchor of domain plus 1-2 concrete actions; it is not a 4 because coverage is limited to only two actions with no broader capability list.	3 / 5
Completeness	It gives a clear 'what' but no 'Use when...' trigger clause, so per the rubric a missing explicit-when caps completeness at 3.	3 / 5
Trigger Term Quality	Terms like 'image editing', 'style transfer', and 'object removal' are domain-relevant but lean technical, missing natural user phrasings and file extensions (.png, .jpg), fitting score 3 (some relevant keywords, missing synonyms/variations).	3 / 5
Distinctiveness Conflict Risk	The named capabilities carve out a fairly specific niche with only minor overlap risk against broader image-generation/editing skills, matching the mostly-distinct score-4 anchor.	4 / 5
	Total	13 / 20 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: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: plugins/AI-Agents-Safe-Coding-Skills/skills/fal-image-edit/SKILL.md
Commit: 57c135b

Reviewed: 3 days ago

Table of Contents

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