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fal-workflow

Generate workflow JSON files for chaining AI models

36

Quality

34%

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SecuritybySnyk

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

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

SKILL.md
Quality
Evals
Security

Quality

Content

15%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 essentially padded repetition of the description with no concrete guidance, executable examples, or workflow steps. It functions only as a stub linking to an external repository rather than as a usable skill.

Suggestions

Replace the repeated description with concrete guidance: the workflow JSON schema, a copy-pasteable example, and the fal CLI/API commands to generate and run it.

Add a numbered workflow with validation (e.g. validate the JSON against the schema before running) since generating and chaining models is a multi-step operation.

Either inline a minimal quick-start or create real bundle files (e.g. references/EXAMPLES.md) referenced one level deep, instead of only linking to an external repo.

DimensionReasoningScore

Conciseness

The body restates "generate workflow json files for chaining ai models" verbatim three times across Overview, When to Use, and Instructions with no added value, matching the score-2 anchor of padded, unnecessary sections; it is short in tokens but empty of content.

2 / 5

Actionability

"This skill provides guidance and patterns for..." is entirely abstract with no concrete code, commands, format details, or examples, matching the score-1 anchor of describing rather than instructing.

1 / 5

Workflow Clarity

There are no steps, no sequence, and no validation checkpoints for what could be a multi-step JSON-generation task, matching the score-1 anchor of steps missing or incoherent.

1 / 5

Progressive Disclosure

Section headers (Overview, When to Use, Instructions) provide some structure and the only reference is a one-level external repo link, but there are no bundle files and no meaningful content split, matching the score-3 anchor of some structure with weakly signaled references.

3 / 5

Total

7

/

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 specific to its niche and clearly states what the skill does, but it lacks any explicit 'when to use' trigger guidance and offers only a single concrete action. It is adequate but not exemplary.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger phrases users would say (e.g. fal workflows, chaining AI models, AI pipelines).

List additional concrete actions beyond 'generate' (e.g. validate, edit, debug workflow JSON) to broaden coverage.

Include common synonyms and the file extension (e.g. .json workflow, fal.ai) to improve trigger term quality.

DimensionReasoningScore

Specificity

"Generate workflow JSON files for chaining AI models" names the domain (workflow JSON, AI model chaining) and one concrete action (generate); matches the score-3 anchor of naming a domain with 1-2 concrete actions, falling short of 4 which requires several specific actions.

3 / 5

Completeness

It clearly states what the skill does but provides no "Use when..." trigger guidance, matching the score-3 anchor of a clear 'what' with missing 'when'; per the judging guideline a missing 'Use when' clause caps completeness at 3.

3 / 5

Trigger Term Quality

Terms like "workflow JSON files" and "chaining AI models" are relevant but somewhat technical and miss common variations/synonyms (e.g. fal, AI pipeline, model orchestration), matching the score-3 anchor rather than the more complete coverage of 4.

3 / 5

Distinctiveness Conflict Risk

"Generate workflow JSON files for chaining AI models" carves a fairly distinct niche with low conflict risk, though it could overlap slightly with general AI orchestration/automation skills, placing it at 4 rather than the clearly-distinct 5.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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
Reviewed

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