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fal-realtime

Real-time and streaming AI image generation via fal.ai. Suited for moodboard exploration, draft variations, and rapid creative iteration.

51

Quality

64%

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/fal-realtime/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

43%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.

This is a lean catalog stub that advertises the skill and points to an upstream repo, but it provides almost no executable guidance — the install step is a hand-wave with no commands and no verification. As a result it functions as an advertisement rather than a usable skill body.

Suggestions

Replace the vague install instruction with concrete commands (e.g., 'git clone https://github.com/fal-ai-community/skills <skills-dir>/fal-realtime') and the exact target path.

Add a validation step after install, such as listing the installed bundle or confirming the skill is discoverable by name 'fal-realtime', before telling the agent to invoke it.

Inline the minimal usage essentials (how to call the fal.ai realtime endpoint or one working example) instead of deferring everything to the external repo.

DimensionReasoningScore

Conciseness

The body is short and free of padded explanation, but it repeats the frontmatter description verbatim in 'What it does' and re-states the upstream URL and category already in the frontmatter — minor redundancy that could be trimmed.

4 / 5

Actionability

The only guidance is high-level: 'install the upstream bundle into your active agent's skills directory' with no clone command, path, or verification, and the sole code block contains just a comment and 'open https://github.com/fal-ai-community/skills'.

2 / 5

Workflow Clarity

A rough sequence is implied (inspect upstream README, install bundle, invoke by name or trigger), but the critical install step is undefined and there is no validation that the skill was installed or works.

2 / 5

Progressive Disclosure

Sections (What it does, Source, How to use) are well-organized for a short file, but no local bundle files exist and all substantive content is deferred to an external URL rather than well-signaled local references.

3 / 5

Total

11

/

20

Passed

Description

70%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 concise, third-person description that clearly states what the skill does and its use contexts with natural trigger terms. Its main gaps are the absence of an explicit 'Use when...' clause and a thin set of concrete capability verbs.

Suggestions

Add an explicit 'Use when...' clause (e.g., 'Use when the user mentions real-time image generation, streaming image gen, fal.ai, or moodboards') to raise completeness.

Include one or two more concrete capability verbs (e.g., 'iterate on prompts live' or 'render moodboard tiles from reference images') to strengthen specificity.

DimensionReasoningScore

Specificity

Names the domain ('Real-time and streaming AI image generation via fal.ai') and one concrete action (image generation), but 'moodboard exploration, draft variations, and rapid creative iteration' are use-contexts rather than additional concrete actions, so coverage is not comprehensive.

3 / 5

Completeness

The 'what' is clear ('Real-time and streaming AI image generation via fal.ai') and the 'when' is present ('Suited for moodboard exploration, draft variations, and rapid creative iteration'), but it lacks an explicit 'Use when...' clause, so it sits below the level-5 anchor.

4 / 5

Trigger Term Quality

'real-time', 'streaming image', and 'moodboard' are natural phrases a user would say, giving good keyword coverage, but common synonyms ('live image gen', 'fal') and extensions are missing.

4 / 5

Distinctiveness Conflict Risk

The fal.ai-specific, real-time/streaming niche is mostly distinct with clear triggers, though it could still overlap with general image-generation skills.

4 / 5

Total

15

/

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.

Validation — 15 / 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

nexu-io/open-design

Path

skills/fal-realtime/SKILL.md

Reviewed

Table of Contents

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