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fal-upscale

Upscale and enhance image and video resolution using AI super-resolution models hosted on fal.ai.

49

Quality

54%

Does it follow best practices?

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SecuritybySnyk

Passed

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

Quality

Content

47%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 a lean, well-structured catalogue entry that cleanly points to an upstream bundle, but it provides almost no actionable or sequenced guidance for performing the actual upscaling task, relying entirely on the external repo.

Suggestions

Add concrete, executable guidance for the core task: a fal.ai model ID or endpoint, a sample invocation command, or the exact upstream path(s) to install so Claude can act without browsing the repo.

Turn the "How to use" section into an explicit numbered sequence with the install location and an invocation example, replacing the high-level 'inspect the upstream README' instruction.

Reduce redundancy by removing or condensing the 'What it does' section, which repeats the frontmatter description verbatim.

DimensionReasoningScore

Conciseness

The body is short and lean with little over-explanation; the only trim is the "What it does" section duplicating the frontmatter description verbatim, keeping it just below a 5.

4 / 5

Actionability

The only concrete command is `open https://github.com/...` (which opens a webpage); the actual guidance is high-level ("inspect the upstream README", "install the upstream bundle") with no executable upscaling steps, model IDs, or API calls.

2 / 5

Workflow Clarity

A rough sequence exists (inspect README, install bundle, invoke by name/trigger) but steps are poorly defined with no specifics on installation paths or commands, and no checkpoints.

2 / 5

Progressive Disclosure

Under 50 lines with clean sections (What it does, Source, How to use) and a single clearly-signaled one-level reference to the upstream repo; not a 5 because the body could note which upstream paths to look for.

4 / 5

Total

12

/

20

Passed

Description

61%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 clearly states what the skill does with concrete verbs and a distinct fal.ai niche, but omits any explicit "Use when..." trigger guidance, capping completeness. Trigger-term coverage is good though not exhaustive.

DimensionReasoningScore

Specificity

Names the domain ("image and video resolution") with two concrete actions ("Upscale and enhance") and the mechanism ("AI super-resolution models hosted on fal.ai"), matching the anchor for 1-2 concrete actions without being comprehensive.

3 / 5

Completeness

Has a clear "what" but no "Use when..." clause or explicit trigger guidance, so per the guideline completeness is capped at 3.

3 / 5

Trigger Term Quality

Contains natural terms users would say ("Upscale", "enhance", "resolution", "super resolution", "image", "video") with good coverage; not a 5 because common variants like "4k", "HD", and file extensions are absent.

4 / 5

Distinctiveness Conflict Risk

The fal.ai super-resolution niche is mostly distinct with minor overlap risk against generic image-enhancement skills; not a 5 because "enhance resolution" is broad enough to overlap with other image tools.

4 / 5

Total

14

/

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
nexu-io/open-design
Reviewed

Table of Contents

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