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gifgrep

Search GIF providers with CLI/TUI, download results, and extract stills/sheets.

76

2.16x
Quality

68%

Does it follow best practices?

Impact

93%

2.16x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/gifgrep/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

50%

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 concise and names specific concrete actions in a clear niche (GIF search and processing via CLI/TUI), making it distinctive. However, it completely lacks a 'Use when...' clause, which significantly hurts completeness and makes it harder for Claude to know when to select this skill. Trigger terms could also be expanded to cover more natural user language.

Suggestions

Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user wants to search for GIFs, download animated images, extract frames or sprite sheets from GIFs.'

Include common natural trigger terms and variations such as 'animated images', '.gif', 'giphy', 'tenor', 'frame extraction', 'sprite sheet' to improve keyword coverage.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: search GIF providers, download results, and extract stills/sheets. Also mentions CLI/TUI as the interface, adding specificity.

3 / 3

Completeness

Describes what the skill does but has no 'Use when...' clause or equivalent explicit trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and since the 'when' is entirely absent, this scores a 1.

1 / 3

Trigger Term Quality

Includes relevant terms like 'GIF', 'CLI/TUI', 'download', 'stills', 'sheets', but misses common user variations like 'animated images', '.gif files', 'sprite sheet', 'giphy', 'tenor', or 'frame extraction'.

2 / 3

Distinctiveness Conflict Risk

The combination of GIF searching, downloading, and still/sheet extraction via CLI/TUI is a very specific niche that is unlikely to conflict with other skills.

3 / 3

Total

9

/

12

Passed

Implementation

87%

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

This is a well-crafted, concise skill that provides highly actionable CLI examples organized into logical sections. Its main weakness is the lack of a clearly sequenced workflow with validation steps—the 'search → preview → download → extract' pipeline is mentioned but not walked through as an explicit multi-step process with checkpoints. Overall, it's an effective reference for using gifgrep.

Suggestions

Expand the 'Search → preview → download → extract' workflow into a numbered step-by-step sequence with explicit validation (e.g., verify download exists before running `gifgrep still`)

DimensionReasoningScore

Conciseness

The content is lean and efficient. Every line provides actionable command examples or essential configuration details. No unnecessary explanations of what GIFs are or how CLI tools work—it assumes Claude's competence throughout.

3 / 3

Actionability

Nearly every section provides concrete, copy-paste-ready commands. The quick start, download, stills/sheets, and provider sections all give specific CLI invocations with real flags and arguments that are immediately executable.

3 / 3

Workflow Clarity

The opening line mentions a 'Search → preview → download → extract' workflow, but the steps aren't sequenced with explicit validation checkpoints. The sections are organized by feature rather than as a guided multi-step process, and there's no error handling or verification guidance (e.g., checking if download succeeded before extracting stills).

2 / 3

Progressive Disclosure

For a simple, single-purpose CLI skill under 50 lines with no bundle files, the content is well-organized into clearly labeled sections (Quick start, TUI, Download, Stills, Providers, Output, Environment). No external references are needed and the structure supports easy scanning.

3 / 3

Total

11

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

8

/

11

Passed

Repository
qsimeon/openclaw-engaging
Reviewed

Table of Contents

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