gifgrep

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

2.16x

Quality

68%

Does it follow best practices?

Impact

93%

2.16x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./openclaw/skills/gifgrep/SKILL.md

Quality

Content

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 strong, concise skill that provides highly actionable CLI examples for the gifgrep tool. Its main weakness is that the multi-step workflow (search → preview → download → extract) is mentioned but not explicitly sequenced with validation steps, which slightly reduces workflow clarity. Overall, it's an efficient reference that respects token budget while covering all key features.

Suggestions

Consider expanding the 'Search → preview → download → extract' workflow into a numbered sequence with explicit validation (e.g., verify download exists before running `gifgrep still`), especially since file operations are involved.

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient. Every line provides actionable CLI commands 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 with specific flags and arguments. The quick start, download, stills/sheets, and output sections all give executable examples that Claude can use directly.	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 clear 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 tool 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

Description

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 identifies a clear niche with specific actions (search, download, extract stills/sheets from GIFs). However, it lacks a 'Use when...' clause, which significantly hurts completeness, and the trigger terms could be more natural and varied to match how users would phrase requests.

Suggestions

Add a 'Use when...' clause with trigger terms like 'search for GIFs', 'download GIF', 'GIF to image', 'sprite sheet', 'animated image'.

Include common GIF provider names (e.g., 'Giphy', 'Tenor') and file extensions (e.g., '.gif') as natural trigger terms users might mention.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: search GIF providers, download results, 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 image', 'giphy', 'tenor', '.gif', or 'sprite sheet'. 'CLI/TUI' is somewhat technical jargon.	2 / 3
Distinctiveness Conflict Risk	The combination of GIF searching, downloading, and still/sheet extraction via CLI/TUI is a very specific niche unlikely to conflict with other skills.	3 / 3
	Total	9 / 12 Passed

Validation

72%

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 — 8 / 11 Passed

Validation for skill structure

Criteria	Description	Result
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: trpc-group/trpc-agent-go
Commit: fc01b4b

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.