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gifgrep

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

Install with Tessl CLI

npx tessl i github:qsimeon/openclaw-engaging --skill gifgrep
What are skills?

76

2.16x

Does it follow best practices?

Evaluation93%

2.16x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

95%

30%

GIF Catalog Audit for Campaign Planning

JSON search output and metadata extraction

Criteria
Without context
With context

Uses gifgrep for search

0%

100%

JSON flag used

0%

100%

Correct JSON fields present

46%

66%

Result count limited

80%

100%

Avoids Giphy without key

100%

100%

Both topics searched

100%

100%

Valid JSON output

100%

100%

commands.sh produced

100%

100%

No large files remain

100%

100%

Without context: $0.7076 · 3m 18s · 31 turns · 36 in / 11,847 out tokens

With context: $0.5408 · 2m 15s · 31 turns · 33 in / 6,614 out tokens

84%

74%

GIF Documentation Assets for a PR Review

Still frame and contact sheet extraction

Criteria
Without context
With context

Uses gifgrep for download

0%

40%

gifgrep still subcommand

0%

100%

Still frame timing flag

0%

100%

gifgrep sheet subcommand

0%

100%

Sheet frame count set

0%

100%

Sheet columns set

0%

100%

Sheet padding set

0%

0%

Output flag used

0%

100%

GIF cleaned up

100%

100%

Without context: $0.5706 · 1m 56s · 32 turns · 39 in / 8,061 out tokens

With context: $0.6173 · 2m 44s · 38 turns · 199 in / 6,792 out tokens

100%

45%

Automated GIF URL Feed for a Content Pipeline

Pipe-friendly URL output and provider selection

Criteria
Without context
With context

Uses gifgrep

0%

100%

Format flag used

0%

100%

Result count limited

0%

100%

Avoids Giphy without key

100%

100%

Multiple topics covered

100%

100%

Output piped correctly

100%

100%

gif_urls.txt populated

100%

100%

No large files remain

100%

100%

Without context: $0.3348 · 1m 30s · 21 turns · 24 in / 4,979 out tokens

With context: $0.3876 · 2m 3s · 25 turns · 184 in / 4,273 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

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