gifgrep

gifgrep is a skill for Claude Code, Codex from deepgram/dglabs-deepclaw. It costs 21 tokens per session (616 once invoked), scanned A, a copy of gifgrep, MIT.

A command-line tool for searching GIF services such as Tenor and GIPHY, previewing results, downloading GIFs, and making still images or frame-grid sheets from them.

In plain words
What is it for?
Use it to search GIFs, browse previews, download files, extract a frame at a chosen time, and create a PNG sheet from sampled frames.
Why use it?
It shortens the process of finding a suitable animated image and reviewing its frames. JSON output and image sheets also make results easier to use in scripts, documents, pull requests, or chat.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to search GIFs, browse previews, download files, extract a frame at a chosen time, and create a PNG sheet from sampled frames.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deepgram/dglabs-deepclaw/gifgrep
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add deepgram/dglabs-deepclaw --skill gifgrep
Clone the repo
git clone --depth 1 https://github.com/deepgram/dglabs-deepclaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gifgrep

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/gifgrep.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/gifgrep)
Your own site
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/gifgrep"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/gifgrep.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 616 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00616
Opus 5 $0.00010 $0.00308
Sonnet 5 $0.00004 $0.00123
Haiku 4.5 $0.00002 $0.00062

Measured 8d ago against content hash 3445f7eeed1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

gifgrep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to gifgrep — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/gifgrep/SKILL.md · 80 lines

What it actually says

gifgrep

Use gifgrep to search GIF providers (Tenor/Giphy), browse in a TUI, download results, and extract stills or sheets.

GIF-Grab (gifgrep workflow)

  • Search → preview → download → extract (still/sheet) for fast review and sharing.

Quick start

  • gifgrep cats --max 5
  • gifgrep cats --format url | head -n 5
  • gifgrep search --json cats | jq '.[0].url'
  • gifgrep tui "office handshake"
  • gifgrep cats --download --max 1 --format url

TUI + previews

  • TUI: gifgrep tui "query"
  • CLI still previews: --thumbs (Kitty/Ghostty only; still frame)

Download + reveal

  • --download saves to ~/Downloads
  • --reveal shows the last download in Finder

Stills + sheets

  • gifgrep still ./clip.gif --at 1.5s -o still.png
  • gifgrep sheet ./clip.gif --frames 9 --cols 3 -o sheet.png
  • Sheets = single PNG grid of sampled frames (great for quick review, docs, PRs, chat).
  • Tune: --frames (count), --cols (grid width), --padding (spacing).

Providers

  • --source auto|tenor|giphy
  • GIPHY_API_KEY required for --source giphy
  • TENOR_API_KEY optional (Tenor demo key used if unset)

Output

  • --json prints an array of results (id, title, url, preview_url, tags, width, height)
  • --format for pipe-friendly fields (e.g., url)

Environment tweaks

  • GIFGREP_SOFTWARE_ANIM=1 to force software animation
  • GIFGREP_CELL_ASPECT=0.5 to tweak preview geometry
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 80 lines · 21 tokens per session scan A 3445f7eeed1b

Subscribe to this mod's changes

gifgrep is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 616 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gifgrep, differing in 0 lines, and is treated as a copy.

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