OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
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.
npx skills add the-open-agent/openagent --skill gifgrepgit clone --depth 1 https://github.com/the-open-agent/openagentWrote 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.
[](https://agentmods.dev/skills/the-open-agent/openagent/gifgrep)<a href="https://agentmods.dev/skills/the-open-agent/openagent/gifgrep"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/gifgrep.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once 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 |
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 7d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
- gifgrep — 100% identical, 0 lines differ
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 5gifgrep cats --format url | head -n 5gifgrep 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
--downloadsaves to~/Downloads--revealshows the last download in Finder
Stills + sheets
gifgrep still ./clip.gif --at 1.5s -o still.pnggifgrep 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|giphyGIPHY_API_KEYrequired for--source giphyTENOR_API_KEYoptional (Tenor demo key used if unset)
Output
--jsonprints an array of results (id,title,url,preview_url,tags,width,height)--formatfor pipe-friendly fields (e.g.,url)
Environment tweaks
GIFGREP_SOFTWARE_ANIM=1to force software animationGIFGREP_CELL_ASPECT=0.5to tweak preview geometry
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.
- 7d ago First seen · 80 lines · 21 tokens per session scan A 3445f7eeed1b
gifgrep is a skill published in the GitHub repository the-open-agent/openagent (5,603 stars, last pushed today), licensed Apache-2.0. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
pptx
Create and validate Microsoft PowerPoint presentations (.pptx), including structured slide decks, tables, workflows, metadata, and reproducible generation scripts. Use for presentation, slides, PowerPoint, PPT, or PPTX creation and verification tasks.
documents
Create, read, edit, review, comment on, sanitize, render, and validate Microsoft Word DOCX documents. Use whenever a DOCX or Word document is a primary input or deliverable, including reports, proposals, forms, templates, tracked revisions, comments, tables, images, headers, footers, and style-preserving edits.
Read, create, inspect, merge, split, rotate, encrypt, fill, and validate PDF files. Use when the user asks to work with a PDF or convert supported Markdown into a polished PDF in AstrBot.
skill-creator
Create, revise, and validate AstrBot Skills built around SKILL.md instruction bundles. Use when the user asks to create, scaffold, improve, package, or review a Skill for an AstrBot workspace, local installation, or plugin.
spreadsheets
Create, read, edit, analyze, convert, chart, and validate spreadsheet files including XLSX, XLSM, XLS, CSV, and TSV. Use when a spreadsheet is a primary input or deliverable, or when tabular data must remain editable and auditable in workbook form.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.