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 agentmods add skills/the-open-agent/openagent/waclinpx skills add the-open-agent/openagent --skill wacligit 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/wacli)<a href="https://agentmods.dev/skills/the-open-agent/openagent/wacli"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/wacli.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 | $0.00025 | $0.00443 |
| Opus 5 | $0.00013 | $0.00221 |
| Sonnet 5 | $0.00005 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
wacli 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 5d 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.
What it actually says
wacli
Use wacli when the user asks you to message someone on WhatsApp or to sync/search WhatsApp history.
Safety
- Require explicit recipient + message text.
- Confirm recipient + message before sending.
- If anything is ambiguous, ask a clarifying question.
Auth + sync
wacli auth(QR login + initial sync)wacli sync --follow(continuous sync)wacli doctor
Find chats + messages
wacli chats list --limit 20 --query "name or number"wacli messages search "query" --limit 20 --chat <jid>wacli messages search "invoice" --after 2025-01-01 --before 2025-12-31
History backfill
wacli history backfill --chat <jid> --requests 2 --count 50
Send
- Text:
wacli send text --to "+14155551212" --message "Hello! Are you free at 3pm?" - Group:
wacli send text --to "[email protected]" --message "Running 5 min late." - File:
wacli send file --to "+14155551212" --file /path/agenda.pdf --caption "Agenda"
Notes
- Store dir:
~/.wacli(override with--store). - Use
--jsonfor machine-readable output when parsing. - Backfill requires your phone online; results are best-effort.
- JIDs: direct chats look like
<number>@s.whatsapp.net; groups look like<id>@g.us(usewacli chats listto find).
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.
- 5d ago First seen · 50 lines · 25 tokens per session scan A 26b7f481fd1a
wacli is a skill published in the GitHub repository the-open-agent/openagent (5,602 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 443 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
greeting-user
Explains how to properly greet the user.
using-process-tool
Describes how to correctly use 'process' tool.
test-skill
test description.
cherry-pick-pro
Cherry-pick commits from chatbox-pro repo to the open chatbox repo, handling mobile-only files, package name differences, and other repo-specific exclusions.
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.