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 bear-notesgit 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/bear-notes)<a href="https://agentmods.dev/skills/the-open-agent/openagent/bear-notes"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/bear-notes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/the-open-agent/openagent/bear-notes"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/bear-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00703 |
| Opus 5.5 | $0.00007 | $0.00281 |
| Sonnet 5.5 | $0.00003 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
bear-notes 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 1mo 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.
This is a copy
100% identical to bear-notes — 14 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bear Notes
Use grizzly to create, read, and manage notes in Bear on macOS.
Requirements
- Bear app installed and running
- For some operations (add-text, tags, open-note --selected), a Bear app token (stored in
~/.config/grizzly/token)
Getting a Bear Token
For operations that require a token (add-text, tags, open-note --selected), you need an authentication token:
- Open Bear → Help → API Token → Copy Token
- Save it:
echo "YOUR_TOKEN" > ~/.config/grizzly/token
Common Commands
Create a note
echo "Note content here" | grizzly create --title "My Note" --tag work
grizzly create --title "Quick Note" --tag inbox < /dev/null
Open/read a note by ID
grizzly open-note --id "NOTE_ID" --enable-callback --json
Append text to a note
echo "Additional content" | grizzly add-text --id "NOTE_ID" --mode append --token-file ~/.config/grizzly/token
List all tags
grizzly tags --enable-callback --json --token-file ~/.config/grizzly/token
Search notes (via open-tag)
grizzly open-tag --name "work" --enable-callback --json
Options
Common flags:
--dry-run— Preview the URL without executing--print-url— Show the x-callback-url--enable-callback— Wait for Bear's response (needed for reading data)--json— Output as JSON (when using callbacks)--token-file PATH— Path to Bear API token file
Configuration
Grizzly reads config from (in priority order):
- CLI flags
- Environment variables (
GRIZZLY_TOKEN_FILE,GRIZZLY_CALLBACK_URL,GRIZZLY_TIMEOUT) .grizzly.tomlin current directory~/.config/grizzly/config.toml
Example ~/.config/grizzly/config.toml:
token_file = "~/.config/grizzly/token"
callback_url = "http://127.0.0.1:42123/success"
timeout = "5s"
Notes
- Bear must be running for commands to work
- Note IDs are Bear's internal identifiers (visible in note info or via callbacks)
- Use
--enable-callbackwhen you need to read data back from Bear - Some operations require a valid token (add-text, tags, open-note --selected)
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.
- 1mo ago First seen · 108 lines · 17 tokens per session scan A 956251b2fca2
bear-notes is a skill published in the GitHub repository the-open-agent/openagent (5,698 stars, last pushed yesterday), licensed Apache-2.0. It adds 17 tokens to every session and 703 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to bear-notes, differing in 14 lines, and is treated as a copy.
Other skills, from other repositories
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.
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.
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.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.
keybindings-help
Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify /.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".