bear-notes
Skill1 starsChanged 8 months agoMITView on GitHub
Create, search, and manage Bear notes via grizzly CLI.
We split this skill into the rules it gives an agent
3 rules. 1 is common, 0 are distinctive, and 2 are very specific to this project.
1
Common
Most of the 20 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 28
Use grizzly to create, read, and manage notes in Bear on macOS.
- Common: line 69
Search notes (via open-tag)
- Very specific: line 106
Use --enable-callback when you need to read data back from Bear
“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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/nullOpen/read a note by ID
grizzly open-note --id "NOTE_ID" --enable-callback --jsonAppend text to a note
echo "Additional content" | grizzly add-text --id "NOTE_ID" --mode append --token-file ~/.config/grizzly/tokenList all tags
grizzly tags --enable-callback --json --token-file ~/.config/grizzly/tokenSearch notes (via open-tag)
grizzly open-tag --name "work" --enable-callback --jsonOptions
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)
Other versions32 projects use a version of this.
Word for word · 12
- casibase/casibase★ 5.7k100% same
- the-open-agent/openagent★ 5.7k100% same
- linuxhsj/openclaw-zero-token★ 5.2k100% same
- OpenBMB/EdgeClaw★ 1.2k100% same
- AtomicBot-ai/atomicbot★ 325100% same
- luolin-ai/openclawWeComzh★ 108100% same
- TermiX-official/cryptoclaw★ 100100% same
- yunze7373/openclaw-termux★ 2100% same
- AnasNafees1802/BabyClaw★ 1100% same
- jpoindexter/theft-kit★ 1100% same
2 more not listed
Edited · 19
- moltbot/moltbot★ 393k100% same
- clawdbot/clawdbot★ 393k100% same
- steipete/warelay★ 392k100% same
- moltbot/clawdbot★ 392k100% same
- steipete/clawdis★ 392k100% same
- molt-bot/clawdbot★ 391k100% same
- openclaw/openclaw★ 391k100% same
- spinabot/brigade★ 11k99% same
- OpenBMB/PilotDeck★ 4.5k89% same
- Bitterbot-AI/bitterbot-desktop★ 2.5k99% same
9 more not listed
Wrote their own version · 1
- claude-world/claude-agent★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use taskflow-inbox-triage, taskflow and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AtomicBot-aiSkilltaskflow-inbox-triage
Also in 5 projects that use this
AtomicBot-aiSkilltaskflow
Also in 5 projects that use this
emanueleieloSkillsonos
Control Sonos speakers: discover, play/pause, volume, grouping, favorites, and queue management via sonos CLI.
Also in 3 projects that use this
In this repository59 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- docs/llms.txtllms.txt
- openclaw-ghsa-maintainerSkill
- openclaw-parallels-smokeSkill
- openclaw-pr-maintainerSkill
- openclaw-release-maintainerSkill
- parallels-discord-roundtripSkill
- 1passwordSkill
- apple-notesSkill
- apple-remindersSkill
- blogwatcherSkill
- blucliSkill
- bluebubblesSkill
- camsnapSkill
- canvasSkill
- clawhubSkill
- coding-agentSkill
- discordSkill
- eightctlSkill
- geminiSkill
- gh-issuesSkill
- gifgrepSkill
- githubSkill
- gogSkill
- goplacesSkill
- healthcheckSkill
- himalayaSkill
- imsgSkill
- mcporterSkill
- model-usageSkill
- nano-pdfSkill
- node-connectSkill
- notionSkill
- obsidianSkill
- openai-image-genSkill
- openai-whisper-apiSkill
- openai-whisperSkill
- openhueSkill
- oracleSkill
- ordercliSkill
- peekabooSkill
- sagSkill
- session-logsSkill
- sherpa-onnx-ttsSkill
- skill-creatorSkill
- slackSkill
- songseeSkill
- sonoscliSkill
- spotify-playerSkill
- summarizeSkill
- things-macSkill
- tmuxSkill
- trelloSkill
- video-framesSkill
- voice-callSkill
- wacliSkill
- weatherSkill
- xurlSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

