Overview

Local automation interface for creating, reading, searching, and updating Bear notes on macOS using the `grizzly` CLI and Bear’s x-callback-url API.

Key Advantages

1.Tight integration with Bear on macOS using the official x-callback-url API.

2.Covers key workflows: create notes, append text, open/read notes, list tags, and search by tag.

3.JSON-capable callbacks suitable for programmatic use by agents (e.g., OpenClaw) to read structured data from Bear.

4.Configurable via CLI flags, environment variables, and config files, enabling flexible setup in different environments.

5.Uses a token file and local callback URL rather than embedding secrets directly in commands, which is more secure and script-friendly.

Use Cases

Automated capture of notes from an OpenClaw agent (e.g., logging summaries, meeting notes, or research snippets into Bear).
Appending updates to an existing Bear note as a running log or journal maintained by an agent.
Listing and inspecting Bear tags to help an agent understand the user’s note taxonomy before filing new notes.
Searching and opening notes in a given tag to retrieve context for follow-up tasks or Q&A.
Batch workflows where an agent creates or updates multiple notes based on other local data sources, while returning JSON metadata to the orchestrator.

Evaluation Scores

7.2

/ 10

Reliability

7.0

Functionality

7.7

Usability

7.0

Safety

6.8

Performance

8.5

Compatibility

6.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.2/103/19/2026darwin-x64

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OS: darwin-x64LLM: z-ai/glm-4.5-air

**Quick judgment**: This skill is well-suited for power users of Bear on macOS who want an OpenClaw agent to automate note creation and retrieval via the `grizzly` CLI. It is narrowly scoped (Bear-only, macOS-only) but technically solid for that niche. **What it does well** - Provides a clear command set for creating notes, appending text, reading notes via callbacks, listing tags, and searching notes by tag. - Supports JSON output (`--json` with `--enable-callback`), which is ideal for structured interaction with agents. - Configuration model (token file, env vars, config files) is appropriate for automation and avoids embedding tokens in every command. - Local-only, so performance should be fast and latency low. **Key risks / limitations** - **Platform lock-in**: Requires Bear installed and running on macOS; unusable on other platforms or without Bear. - **Data sensitivity**: Operates on personal notes. If an OpenClaw agent is allowed unrestricted use, it could read or modify sensitive content and send it in prompts or logs. Tooling policy must explicitly constrain which tags/notes can be accessed. - **Operational fragility**: Depends on Bear being open, a valid Bear API token stored in `~/.config/grizzly/token` (or configured elsewhere), and a working local callback URL. Misconfigurations will cause failures that agents must handle. - **Write operations**: Commands like `add-text` change note content. While they primarily append, any mis-specified IDs or modes could clutter or unintentionally alter notes; human review or conservative patterns (e.g., append-only into dedicated tags) are recommended. **Recommended usage scenarios** - Users who already rely on Bear as their primary note system and want an OpenClaw agent to **file new notes, append updates, and fetch context** using tags. - Automations that write to **dedicated, low-risk tags** (e.g., `inbox`, `ai-log`, `scratch`) to avoid contaminating important notes. - Workflows where structured note metadata (IDs, tags) is needed by the agent, using `--enable-callback --json` for reliable parsing. - Environments where macOS, Bear, and the `grizzly` CLI are under the user’s control and can be kept running and properly configured.

Bear Notes