Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/tylerjhayden/agent-toolkit/bear)<a href="https://agentmods.dev/skills/tylerjhayden/agent-toolkit/bear"><img src="https://agentmods.dev/badge/skills/tylerjhayden/agent-toolkit/bear.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 | $0.00038 | $0.01098 |
| Opus 5 | $0.00019 | $0.00549 |
| Sonnet 5 | $0.00008 | $0.00220 |
| Haiku 4.5 | $0.00004 | $0.00110 |
Grade A, and why
bear 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bear
Bear.app CLI bridge — two-way sync between filesystem markdown and Bear notes.
Overview
Sends markdown files into Bear for editing (via URL scheme) and pulls Bear notes back to the filesystem as clean markdown (via read-only SQLite queries). Import never touches the database directly — it uses Bear's URL scheme to preserve CloudKit sync. Export is always read-only.
When to Use
- "Send this to Bear" / "Open in Bear"
- "Pull my Bear notes" / "Export from Bear"
- "What are my recent Bear notes?"
- "Find Bear notes tagged with X"
- "Open this note in Bear"
Common Mistakes
Quoting titles with special characters. Always wrap Bear note titles in quotes when they contain spaces or punctuation: bear open "My Note Title".
Expecting instant sync on send. Bear processes URL scheme requests asynchronously. The note may take a moment to appear after bear send.
Running pull-all into a tracked directory. Export dumps many files — use a scratch directory or ./bear-export/ (the default) to avoid polluting git repos.
CLI Tool
Alias: bear
Location: .claude/skills/bear/tools/bear
Quick Reference
bear <file.md> # Send file to Bear (shortcut for send)
bear send <file.md> # Send/update markdown file in Bear
bear pull <title> [path] # Pull Bear note to filesystem
bear pull-all [path] # Export all notes (default: ./bear-export/)
bear open <title> # Open note in Bear
bear search <query> # Search in Bear
bear recent [N] # List N most recent notes (default: 10)
bear list [--tag <tag>] # List notes, optionally by tag
bear help # Show help
Commands
| Command | Description |
|---|---|
send <file> |
Send markdown file to Bear. Updates existing note if title matches, creates new note with project tag if not |
pull <title> [path] |
Export note as clean markdown. Resolves [image:UUID/file] to  and copies image files |
pull-all [path] |
Bulk export all non-trashed notes to directory |
open <title> |
Open note directly in Bear by title |
search <query> |
Open Bear's search UI with query |
recent [N] |
List N most recently modified notes with relative timestamps |
list [--tag tag] |
List all notes or filter by tag |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 113 lines · 38 tokens per session scan A b381480c338f
bear is a skill published in the GitHub repository tylerjhayden/agent-toolkit (2 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 1,098 once invoked, about $0.0002 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 2026-08-31.
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