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 StarryCod/cogitum --skill apple-notesgit clone --depth 1 https://github.com/StarryCod/cogitumWrote 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/starrycod/cogitum/apple-notes)<a href="https://agentmods.dev/skills/starrycod/cogitum/apple-notes"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/apple-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/starrycod/cogitum/apple-notes"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/apple-notes.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.00527 |
| Opus 5.5 | $0.00007 | $0.00211 |
| Sonnet 5.5 | $0.00003 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
apple-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
80% identical to apple-notes — 26 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.
What it actually says
Requires macOS
Apple Notes
Use memo to manage Apple Notes directly from the terminal. Notes sync across all Apple devices via iCloud.
Prerequisites
- macOS with Notes.app
- Install:
brew tap antoniorodr/memo && brew install antoniorodr/memo/memo - Grant Automation access to Notes.app when prompted (System Settings → Privacy → Automation)
When to Use
- User asks to create, view, or search Apple Notes
- Saving information to Notes.app for cross-device access
- Organizing notes into folders
- Exporting notes to Markdown/HTML
When NOT to Use
- Obsidian vault management → use the
obsidianskill - Bear Notes → separate app (not supported here)
- Quick agent-only notes → use the
memorytool instead
Quick Reference
View Notes
memo notes # List all notes
memo notes -f "Folder Name" # Filter by folder
memo notes -s "query" # Search notes (fuzzy)
Create Notes
memo notes -a # Interactive editor
memo notes -a "Note Title" # Quick add with title
Edit Notes
memo notes -e # Interactive selection to edit
Delete Notes
memo notes -d # Interactive selection to delete
Move Notes
memo notes -m # Move note to folder (interactive)
Export Notes
memo notes -ex # Export to HTML/Markdown
Limitations
- Cannot edit notes containing images or attachments
- Interactive prompts require terminal access (use pty=true if needed)
- macOS only — requires Apple Notes.app
Rules
- Prefer Apple Notes when user wants cross-device sync (iPhone/iPad/Mac)
- Use the
memorytool for agent-internal notes that don't need to sync - Use the
obsidianskill for Markdown-native knowledge management
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 · 94 lines · 17 tokens per session scan A d615d335671e
apple-notes is a skill published in the GitHub repository StarryCod/cogitum (12 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 527 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to apple-notes, differing in 26 lines, and is treated as a copy.
Other skills, from other repositories
delegation
Delegates independent work to worker agents through the Task tool, choosing between the explore scout and the ml, biology, physics, chemistry and data specialists, writing a self-contained brief for a worker that cannot see the conversation, setting boundaries on files and compute, using two independent annotators…
cron-task-creator
A scheduler for recurring octo agent tasks. Each task contains a schedule and a prompt, so octo can run an agent turn automatically at the specified times.
workflow-creator
Turn a repeatable multi-step task into a runnable, reusable saved workflow through guided conversation, in either of two shapes — chaining existing skills/recordings (wiring each one's output into the next's input), or composing the workflow script's own primitives (agent/parallel/pipeline) directly when the task…
automation
Instructions for managing scheduled tasks through the host's structured automation tool, including reminders, delayed work, recurring checks, and result delivery.
resume-crafting
A career-writing aid for turning a résumé or cover letter into clear evidence of results. It uses measurable outcomes and adapts the wording to a job description and applicant-tracking systems, or ATS tools that scan applications for relevant terms.
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.