Borrowing it
Nothing to install: this file belongs to ronnycoding/my-personal-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ronnycoding/my-personal-assistant/main/.claude/skills/read-calendar/SKILL.mdgit clone --depth 1 https://github.com/ronnycoding/my-personal-assistantWrote 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/ronnycoding/my-personal-assistant/read-calendar)<a href="https://agentmods.dev/skills/ronnycoding/my-personal-assistant/read-calendar"><img src="https://agentmods.dev/badge/skills/ronnycoding/my-personal-assistant/read-calendar.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 | $0.00049 | $0.00346 |
| Opus 5 | $0.00024 | $0.00173 |
| Sonnet 5 | $0.00010 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
read-calendar 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 4d 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.
What it actually says
Read Calendar
Retrieves calendar events from macOS Calendar for analysis, planning, and scheduling.
When to Use
- "What's on my calendar today?"
- "Show me my schedule for this week"
- "Do I have any meetings tomorrow?"
- "What's my next meeting?"
Requirements
This skill requires icalBuddy to properly handle recurring events:
```bash
brew install ical-buddy
```
Instructions
Execute Calendar Read
Use icalBuddy to retrieve events including recurring ones:
```bash icalBuddy -n -iep "title,datetime,location" -df "%Y-%m-%d" -tf "%H:%M" eventsFrom:<start_date> to:<end_date> ```
Example: ```bash icalBuddy -n -iep "title,datetime,location" -df "%Y-%m-%d" -tf "%H:%M" eventsFrom:2025-10-26 to:2025-10-27 ```
Note: icalBuddy properly handles recurring events (unlike AppleScript which doesn't pre-generate future instances).
Present Results
Format events clearly:
- Group by day
- Show time, title, location, calendar name
- Highlight conflicts if any
- Identify gaps for focus time
- Mark recurring events clearly
What ships with it
3 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.
- 4d ago First seen · 50 lines · 49 tokens per session scan A 2d0f53d2325a
read-calendar is a skill published in the GitHub repository ronnycoding/my-personal-assistant (12 stars, last pushed 10mo ago), licensed MIT. It adds 49 tokens to every session and 346 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 2026-09-02.
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