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 cxcscmu/SkillLearnBench --skill calendar-parsinggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/calendar-parsing)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/calendar-parsing"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/calendar-parsing.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 | $0.00023 | $0.00355 |
| Opus 5 | $0.00012 | $0.00178 |
| Sonnet 5 | $0.00005 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
calendar-parsing 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
Calendar Parsing from PDF
Overview
Parse visual calendar layouts (e.g., Google Calendar exports) to extract structured time block data.
Key Techniques
1. Reading Calendar Structure
- Identify the timeline axis (typically vertical, hourly labels from 12am-11pm)
- Each space between adjacent horizontal lines = 15 minutes
- Blocks are colored rectangles overlaid on the grid
2. Extracting Block Times
- Map each block's top/bottom edges to the nearest 15-minute gridline
- Read the block label text for the event name
- Note the block color to determine priority/type
3. Color Coding Conventions
- Blue/purple blocks: Low-priority or flexible tasks; can be overwritten by new meetings
- Red/pink blocks: Fixed appointments; cannot be moved
- Green/yellow blocks: Standard meetings; cannot be moved
- Gray/dark blocks: Out-of-office or unavailable time
4. Determining Free Slots
- List all non-overwritable blocks (everything except blue)
- Treat blue blocks as free time
- Subtract blocked ranges from the full day to get available windows
- Free slots appear as areas with only dashed horizontal gridlines (no colored blocks)
5. Timezone Handling
- Calendar header typically shows the timezone (e.g., "Eastern Time - New York")
- All times extracted are in the calendar's native timezone
- Convert external time references (e.g., PST) to the calendar timezone before comparison
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 · 39 lines · 23 tokens per session scan A b4f79d2d16ed
calendar-parsing is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 355 once invoked, about $0.0001 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 2026-09-03.
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