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 jackchuka/skills --skill gws-meeting-schedulergit clone --depth 1 https://github.com/jackchuka/skillsWrote 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/jackchuka/skills/gws-meeting-scheduler)<a href="https://agentmods.dev/skills/jackchuka/skills/gws-meeting-scheduler"><img src="https://agentmods.dev/badge/skills/jackchuka/skills/gws-meeting-scheduler/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/jackchuka/skills/gws-meeting-scheduler"><img src="https://agentmods.dev/badge/skills/jackchuka/skills/gws-meeting-scheduler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.01299 |
| Opus 5 | $0.00043 | $0.00649 |
| Sonnet 5 | $0.00017 | $0.00260 |
| Haiku 4.5 | $0.00009 | $0.00130 |
Grade A, and why
gws-meeting-scheduler 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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Scheduler
Find mutual availability and create Google Calendar events using the gws CLI.
Prerequisites
gwsCLI installed and authenticated
Workflow
1. Resolve attendee email
If the user provides a name but no email, search past calendar events:
gws calendar events list --params '{"calendarId":"primary","q":"<name>","maxResults":10}'
Look at the attendees array in results to find the matching email. If multiple matches, ask the user to confirm.
2. Detect timezones
Detect each person's timezone by querying their own calendar directly. When you query a person's calendar via their email as calendarId, the API returns start.dateTime with that person's local UTC offset — this is the most reliable signal.
gws calendar events list --params '{"calendarId":"<user-email>","maxResults":10}'
gws calendar events list --params '{"calendarId":"<attendee-email>","maxResults":10}'
For each person:
- Look at
start.dateTimeon non-all-day events (skip events with onlystart.date) - Extract the UTC offset (e.g.,
-08:00,+09:00) — this reflects their calendar's timezone - Tally the most frequent offset to determine their timezone
- Cross-reference with the
start.timeZonefield on events matching that offset to get the IANA name (e.g.,-08:00→America/Los_Angeles)
Important: Do NOT rely on start.timeZone alone — it often reflects the organizer's or attendee's timezone rather than the calendar owner's. The dateTime offset from the person's own calendar is the source of truth.
If no timezone can be determined for either person, ask the user.
3. Determine date range
Ask the user for a preferred date range, or default to the next 5 business days.
4. Check free/busy
Query both calendars together. The query range must cover work hours in both timezones:
gws calendar freebusy query --json '{
"timeMin": "<start-RFC3339>",
"timeMax": "<end-RFC3339>",
"items": [{"id": "<user-email>"}, {"id": "<attendee-email>"}]
}'
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.
- 12d ago First seen · 130 lines · 86 tokens per session scan A 22b2038b35c8
gws-meeting-scheduler is a skill published in the GitHub repository jackchuka/skills (15 stars, last pushed 25d ago), licensed MIT. It adds 86 tokens to every session and 1,299 once invoked, about $0.0004 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 2026-08-30.
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