Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/shigechika/gws-mcpnpx agentmods add skills/shigechika/gws-mcp/gws-meetWrote 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/shigechika/gws-mcp/gws-meet)<a href="https://agentmods.dev/skills/shigechika/gws-mcp/gws-meet"><img src="https://agentmods.dev/badge/skills/shigechika/gws-mcp/gws-meet/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/shigechika/gws-mcp/gws-meet"><img src="https://agentmods.dev/badge/skills/shigechika/gws-mcp/gws-meet.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 | $0.00010 | $0.00469 |
| Opus 5 | $0.00005 | $0.00234 |
| Sonnet 5 | $0.00002 | $0.00094 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
gws-meet 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 10d 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
100% identical to gws-meet — 0 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
meet (v2)
PREREQUISITE: Read
../gws-shared/SKILL.mdfor auth, global flags, and security rules. If missing, rungws generate-skillsto create it.
gws meet <resource> <method> [flags]
API Resources
conferenceRecords
get— Gets a conference record by conference ID.list— Lists the conference records. By default, ordered by start time and in descending order.participants— Operations on the 'participants' resourcerecordings— Operations on the 'recordings' resourcesmartNotes— Operations on the 'smartNotes' resourcetranscripts— Operations on the 'transcripts' resource
spaces
create— Creates a space.endActiveConference— Ends an active conference (if there's one). For an example, see End active conference.get— Gets details about a meeting space. For an example, see Get a meeting space.patch— Updates details about a meeting space. For an example, see Update a meeting space.
Discovering Commands
Before calling any API method, inspect it:
# Browse resources and methods
gws meet --help
# Inspect a method's required params, types, and defaults
gws schema meet.<resource>.<method>
Use gws schema output to build your --params and --json flags.
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.
- 10d ago First seen · 54 lines · 10 tokens per session scan A fbb96373f37a
gws-meet is a skill published in the GitHub repository shigechika/gws-mcp (1 stars, last pushed 6d ago), licensed Apache-2.0. It adds 10 tokens to every session and 469 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gws-meet, differing in 0 lines, and is treated as a copy.
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