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 GGbond-bo/MemOmics-Agent --skill teams-meeting-pipelinegit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWrote 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/ggbond-bo/memomics-agent/teams-meeting-pipeline)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/teams-meeting-pipeline"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/teams-meeting-pipeline/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/ggbond-bo/memomics-agent/teams-meeting-pipeline"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/teams-meeting-pipeline.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 | $0.00031 | $0.01568 |
| Opus 5 | $0.00015 | $0.00784 |
| Sonnet 5 | $0.00006 | $0.00314 |
| Haiku 4.5 | $0.00003 | $0.00157 |
Grade A, and why
teams-meeting-pipeline 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 9d 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
97% identical to teams-meeting-pipeline — 8 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teams Meeting Pipeline
Use this skill whenever the user asks about Microsoft Teams meeting summaries, transcripts, recordings, action items, Graph subscriptions, or any operational question about the Teams meeting pipeline. Works in any language — the triggers below are examples, not an exhaustive list.
Everything operator-facing is a hermes teams-pipeline subcommand run via the terminal tool. There are no new model tools for this pipeline — the CLI is the surface.
When to use this skill
The user is asking to:
- summarize a Teams meeting / extract action items / pull meeting notes
- check pipeline status, inspect a stored meeting job, or see recent meetings
- replay / re-run a stored job that failed or needs a fresh summary
- validate Microsoft Graph setup after changing env or config
- troubleshoot "meeting summary never arrived" or "no new meetings are ingesting"
- manage Graph webhook subscriptions (create, renew, delete, inspect)
- set up automated subscription renewal (see pitfall below)
Multilingual trigger examples (not exhaustive):
- English: "summarize the Teams meeting", "pipeline status", "replay job X"
- Turkish: "Teams meeting özetle", "action item çıkar", "toplantı notu", "pipeline durumu", "replay job"
Prerequisites
Before using the pipeline, verify these are set in ${HERMES_HOME:-~/.hermes}/.env:
MSGRAPH_TENANT_ID=...
MSGRAPH_CLIENT_ID=...
MSGRAPH_CLIENT_SECRET=...
If any are missing, direct the user to the Azure app registration guide at /docs/guides/microsoft-graph-app-registration — they need an Azure AD app registration with admin-consented Graph application permissions before the pipeline will work.
Command reference
Status and inspection (start here)
hermes teams-pipeline validate # config snapshot — run first after any change
hermes teams-pipeline token-health # Graph token status
hermes teams-pipeline token-health --force-refresh # force a fresh token acquisition
hermes teams-pipeline list # recent meeting jobs
hermes teams-pipeline list --status failed # only failed jobs
hermes teams-pipeline show <job-id> # full detail of one job
hermes teams-pipeline subscriptions # current Graph webhook subscriptions
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.
- 9d ago First seen · 117 lines · 31 tokens per session scan A 5d3091690cf5
teams-meeting-pipeline is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 1,568 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to teams-meeting-pipeline, differing in 8 lines, and is treated as a copy.
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