Borrowing it
Nothing to install: this file belongs to benoror/obsidianos_work. 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/benoror/obsidianos_work/main/.agents/skills/mail-transcripts/SKILL.mdgit clone --depth 1 https://github.com/benoror/obsidianos_workWrote 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/benoror/obsidianos_work/mail-transcripts)<a href="https://agentmods.dev/skills/benoror/obsidianos_work/mail-transcripts"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/mail-transcripts/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/benoror/obsidianos_work/mail-transcripts"><img src="https://agentmods.dev/badge/skills/benoror/obsidianos_work/mail-transcripts.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 | $0.00036 | $0.00998 |
| Opus 5.5 | $0.00014 | $0.00399 |
| Sonnet 5.5 | $0.00007 | $0.00200 |
| Haiku 4.5 | $0.00004 | $0.00100 |
Grade A, and why
mail-transcripts 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 1mo 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mail Transcripts
Setup: SETUP.md — Gmail label, OAuth scopes, and
resolve_path()customization.
Usage
/mail-transcripts— Run the Gmail → vault sync once (no arguments).
When to run
| Caller | When |
|---|---|
| Standalone | Whenever you want to drain the AI-transcript inbox without wrapping meetings. |
/meeting wrap <path> |
Step 1 — Before /cache-notes, so Notes: is filled from Gmail when Gemini emails beat manual paste. |
/meeting wrap pending … |
Step 1 — Before discovering pending meetings, so newly linked or auto-created notes are included in the pending scan. |
Gmail filter
Fixed query (do not change without updating this skill and the script):
label:🤖-ai-transcripts in:inbox
The label name includes the emoji 🤖 (robot). Ensure that label exists in Gmail and that transcript notifications are delivered into Inbox with that label applied.
Workflow
Step 1: Preconditions
- Confirm
gwsis installed and authenticated (gws auth status). - Confirm Gmail OAuth includes read + modify message scopes (marking read uses
users.messages.modify).
Step 2: Run the vault script
From the vault root, run:
python3 .scripts/gmail_ai_transcripts_to_meetings.py
Implementation lives in .scripts/gmail_ai_transcripts_to_meetings.py. The script:
- Lists messages matching the query (paginated up to
maxResultsin script — currently 100). - For each message, decodes MIME parts, extracts
https://docs.google.com/document/d/...URLs. - Parses the subject line
Notes: "Title" Mon DD, YYYY(supports curly""Unicode quotes). A bareMeeting Summary for <recurring meeting>(noNotes:pattern) maps to that meeting using the emailDateheader. - Resolves
Meetings/**/*.mdtargets using title + date heuristics (daily standups →Meetings/Engineering/Scrum/YYYY-MM-DD.md, tech-leads →Meetings/Engineering/TechLeads/, interviews →Meetings/Interviews/, etc. — see scriptresolve_path()). Edit that function to match your own folder conventions. - Updates existing notes: appends the Doc URL under
Notes:if that document ID is not already present. - Creates a minimal meeting stub if no file exists (
Notes:,created:,# Title - YYYY-MM-DD) — agents may refine folder/title afterward. - Marks each processed message read by removing the
UNREADlabel viagws gmail users messages modify.
What ships with it
1 file 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.
- 1mo ago First seen · 74 lines · 36 tokens per session scan A 3b561e669cee
mail-transcripts is a skill published in the GitHub repository benoror/obsidianos_work (165 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 998 once invoked, about $0.0001 per session on Opus 5.5. 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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