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 Demerzels-lab/elsamultiskillagent --skill ms-outlook-teams-assistantgit clone --depth 1 https://github.com/Demerzels-lab/elsamultiskillagentWrote 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/demerzels-lab/elsamultiskillagent/ms-outlook-teams-assistant)<a href="https://agentmods.dev/skills/demerzels-lab/elsamultiskillagent/ms-outlook-teams-assistant"><img src="https://agentmods.dev/badge/skills/demerzels-lab/elsamultiskillagent/ms-outlook-teams-assistant/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/demerzels-lab/elsamultiskillagent/ms-outlook-teams-assistant"><img src="https://agentmods.dev/badge/skills/demerzels-lab/elsamultiskillagent/ms-outlook-teams-assistant.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 | $0.00110 | $0.01043 |
| Opus 5 | $0.00055 | $0.00522 |
| Sonnet 5 | $0.00022 | $0.00209 |
| Haiku 4.5 | $0.00011 | $0.00104 |
Grade A, and why
ms-outlook-teams-assistant 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.
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.
MS Outlook + Teams Assistant (Desktop-first)
What this skill does
- Inbox nagging (Outlook Desktop): find messages from the last 7 days that likely need a reply, then send reminders until dismissed.
- Email reply drafting: produce concise drafts that match the user’s tone rules (conversational, spartan, polite; simple English; short; reduce redundancy; avoid em dashes).
- Teams tracking (optional): if Microsoft Graph is configured and permitted by tenant policy, track recent Teams chat messages that likely need a reply and nag similarly.
Safety defaults
- Do not auto-send emails or Teams messages.
- Create drafts in Outlook, or paste drafts into Telegram for approval.
- For reminders: send to Telegram by default; only send to Teams if explicitly enabled.
Setup (one time)
A) Outlook Desktop automation (recommended)
- Ensure Outlook Desktop is installed and signed in.
- Install the Python dependency (ask before doing this on the machine):
pip install pywin32
- Create a config file:
- Copy
references/config.example.json→references/config.jsonand fill it. - IMPORTANT: Do not commit
references/config.jsonif it contains personal IDs.
- Copy
B) Teams via Graph (optional)
Only if you can create an Entra ID app registration and grant permissions.
- Copy
references/config.example.json→references/config.jsonand fillteams.tenantId,teams.clientId, andteams.scopes. - Then run
scripts/teams_scan.pyonce to complete Device Code sign-in.
See references/teams-graph-setup.md.
Core workflows
1) Scan and remind (Outlook)
Use scripts/scan_outlook.py.
1b) Scan Teams (Graph)
Use scripts/teams_scan.py.
Parameters:
--days 7(default)
First run will print a device code sign-in message (follow it once).
Parameters:
--days 7(default)--mode report|telegram(default: report)--max-items 200
Heuristics (editable in config):
- Within last N days
- Not from obvious broadcast sources
- Prefer threads where user is To: (not only CC) OR subject/body contains direct asks
- Prefer messages not replied by user (best-effort)
What ships with it
12 files 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.
- _meta.json 510 B
- README.md 114 B
- references/config.example.json 510 B
- references/teams-graph-setup.md 733 B
- references/writing-style.md 743 B
- scripts/dismiss.py 1.6 KB runs code
- scripts/draft_reply.py 3.1 KB runs code
- scripts/remind.py 6.4 KB runs code
- scripts/scan_all.py 4.1 KB runs code
- scripts/scan_outlook.py 5.4 KB runs code
- scripts/state.py 1.1 KB runs code
- scripts/teams_scan.py 11 KB runs code
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 · 110 tokens per session scan A 806e4fde8693
ms-outlook-teams-assistant is a skill published in the GitHub repository Demerzels-lab/elsamultiskillagent (10 stars, last pushed 4mo ago), licensed MIT. It adds 110 tokens to every session and 1,043 once invoked, about $0.0006 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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