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 razvangirgiz/wazap --skill whatsapp-groupsgit clone --depth 1 https://github.com/razvangirgiz/wazapWrote 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/razvangirgiz/wazap/whatsapp-groups)<a href="https://agentmods.dev/skills/razvangirgiz/wazap/whatsapp-groups"><img src="https://agentmods.dev/badge/skills/razvangirgiz/wazap/whatsapp-groups/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/razvangirgiz/wazap/whatsapp-groups"><img src="https://agentmods.dev/badge/skills/razvangirgiz/wazap/whatsapp-groups.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 | $0.00052 | $0.00624 |
| Opus 5 | $0.00026 | $0.00312 |
| Sonnet 5 | $0.00010 | $0.00125 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
whatsapp-groups 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp group catch-up
Deliverable: decisions, dates, and what is asked of the user, in that order, with the chatter gone. A 300-message thread should compress to a screen.
Load the whole window
- Resolve the group with
list_chatsfilter: "groups"(match on name; ask if two match).get_group_infoonce for the participant names and who the admins are; use names, not numbers, in the summary. read_messageswithlimit: 200. If the oldest message is still inside the window the user asked for, call again withbeforeset to that oldestmessage_id, until the window is covered. Done loading when the oldest message you hold is older than the window, or WhatsApp returns no more.- Note which messages quote or mention the user:
quoted.senderequal to the user, the user's name intext, orsenderaddressing them directly. These are the asks.
Extract
Work through the messages once and collect:
- Decisions: something agreed or announced by an admin or by the people it concerns ("ok, Saturday at 10 then").
- Dates and deadlines: any concrete day, time, or "by Friday", with what it is for.
- Asks of the user: every mention or reply to them, plus open questions nobody answered that fall on the user. A
callmessage in the group after one of these, withcall.outcomeanswered, means the user was on that group call: say so and treat the ask as probably handled, the waywhatsapp-inboxdoes. - Open threads: questions still without an answer, for anyone.
- Polls: the question and options (
[poll] …); wazap cannot read votes, so say that if the user asks who voted.
Skip greetings, reactions, stickers, and messages that only acknowledge.
Report
Bloc 12 — 312 messages since Monday
Decided
- Roof repair goes to Tehnoplast, 18,400 lei, vote closed Wednesday.
- Water off Thursday 09:00–13:00.
Dates
- Fri 15 Mar: pay share (1,150 lei) to the association account.
You
- Mihai asked (Tue) if you can be home Thursday for the plumber. Unanswered.
Open
- Nobody confirmed who holds the basement key.
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 · 48 lines · 52 tokens per session scan A f91f6809e0de
whatsapp-groups is a skill published in the GitHub repository razvangirgiz/wazap (0 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 624 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.