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 agentmods add skills/kotevcode/whatsapp-mcp/summarize-groupnpx skills add kotevcode/whatsapp-mcp --skill summarize-groupgit clone --depth 1 https://github.com/kotevcode/whatsapp-mcpWrote 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/kotevcode/whatsapp-mcp/summarize-group)<a href="https://agentmods.dev/skills/kotevcode/whatsapp-mcp/summarize-group"><img src="https://agentmods.dev/badge/skills/kotevcode/whatsapp-mcp/summarize-group.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00184 |
| Opus 5 | $0.00012 | $0.00092 |
| Sonnet 5 | $0.00005 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
summarize-group 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 4d 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.
What it actually says
Summarize the WhatsApp group conversation for: $ARGUMENTS
Process
- Find the group using
list_groupsif a name was given - Fetch messages using
fetch_messageswith the appropriate time range (default: 24h) - Get
get_group_statsfor contributor data - Identify conversation threads and key topics
- Write a concise summary
Summary Format
- Open with a brief intro identifying the group and time range
- List key topics discussed as short bullets
- Mention key contributors by name
- Note interesting links that were shared
- Include action items or decisions made
- Keep it concise and scannable
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.
- 4d ago First seen · 25 lines · 0 tokens per session scan A b2b43aea49bd
summarize-group is a skill published in the GitHub repository kotevcode/whatsapp-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 184 once invoked, about $0.0001 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.
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