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 NaveedTechLab/skills-library --skill whatsapp-watchergit clone --depth 1 https://github.com/NaveedTechLab/skills-libraryWrote 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/naveedtechlab/skills-library/whatsapp-watcher)<a href="https://agentmods.dev/skills/naveedtechlab/skills-library/whatsapp-watcher"><img src="https://agentmods.dev/badge/skills/naveedtechlab/skills-library/whatsapp-watcher/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/naveedtechlab/skills-library/whatsapp-watcher"><img src="https://agentmods.dev/badge/skills/naveedtechlab/skills-library/whatsapp-watcher.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 | $0.00060 | $0.02372 |
| Opus 5.5 | $0.00024 | $0.00949 |
| Sonnet 5.5 | $0.00012 | $0.00474 |
| Haiku 4.5 | $0.00006 | $0.00237 |
Grade C, and why
whatsapp-watcher scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf ./whatsapp_session The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
8 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.
- assets/sample-triggers.yaml 1.6 KB
- references/selectors.md 4.4 KB
- scripts/__init__.py 814 B runs code
- scripts/__pycache__/whatsapp_emitter.cpython-314.pyc 15 KB
- scripts/__pycache__/whatsapp_watcher.cpython-314.pyc 25 KB
- scripts/cli.py 10 KB runs code
- scripts/whatsapp_emitter.py 10 KB runs code
- scripts/whatsapp_watcher.py 18 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.
- 1mo ago First seen · 296 lines · 60 tokens per session scan C dc25a1951a59
whatsapp-watcher is a skill published in the GitHub repository NaveedTechLab/skills-library (11 stars, last pushed 6mo ago), with no licence file. It adds 60 tokens to every session and 2,372 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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