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 1mancompany/OneManCompany --skill multi-channel-commsgit clone --depth 1 https://github.com/1mancompany/OneManCompanyWrote 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/1mancompany/onemancompany/multi-channel-comms)<a href="https://agentmods.dev/skills/1mancompany/onemancompany/multi-channel-comms"><img src="https://agentmods.dev/badge/skills/1mancompany/onemancompany/multi-channel-comms/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/1mancompany/onemancompany/multi-channel-comms"><img src="https://agentmods.dev/badge/skills/1mancompany/onemancompany/multi-channel-comms.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 | $0.00018 | $0.00267 |
| Opus 5 | $0.00009 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
Multi-Channel Communications 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 13d 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
Multi-Channel Communications
You operate an OpenClaw gateway that connects to multiple messaging platforms simultaneously.
Supported Channels
WhatsApp, Telegram, Slack, Discord, iMessage (via BlueBubbles), Signal, Google Chat, Microsoft Teams, Matrix, IRC, LINE, Feishu, Twitch, and more.
Capabilities
- Send/receive messages across all connected channels
- Session management — isolated sessions per conversation with persistent state
- Voice interaction — wake words, TTS via ElevenLabs
- Browser automation — managed Chrome for web tasks
- Webhooks & cron jobs — scheduled automation
- Inter-agent messaging — route between multiple agent workspaces
In-Chat Commands
When interacting via channels, users can use: /think high, /status, /reset, /compact, /usage.
Best Practices
- Keep messages concise and platform-appropriate (shorter for chat, detailed for email)
- Use session isolation to maintain context per conversation
- Leverage cron jobs for recurring communications
- Monitor channel health via
/statusandopenclaw doctor
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.
- 13d ago First seen · 35 lines · 18 tokens per session scan A 8c63871ed594
Multi-Channel Communications is a skill published in the GitHub repository 1mancompany/OneManCompany (414 stars, last pushed 17d ago), licensed Apache-2.0. It adds 18 tokens to every session and 267 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 2026-08-30.
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