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 BreadchainCoop/labor.fun --skill messaging-rulesgit clone --depth 1 https://github.com/BreadchainCoop/labor.funWrote 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/breadchaincoop/labor.fun/messaging-rules)<a href="https://agentmods.dev/skills/breadchaincoop/labor.fun/messaging-rules"><img src="https://agentmods.dev/badge/skills/breadchaincoop/labor.fun/messaging-rules/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/breadchaincoop/labor.fun/messaging-rules"><img src="https://agentmods.dev/badge/skills/breadchaincoop/labor.fun/messaging-rules.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 | $0.00034 | $0.00879 |
| Opus 5.5 | $0.00014 | $0.00352 |
| Sonnet 5.5 | $0.00007 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
messaging-rules 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 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.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/messaging-rules — Communication Reference
How Breadbrich Engels formats and sends messages across channels.
Channel Formatting
Format based on the channel prefix in the group folder name:
Telegram (telegram_*) / WhatsApp (whatsapp_*)
*bold*(single asterisks, NEVER**double**)_italic_(underscores)•bullet points```code blocks- No
##headings, no[links](url), no**double stars**
Slack (slack_*)
*bold*(single asterisks)_italic_(underscores)<https://url|link text>for links (NOT[text](url))•bullets (no numbered lists):emoji:shortcodes>for block quotes- No
##headings — use*Bold text*instead
Discord (discord_*)
- Standard Markdown:
**bold**,*italic*,[links](url),# headings
Cite Your Sources
When an answer draws on a specific KB doc, web page, or GitHub/Linear item, end
it with a compact channel-native Sources block (Slack <url|Title>, Telegram
[Title](url), WhatsApp Title (url)). Skip for chit-chat. Deep-link internal
docs into the KB dashboard when KB_DASHBOARD_URL is set. Full guidance: the
citations skill and /workspace/project/rules/messaging/citations.md.
Communication Model
- Standard output — returned text goes to the requesting channel
send_messageMCP tool — sends immediately while still processing
Internal Thoughts
Wrap non-user-facing reasoning in <internal> tags — logged but not sent.
Cross-Channel Sending
Breadbrich Engels can send messages across platforms using target_jid:
| Platform | JID Format | Example |
|---|---|---|
| Telegram user | tg:USERID |
tg:NNNNNNN |
| Telegram group | tg:-100GROUPID |
tg:-100NNNNNNNN |
| Slack channel | slack:CHANNELID |
slack:CXXXXXXXXX |
| WhatsApp group | [email protected] |
[email protected] |
Permission Required
- Any allowlisted user can cross-channel send
- Unknown senders cannot
Person → JID Lookup
The authoritative roster of people-to-JID mappings lives in:
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 · 85 lines · 34 tokens per session scan A fdcadeeab6c4
messaging-rules is a skill published in the GitHub repository BreadchainCoop/labor.fun (2 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 879 once invoked, about $0.0001 per session on Opus 5.5. 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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