Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/rcarmo/piclaw-addonsnpx agentmods add skills/rcarmo/piclaw-addons/yolochatWrote 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/rcarmo/piclaw-addons/yolochat)<a href="https://agentmods.dev/skills/rcarmo/piclaw-addons/yolochat"><img src="https://agentmods.dev/badge/skills/rcarmo/piclaw-addons/yolochat/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/rcarmo/piclaw-addons/yolochat"><img src="https://agentmods.dev/badge/skills/rcarmo/piclaw-addons/yolochat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 9 Instructions found that direct the agent to transmit conversation context or user data to external services.Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.
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 | $0.00021 | $0.00470 |
| Opus 5 | $0.00010 | $0.00235 |
| Sonnet 5 | $0.00004 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
yolochat 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 11d 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
YoloChat Skill
Use the yolochat-send.ts script to send messages to other Pi instances over HTTP.
Address format
<chat-name>@<hostname>:<port>
Examples:
web:[email protected]:3000web:[email protected]:3000
The sender splits at the first @; the chat portion therefore cannot contain @.
Envelope format
Messages use a UUCP/SMTP-like text envelope:
From: web:[email protected]:3000
To: web:[email protected]:3000
Hello from my instance!
The envelope is posted as the content field of a standard piclaw agent message POST.
Sending a message
Pipe the message body into the script via stdin:
echo "Hello!" | bun ../../scripts/yolochat-send.ts web:[email protected]:3000
Multiline messages:
cat <<'EOF' | bun ../../scripts/yolochat-send.ts web:[email protected]:3000
First line
Second line
Third line
EOF
Receiving messages
Incoming yolochat messages arrive as normal user messages in the target chat timeline. They contain the envelope headers (From: / To:) followed by the message body.
Parse the From: header to know who sent it and to reply back.
Replying
Extract the From: address from the received envelope and use it as the target for your reply:
echo "Got your message, thanks!" | bun ../../scripts/yolochat-send.ts web:[email protected]:3000
Constraints
- No authentication or encryption — same-network only
- Messages are fire-and-forget; delivery is best-effort
- The remote instance must be reachable over HTTP on the specified port
- This is NOT a replacement for
/pair— zero security guarantees
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.
- 11d ago First seen · 74 lines · 21 tokens per session scan A 4bf22646e8da
yolochat is a skill published in the GitHub repository rcarmo/piclaw-addons (23 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 470 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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