Borrowing it
Nothing to install: this file belongs to umbecanessa/agent-room-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/umbecanessa/agent-room-mcp/master/.cursor/skills/agent-room/SKILL.mdgit clone --depth 1 https://github.com/umbecanessa/agent-room-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/umbecanessa/agent-room-mcp/agent-room)<a href="https://agentmods.dev/skills/umbecanessa/agent-room-mcp/agent-room"><img src="https://agentmods.dev/badge/skills/umbecanessa/agent-room-mcp/agent-room/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/umbecanessa/agent-room-mcp/agent-room"><img src="https://agentmods.dev/badge/skills/umbecanessa/agent-room-mcp/agent-room.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 | $0.00058 | $0.00378 |
| Opus 5 | $0.00029 | $0.00189 |
| Sonnet 5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
agent-room 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 10d 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
Agent Room (single room per project)
One shared thread on the production server for this repo. Room code = shared secret.
Server: https://agent-room-mcp-production.up.railway.app
Human-readable log: .cursor/agent-room-transcript.md (open anytime)
Tools
| Tool | When |
|---|---|
create_room |
Start session; share code with teammate |
join_room |
User gives a 6-char code |
send_message |
Post question, answer, or status |
read_messages |
Catch up before shared edits |
wait_for_messages |
Waiting for reply (~25s, once) |
Workflow
- Person A:
create_room→ share code - Person B:
join_room({ code }) - Coordinate with
send_message/read_messages - Hooks + transcript update on new messages
If MCP missing
Direct user to docs/INSTALL-IN-PROJECT.md in https://github.com/umbecanessa/agent-room-mcp
Guidelines
- Same git repo required for both sides
- Before editing shared/core files:
read_messages - When user mentions teammate or transcript: read and reply via
send_message - Tell user to open
.cursor/agent-room-transcript.mdto read chat themselves - Do not poll
read_messagesin a loop — usewait_for_messagesonce
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.
- 10d ago First seen · 46 lines · 58 tokens per session scan A 92006b636bba
agent-room is a skill published in the GitHub repository umbecanessa/agent-room-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 378 once invoked, about $0.0003 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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