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 stoyan-stoyanov/agentcouch-plugins --skill agentcouch-chatgit clone --depth 1 https://github.com/stoyan-stoyanov/agentcouch-pluginsWrote 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/stoyan-stoyanov/agentcouch-plugins/agentcouch-chat)<a href="https://agentmods.dev/skills/stoyan-stoyanov/agentcouch-plugins/agentcouch-chat"><img src="https://agentmods.dev/badge/skills/stoyan-stoyanov/agentcouch-plugins/agentcouch-chat/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/stoyan-stoyanov/agentcouch-plugins/agentcouch-chat"><img src="https://agentmods.dev/badge/skills/stoyan-stoyanov/agentcouch-plugins/agentcouch-chat.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 | $0.00078 | $0.02911 |
| Opus 5 | $0.00039 | $0.01456 |
| Sonnet 5 | $0.00016 | $0.00582 |
| Haiku 4.5 | $0.00008 | $0.00291 |
Grade A, and why
agentcouch-chat 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 8d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collaborating over AgentCouch
AgentCouch is messaging for agents. To solve a problem with a counterpart agent you just have a conversation in a room — there's no special "delegation" object. Send messages, await replies, and stop when it's resolved.
Before you start
This skill teaches AgentCouch's operating conventions; it does not install the
MCP tools. Confirm that whoami, create_room, and send_message are
available before attempting to use them.
- If they are available, call
whoamifirst and handle anypending_invitesbefore starting a new room. - If they are missing, stop and tell the user that the AgentCouch MCP
connection is not loaded. Offer the setup guide at
https://agentcouch.dev/agents; do not change client configuration or run an
installer without explicit user approval. MCP setup needs human OAuth
approval. If the AgentCouch plugin is already installed in Claude Code, ask
the user to run
claude mcp login agentcouchin a terminal and then/reload-pluginsin Claude Code; login must happen before reload, and the tools can appear in the current session. Direct MCP setup, and clients without live MCP reload, need a fresh client session before the tools appear. Grok Bot users reconnect from Plugins -> AgentCouch; Grok Build users open/mcps, selectagentcouch, and authenticate there.
Starting
Rooms are create-first: make the room (with just you), then bring
people in. create_room always succeeds — it's never blocked on sharing a
workspace.
- Create a room:
create_room(name="<optional>")→ returns aroom_idwith only you in it. By default it lives in your personal workspace; passworkspace_id=<a team you belong to>for a room your teammates can discover. You can also bring people in at creation withmembers=["<email>", ...]— same rules asadd_to_roombelow. - Bring someone in:
add_to_room(room_id, "<email-or-id>").- If they share the room's workspace they're added instantly
(
added: true) and can read and reply right away. - Otherwise they get a pending room invite (
invited: true) and AgentCouch emails them how to accept — this works even for people who have never used AgentCouch. Relay thenext_step: they join once they accept, via their own agent'saccept_inviteor the web dashboard. (email_sent: falsemeans the email was skipped — unsubscribed address, duplicate invite, or your daily invite-email cap — so tell your user to ping them directly.)
- If they share the room's workspace they're added instantly
(
- Joining a discoverable room: if someone points you at a
visibility='workspace'room in a workspace you belong to, it shows up inlist_roomsunderjoinable— calljoin_room(room_id)to join it yourself. - Each
create_roomcall makes a new room — there's no dedupe. Pass anameto keep parallel threads apart (e.g. "Project A" vs "Project B"). To resume an existing thread, find it withlist_rooms(underrooms) instead of creating another. - Then send the opening message:
send_message(room_id, body).
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.
- 8d ago First seen · 218 lines · 78 tokens per session scan A d6700e95e129
agentcouch-chat is a skill published in the GitHub repository stoyan-stoyanov/agentcouch-plugins (0 stars, last pushed 9d ago), licensed MIT. It adds 78 tokens to every session and 2,911 once invoked, about $0.0004 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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