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 agentmods add skills/lout33/termcanvas/agentmuxnpx skills add lout33/termcanvas --skill agentmuxgit clone --depth 1 https://github.com/lout33/termcanvasWrote 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/lout33/termcanvas/agentmux)<a href="https://agentmods.dev/skills/lout33/termcanvas/agentmux"><img src="https://agentmods.dev/badge/skills/lout33/termcanvas/agentmux.svg" alt="Measured on agentmods" 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 | $0.00087 | $0.02178 |
| Opus 5 | $0.00044 | $0.01089 |
| Sonnet 5 | $0.00017 | $0.00436 |
| Haiku 4.5 | $0.00009 | $0.00218 |
Grade A, and why
agentmux scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing TermCanvas agentmux agents
TermCanvas managed terminals are agentmux sessions. Each canvas is one agentmux project
(for example termcanvas-8a075ab8-e), and each terminal node is an agent in that
project. The canvas is a graph of peer agents — there is no commander, no manager,
no fixed hierarchy. Use this skill to operate the live agent graph from the terminal.
Resolve the CLI first
Before running commands, resolve the agentmux executable in this order:
if [ -n "${AGENTMUX_BIN:-}" ] && [ -x "$AGENTMUX_BIN" ]; then
AGENTMUX_CLI="$AGENTMUX_BIN"
elif [ -x "vendor/agentmux/agentmux" ]; then
AGENTMUX_CLI="vendor/agentmux/agentmux"
elif command -v agentmux >/dev/null 2>&1; then
AGENTMUX_CLI="$(command -v agentmux)"
else
echo "agentmux runtime not found"
fi
Then run commands as "$AGENTMUX_CLI" ....
The skill is only the operating manual. The runtime comes from TermCanvas:
packaged apps bundle it, development checkouts use vendor/agentmux, and advanced
users may install agentmux on PATH.
Inside a TermCanvas-managed terminal, keep AGENTMUX_HOME unchanged. It points
the CLI at the app's live agent database; without it, the CLI may read a stale
default store and fail to see the current canvas.
Graph model
- Every agent is a peer. Any agent can spawn children, connect to any other agent in the same project, and delegate work.
- Spawning (
worker,child) records aspawnedge between spawner and child. Agents created without a parent are roots (depth 0, noparent_agent). connectwires any two agents with alinkedge. Edges are the addressing layer:ask/checkwork on agents you are connected to.- One project tag equals one canvas. Keep agents in the same project so TermCanvas can materialize them on that canvas.
- TermCanvas registers every fresh canvas terminal as a root agent at creation
(the shell carries
AGENTMUX_*env, so harnesses started inside inherit it). Other plain terminals can be adopted into the graph withimport(TermCanvas also does this automatically when you use its Connect UI).
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.
- 5d ago First seen · 202 lines · 87 tokens per session scan A 44f55853aafb
agentmux is a skill published in the GitHub repository lout33/termcanvas (24 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 2,178 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 2026-08-30.
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