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 jellydn/my-ai-tools --skill tmuxgit clone --depth 1 https://github.com/jellydn/my-ai-toolsWrote 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/jellydn/my-ai-tools/tmux)<a href="https://agentmods.dev/skills/jellydn/my-ai-tools/tmux"><img src="https://agentmods.dev/badge/skills/jellydn/my-ai-tools/tmux/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/jellydn/my-ai-tools/tmux"><img src="https://agentmods.dev/badge/skills/jellydn/my-ai-tools/tmux.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.01288 |
| Opus 5 | $0.00009 | $0.00644 |
| Sonnet 5 | $0.00003 | $0.00258 |
| Haiku 4.5 | $0.00002 | $0.00129 |
Grade A, and why
tmux scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🚀 tmux Skill
Control tmux sessions programmatically to run interactive terminal applications (REPLs, debuggers, databases) without blocking.
📋 Quickstart (Easy Way)
Use LogPilot for automatic output capture + AI analysis:
# Install LogPilot
cargo install logpilot
# Watch your tmux session
logpilot watch mysession --pane mysession:0.0
# Ask AI about what's happening
logpilot ask "What errors appeared?"
logpilot summarize --last 5m
Add to Claude Code: claude mcp add --scope user logpilot -- logpilot mcp-server
📋 Manual Control (Raw tmux)
Use isolated sockets to avoid conflicts with personal tmux:
# Setup socket
export SOCKET="${TMPDIR:-/tmp}/ai-tmux-sockets/agent.sock"
mkdir -p "$(dirname "$SOCKET")"
# Create session and run
SESSION=agent-py
tmux -S "$SOCKET" new -d -s "$SESSION"
tmux -S "$SOCKET" send-keys -t "$SESSION" 'python3 -q' Enter
# Capture output manually
tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION" -S -100
# Cleanup
tmux -S "$SOCKET" kill-session -t "$SESSION"
📋 Core Commands
| Action | Command |
|---|---|
| New session | tmux -S "$SOCKET" new -d -s NAME |
| Send keys | tmux -S "$SOCKET" send-keys -t NAME 'cmd' Enter |
| Send literal | tmux -S "$SOCKET" send-keys -t NAME -l 'text' |
| Capture output | tmux -S "$SOCKET" capture-pane -p -J -t NAME -S -N |
| List sessions | tmux -S "$SOCKET" list-sessions |
| Kill session | tmux -S "$SOCKET" kill-session -t NAME |
Control keys: C-c (SIGINT), C-d (EOF), C-z (suspend), Escape
📋 Interactive Recipes
🔁 Python REPL
SESSION=agent-py
SOCKET="${TMPDIR:-/tmp}/ai-tmux-sockets/agent.sock"
tmux -S "$SOCKET" new -d -s "$SESSION"
tmux -S "$SOCKET" send-keys -t "$SESSION" 'PYTHON_BASIC_REPL=1 python3 -q' Enter
sleep 1
tmux -S "$SOCKET" send-keys -t "$SESSION" -l 'print(2+2)'
tmux -S "$SOCKET" send-keys -t "$SESSION" Enter
tmux -S "$SOCKET" capture-pane -p -J -t "$SESSION" -S -10
tmux -S "$SOCKET" kill-session -t "$SESSION"
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 · 147 lines · 17 tokens per session scan A 9bc1eb2931ee
tmux is a skill published in the GitHub repository jellydn/my-ai-tools (120 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 1,288 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.
Other skills, from other repositories
geo-explorer
A Chinese-language skill that explores countries, regions, and international topics through geography, history, resources, and relationships between places.
ask-first
Use only when explicitly invoked to clarify ambiguous, analogy-driven, meta-level, weakly delegated, or under-specified requests before execution.
insight-miner
Only invoke when explicitly requested via "洞见"、"@insight-miner" or "insight". Do NOT auto-trigger.
strategic-product-advisor
A Chinese-language product-strategy guide for evaluating what a product is for, whom it serves, and how it could grow.
book-recommender
A Chinese-language book recommendation and analysis skill that evaluates what books are about, whether they are worth reading, and how to read them.
history-autopsy
A structured overview of a major historical event or long-term historical process, covering its causes, development, results, and effects. It also connects the past to current events and adds memorable points for conversation.