Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/instructions/mahir-isikli/claude-code-tmux/agents-md)<a href="https://agentmods.dev/instructions/mahir-isikli/claude-code-tmux/agents-md"><img src="https://agentmods.dev/badge/instructions/mahir-isikli/claude-code-tmux/agents-md.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 5.1 | $0.01520 | $0.01520 |
| Opus 5 | $0.00760 | $0.00760 |
| Sonnet 5 | $0.00304 | $0.00304 |
| Haiku 4.5 | $0.00152 | $0.00152 |
Grade C, and why
claude-code-tmux AGENTS.md scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf /tmp/ccmux-provider-smoke How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
claude-code-tmux agent notes
What this repo is
claude-code-tmux provides durable tmux control for interactive Claude Code sessions.
It ships three integration surfaces:
ccmuxCLI for humans and agents.- Pi extension tools:
ccmux_start,ccmux_send,ccmux_steer,ccmux_status,ccmux_capture. - Native Pi provider:
claude-code-tmux/opusandclaude-code-tmux/sonnet.
The package is published on npm and GitHub:
- npm:
claude-code-tmux - GitHub:
https://github.com/Mahir-Isikli/claude-code-tmux
Current working release
As of the native Pi tool bridge work, the working npm release is 0.5.0.
Important fixes in 0.2.1:
- Auto-detect and accept Claude Code workspace trust prompts in provider mode.
- Wait for Claude Code to be ready before sending the first provider prompt.
- Verify the pasted job id is visible in the tmux pane before submitting.
- Retry paste if tmux drops it.
- Submit with
C-minstead of literalEnter. - Provider mode requires a done JSON with
final_responseand returns that to Pi.
Important additions in 0.3.0:
- Generated Claude Code hook settings per ccmux session.
bin/ccmux-hook.mjscommand hook recorder.- Hook events stored under
~/.pi/ccmux/events/<job-id>.jsonl. ccmux events --job <job-id>andccmux events --session <name>for inspection.- Provider mode starts Claude Code with hooks enabled.
- Provider streams hook lifecycle/tool progress as thinking/progress deltas while preserving the final response text.
- Provider matrix script under
scripts/provider-matrix.mjs.
Important additions in 0.4.0:
ccmux_replay_tool_resultshadow replay tool.- Claude Code
PostToolUseandPostToolUseFailureevents are replayed into Pi as tool calls/results without re-running the underlying operation. - Matrix asserts
PiReplayToolResultevents.
Important additions in 0.5.0:
bin/ccmux-pi-tool.mjsbridge command for Claude Code to request native Pi tools.- Provider prompt includes a
pi_native_tool_bridgecommand pattern with available Pi tools. - Provider intercepts pending Pi tool requests and emits the requested native Pi tool call.
- Provider writes the real Pi tool result back for the blocking Claude Code bridge command.
- Matrix asserts
PiNativeToolRequestandPiNativeToolResultevents.
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 · 174 lines · 1,520 tokens per session scan C e3b839c7a8e5
claude-code-tmux AGENTS.md is an instructions file published in the GitHub repository Mahir-Isikli/claude-code-tmux (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,520 tokens to every session, about $0.0076 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.