Borrowing it
Nothing to install: this file belongs to mindroom-ai/mindroom. 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/mindroom-ai/mindroom/main/.claude/skills/agent-cli-dev/SKILL.mdgit clone --depth 1 https://github.com/mindroom-ai/mindroomWrote 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/mindroom-ai/mindroom/agent-cli-dev)<a href="https://agentmods.dev/skills/mindroom-ai/mindroom/agent-cli-dev"><img src="https://agentmods.dev/badge/skills/mindroom-ai/mindroom/agent-cli-dev/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/mindroom-ai/mindroom/agent-cli-dev"><img src="https://agentmods.dev/badge/skills/mindroom-ai/mindroom/agent-cli-dev.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 | $0.00049 | $0.01309 |
| Opus 5.5 | $0.00020 | $0.00524 |
| Sonnet 5.5 | $0.00010 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade D, and why
agent-cli-dev scanned grade D with 2 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 1mo 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.
Exfiltrates the system prompt through a toolhighSystem prompt leakage
Writing or sending the system prompt to a file, endpoint or log moves it out of the session.
# 1. Write prompt to file (Claude does this with the Write tool) Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
agent-cli dev run <branch-name> -- cat .claude/REPORT.md How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Development with agent-cli dev
This skill teaches you how to spawn parallel AI coding agents in isolated git worktrees using the agent-cli dev command.
Installation
If agent-cli is not available, install it first:
# Install globally
uv tool install agent-cli
# Or run directly without installing
uvx agent-cli dev new <branch-name> --agent claude --prompt "..."
These examples use the valued --agent syntax verified with agent-cli 0.105.2.
Older releases can differ; check agent-cli dev new --help for your installed version.
When to spawn parallel agents
Spawn separate agents when:
- Multiple independent features/tasks can be worked on in parallel
- Tasks benefit from isolation (separate branches, no conflicts)
- Large refactoring that can be split by module/component
- Test-driven development (one agent for tests, one for implementation)
Do NOT spawn when:
- Tasks are small and sequential
- Tasks have tight dependencies requiring constant coordination
- The overhead of context switching exceeds the benefit
Core command
For short prompts:
agent-cli dev new <branch-name> --agent claude --prompt "Fix the login bug"
For longer prompts (recommended for multi-line or complex instructions):
agent-cli dev new <branch-name> --agent claude --prompt-file path/to/prompt.md
The examples select Claude explicitly; replace claude with your chosen agent name.
Omit --agent claude to use the configured or auto-detected agent: --prompt and --prompt-file already imply starting it.
This creates:
- A new git worktree with its own branch
- Runs project setup (installs dependencies)
- Attempts to launch the AI coding agent in the detected terminal or multiplexer; if no supported terminal is available or launch fails, prints manual launch instructions
- Passes your prompt to the agent
To start the default agent without an initial prompt, use:
agent-cli dev new <branch-name> --start-agent
Important: Use --prompt-file for prompts longer than a single line. The --prompt option passes text through the shell, which can cause issues with special characters (exclamation marks, dollar signs, backticks, quotes) in ZSH and other shells. Using --prompt-file avoids all shell quoting issues.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +14 lines 0bf8d575f573
- 1mo ago First seen · 144 lines · 49 tokens per session scan D 54fe22c81fea
agent-cli-dev is a skill published in the GitHub repository mindroom-ai/mindroom (346 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 1,309 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it D with 2 findings (exfiltrates the system prompt through a tool, reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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