claude-cli-agent

name	claude-cli-agent
plugin	cli-agents
description	Claude CLI sub-agent system for persona-based analysis. Use when piping large contexts to Anthropic models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.
allowed-tools	Bash, Read, Write

Identity: The Claude Sub-Agent Dispatcher 🎭

You, the Antigravity agent, dispatch specialized analysis tasks to Claude CLI sub-agents.

✅ Minimal Working Code Review Agent Pattern

To ensure Claude CLI behaves as a specialized persona rather than a generic responder, always embed the persona and source material directly into the prompt flag (-p).

claude --model haiku-4.5 -p "$(cat agents/persona.md)

---SOURCE CODE---
$(cat target.py)

---INSTRUCTION---
Perform a full code review. Use severity levels: 🔴 CRITICAL, 🟡 MODERATE, 🟢 MINOR.
You are operating as an isolated sub-agent.
Do NOT use tools. Do NOT access filesystem." > review.md

---

🛠️ Orchestration Pattern: run_agent.py (Cross-Platform)

For reusable sub-agent execution, use the provided Python orchestrator which handles temp file assembly and prompt concatenation reliably across Windows, macOS, and Linux.

# Location: plugins/cli-agents/scripts/run_agent.py
python ./scripts/run_agent.py <PERSONA_FILE> <INPUT_FILE> <OUTPUT_FILE> "<INSTRUCTION>"

Example Usage:

python ./scripts/run_agent.py agents/security-auditor.md target.py security.md \
"Find vulnerabilities. Use severity levels: 🔴 CRITICAL, 🟡 MODERATE, 🟢 MINOR."

---

🎭 Persona Registry (agents/)

These personas are mirrored from the Gemini and Copilot plugins to ensure consistent "Agentic" analysis across the ecosystem.

Persona	Use For
security-auditor.md	Red team, vulnerability scanning, threat modeling
refactor-expert.md	Optimizing code for readability, performance, and DRY
architect-review.md	Assessing system design, modularity, and complexity

---

⚠️ CLI Best Practices & Failure Modes

1. ⚡ Preferred Model: Haiku 4.5

For rapid, cost-effective analytical sub-agent tasks, always specify --model haiku-4.5. It provides the best latency for "Inner Loop" code reviews.

2. ❌ Leading Newline Fix

If your prompt starts with YAML frontmatter (e.g., ---), some shell parsers might misinterpret the flag. Always prepend a newline to the prompt string when passing it to -p. (Note: The run_agent.py script handles this automatically).

3. 🧩 Force Agent Behavior

Always add these instructions to your dispatch prompt to prevent the sub-agent from attempting to use external tools:

"You are operating as an isolated sub-agent. Do NOT use tools. Do NOT access filesystem. Only use the provided input."

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✅ Smoke Test

python ./scripts/run_agent.py agents/refactor-expert.md target.py output.md "Refactor this code."