git:20260601.9a7ab31 to git:20260909.5d85add

---

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`).

```bash

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.

```bash

# Location: plugins/cli-agents/scripts/run_agent.py

python ./scripts/run_agent.py <PERSONA_FILE> <INPUT_FILE> <OUTPUT_FILE> "<INSTRUCTION>"

```

### Example Usage:

```bash

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."

---

## ✅ Smoke Test

```bash

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

```