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 yechao-zhang/red-team-agent-skills --skill agent-proxygit clone --depth 1 https://github.com/yechao-zhang/red-team-agent-skillsWrote 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/yechao-zhang/red-team-agent-skills/agent-proxy)<a href="https://agentmods.dev/skills/yechao-zhang/red-team-agent-skills/agent-proxy"><img src="https://agentmods.dev/badge/skills/yechao-zhang/red-team-agent-skills/agent-proxy/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/yechao-zhang/red-team-agent-skills/agent-proxy"><img src="https://agentmods.dev/badge/skills/yechao-zhang/red-team-agent-skills/agent-proxy.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 | $0.00085 | $0.01081 |
| Opus 5 | $0.00043 | $0.00541 |
| Sonnet 5 | $0.00017 | $0.00216 |
| Haiku 4.5 | $0.00009 | $0.00108 |
Grade A, and why
agent-proxy 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 12d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Proxy Skill
Universal API Gateway: Given a URL to any AI agent API, this skill auto-discovers the protocol (REST, WebSocket, Gradio) and conducts conversations.
Critical: This works WITHOUT needing:
- ❌ Access to the target agent's source code
- ❌ The target agent's dependencies installed
- ❌ Knowledge of the target agent's implementation
You only need the agent's API URL.
Note on Web UIs: For browser-based agents (ChatGPT, Gemini, etc.), please use the dev-browser skill or Red Team's BrowserTransport instead. This skill is strictly for APIs.
Installation
# Install agent-proxy dependencies
cd ~/.claude/skills/agent-proxy
pip install -r requirements.txt
Workflow
User provides URL → Auto-detect Protocol (API/WS) → Create Protocol Adapter → Communicate
Quick Start
from agent_proxy import AgentProxy
# Just give it a URL - it figures out the protocol automatically
proxy = AgentProxy()
proxy.connect("http://localhost:8080/v1/chat/completions") # API Endpoint
# Now Claude Code speaks AS the user
response = proxy.say("Hello, I need help with Python")
response = proxy.say("Can you show me an example?")
# Get full conversation
print(proxy.history)
proxy.close()
Supported Agent Types (Auto-detected)
The skill auto-detects these communication patterns:
| URL Pattern | Detection | Method |
|---|---|---|
*/v1/chat/completions |
OpenAI-compatible API | POST JSON |
*/v1/messages |
Anthropic API | POST JSON |
*/api/chat, */api/generate |
Ollama/LLM APIs | POST JSON |
*/api/sessions, */api/ws |
REST+WebSocket API | REST + WebSocket |
ws://, wss:// |
WebSocket | WS messages |
| Gradio apps | Gradio API | gradio_client |
| Custom endpoints | Probe & detect | Auto-detect |
Usage Modes
Mode 1: Auto-Detect (Recommended)
proxy = AgentProxy()
proxy.connect("https://api.some-agent.com/v1/chat") # Auto-detects protocol
response = proxy.say("Hello!")
What ships with it
7 files 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.
- 12d ago First seen · 155 lines · 85 tokens per session scan A 9dd6509de261
agent-proxy is a skill published in the GitHub repository yechao-zhang/red-team-agent-skills (5 stars, last pushed 7mo ago), licensed MIT. It adds 85 tokens to every session and 1,081 once invoked, about $0.0004 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 2026-08-31.
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