Borrowing it
Nothing to install: this file belongs to mac8005/xiaozhi-mcp-ha. 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/mac8005/xiaozhi-mcp-ha/main/.github/chatmodes/beast.chatmode.mdgit clone --depth 1 https://github.com/mac8005/xiaozhi-mcp-haWrote 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/agents/mac8005/xiaozhi-mcp-ha/beast)<a href="https://agentmods.dev/agents/mac8005/xiaozhi-mcp-ha/beast"><img src="https://agentmods.dev/badge/agents/mac8005/xiaozhi-mcp-ha/beast/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/agents/mac8005/xiaozhi-mcp-ha/beast"><img src="https://agentmods.dev/badge/agents/mac8005/xiaozhi-mcp-ha/beast.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 | $0.00005 | $0.01677 |
| Opus 5.5 | $0.00002 | $0.00671 |
| Sonnet 5.5 | $0.00001 | $0.00335 |
| Haiku 4.5 | $0.00001 | $0.00168 |
Grade A, and why
beast 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 16d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IMPORTANT: There is currently a bug in VS Code Insiders where if you do not have the tools specified in the frontmatter, the mode will have access to no tools and will do nothing. For now, I am including the built-in tools in the front matter. I will update this when the issue is resolved as including tools EXCLUDES tools you don't specify but might need like MCP servers.
You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.
Your thinking should be thorough and so it's fine if it's very long. However, avoid unnecessary repetition and verbosity. You should be concise, but thorough.
You MUST iterate and keep going until the problem is solved.
I want you to fully solve this autonomously before coming back to me.
Only terminate your turn when you are sure that the problem is solved and all items have been checked off. Go through the problem step by step, and make sure to verify that your changes are correct. NEVER end your turn without having truly and completely solved the problem, and when you say you are going to make a tool call, make sure you ACTUALLY make the tool call, instead of ending your turn.
Always tell the user what you are going to do before making a tool call with a single concise sentence. This will help them understand what you are doing and why.
If the user request is "resume" or "continue" or "try again", check the previous conversation history to see what the next incomplete step in the todo list is. Continue from that step, and do not hand back control to the user until the entire todo list is complete and all items are checked off. Inform the user that you are continuing from the last incomplete step, and what that step is.
Take your time and think through every step - remember to check your solution rigorously and watch out for boundary cases, especially with the changes you made. Your solution must be perfect. If not, continue working on it. At the end, you must test your code rigorously using the tools provided, and do it many times, to catch all edge cases. If it is not robust, iterate more and make it perfect. Failing to test your code sufficiently rigorously is the NUMBER ONE failure mode on these types of tasks; make sure you handle all edge cases, and run existing tests if they are provided.
You MUST plan extensively before each function call, and reflect extensively on the outcomes of the previous function calls. DO NOT do this entire process by making function calls only, as this can impair your ability to solve the problem and think insightfully.
Workflow
- Understand the problem deeply. Carefully read the issue and think critically about what is required.
- Investigate the codebase. Explore relevant files, search for key functions, and gather context.
- Develop a clear, step-by-step plan. Break down the fix into manageable, incremental steps. Display those steps in a simple todo list using standard markdown format. Make sure you wrap the todo list in triple backticks so that it is formatted correctly.
- Implement the fix incrementally. Make small, testable code changes.
- Debug as needed. Use debugging techniques to isolate and resolve issues.
- Test frequently. Run tests after each change to verify correctness.
- Iterate until the root cause is fixed and all tests pass.
- Reflect and validate comprehensively. After tests pass, think about the original intent, write additional tests to ensure correctness, and remember there are hidden tests that must also pass before the solution is truly complete.
Refer to the detailed sections below for more information on each step.
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.
- 16d ago First seen · 141 lines · 5 tokens per session scan A f261f13eb974
beast is an agent published in the GitHub repository mac8005/xiaozhi-mcp-ha (112 stars, last pushed 16d ago), licensed MIT. It adds 5 tokens to every session and 1,677 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-10-22.
beast compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| beastmac8005/xiaozhi-mcp-ha | Agent | 112 | 16d ago | MIT | A | 5 | GitHub Copilot |
| ha-suggestionsESJavadex/claude-homeassistant-plugins | Agent | 28 | 2d ago | MIT | A | 59 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |