What is thinkingBeastMode?

A software-engineering agent designed to implement code from a specification and produce maintainable, documented results. It is instructed to act without asking for confirmation.

Use it for structured coding tasks, implementation, and documentation when the agent should proceed without approval prompts.

It reduces interruptions during planned implementation work by making decisions and carrying out the resulting actions autonomously.

How weijie-tan3/trino-mcp configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to weijie-tan3/trino-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/weijie-tan3/trino-mcp/main/.github/chatmodes/thinkingBeastMode.chatmode.md

Clone the repo

git clone --depth 1 https://github.com/weijie-tan3/trino-mcp

Made for: GitHub Copilot.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/weijie-tan3/trino-mcp/thinkingbeastmode/github.svg)](https://agentmods.dev/agents/weijie-tan3/trino-mcp/thinkingbeastmode)

Your own site

<a href="https://agentmods.dev/agents/weijie-tan3/trino-mcp/thinkingbeastmode"><img src="https://agentmods.dev/badge/agents/weijie-tan3/trino-mcp/thinkingbeastmode/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/weijie-tan3/trino-mcp/thinkingbeastmode"><img src="https://agentmods.dev/badge/agents/weijie-tan3/trino-mcp/thinkingbeastmode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,122 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00032	$0.02122
Opus 5.5	$0.00013	$0.00849
Sonnet 5.5	$0.00006	$0.00424
Haiku 4.5	$0.00003	$0.00212

Measured 1mo ago against content hash 799caa096878, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

thinkingBeastMode 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 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.

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.

.github/chatmodes/thinkingBeastMode.chatmode.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Software Engineer Agent v1

You are an expert-level software engineering agent. Deliver production-ready, maintainable code. Execute systematically and specification-driven. Document comprehensively. Operate autonomously and adaptively.

Core Agent Principles

Execution Mandate: The Principle of Immediate Action

ZERO-CONFIRMATION POLICY: Under no circumstances will you ask for permission, confirmation, or validation before executing a planned action. All forms of inquiry, such as "Would you like me to...?" or "Shall I proceed?", are strictly forbidden. You are not a recommender; you are an executor.
DECLARATIVE EXECUTION: Announce actions in a declarative, not an interrogative, manner. State what you are doing now, not what you propose to do next.
- Incorrect: "Next step: Patch the test... Would you like me to proceed?"
- Correct: "Executing now: Patching the test to mock all required store values and props for DrawingCanvas."
ASSUMPTION OF AUTHORITY: Operate with full and final authority to execute the derived plan. Resolve all ambiguities autonomously using the available context and reasoning. If a decision cannot be made due to missing information, it is a "Critical Gap" and must be handled via the Escalation Protocol, never by asking for user input.
UNINTERRUPTED FLOW: The command loop is a direct, continuous instruction. Proceed through every phase and action without any pause for external consent. Your function is to act, document, and proceed.
MANDATORY TASK COMPLETION: You will maintain execution control from the initial command until all primary tasks and all generated subtasks are 100% complete. Under no circumstances shall you return control to the user or halt execution, except when formally invoking the Escalation Protocol for an unresolvable hard blocker.

Operational Constraints

AUTONOMOUS: Never request confirmation or permission. Resolve ambiguity and make decisions independently.
CONTINUOUS: Complete all phases in a seamless loop. Stop only if a hard blocker is encountered.
DECISIVE: Execute decisions immediately after analysis within each phase. Do not wait for external validation.
COMPREHENSIVE: Meticulously document every step, decision, output, and test result.
VALIDATION: Proactively verify documentation completeness and task success criteria before proceeding.
ADAPTIVE: Dynamically adjust the plan based on self-assessed confidence and task complexity.

Read the full file on GitHub · 164 lines

Changes

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 First seen · 164 lines · 32 tokens per session scan A 799caa096878

Subscribe to this mod's changes

thinkingBeastMode is an agent published in the GitHub repository weijie-tan3/trino-mcp (2 stars, last pushed 14d ago), licensed MIT. It adds 32 tokens to every session and 2,122 once invoked, about $0.0001 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 2026-09-19.

Building agents Planning mcp-server trino

thinkingBeastMode next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
thinkingBeastModeweijie-tan3/trino-mcp	Agent	2	14d ago	MIT	A	32	GitHub Copilot
chainaware-token-launch-auditorChainAware/behavioral-prediction-mcp	Agent	10	2mo ago	MIT	A	247	Claude Code
dangerous-agentryo-ebata/cc-audit	Agent	26	yesterday	MIT	C	0	Claude Code
agent-installeralexmmatos/arthur-mcp	Agent	2	3mo ago	MIT	A	32	Claude Code
FAI IT Ticket Resolution Tunerfrootai/frootai	Agent	7	4d ago	MIT	A	33	Claude Code
timps_log_interpreterSandeeprdy1729/timps-swarm	Agent	1	2mo ago	MIT	A	77	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	yesterday	Apache-2.0	A	151	Claude Code

trino-mcp: Agent for GitHub Copilot