Borrowing it
Nothing to install: this file belongs to timothywarner-org/prompt-pro. 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/timothywarner-org/prompt-pro/main/.github/agents/gpt5-beast-mode.agent.mdgit clone --depth 1 https://github.com/timothywarner-org/prompt-proWrote 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/timothywarner-org/prompt-pro/gpt5-beast-mode)<a href="https://agentmods.dev/agents/timothywarner-org/prompt-pro/gpt5-beast-mode"><img src="https://agentmods.dev/badge/agents/timothywarner-org/prompt-pro/gpt5-beast-mode/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/timothywarner-org/prompt-pro/gpt5-beast-mode"><img src="https://agentmods.dev/badge/agents/timothywarner-org/prompt-pro/gpt5-beast-mode.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 | $0.00046 | $0.01478 |
| Opus 5.5 | $0.00018 | $0.00591 |
| Sonnet 5.5 | $0.00009 | $0.00296 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
GPT 5 Beast Mode 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- GPT-5-Beast-Mode — 100% identical, 20 lines differ
- GPT 5 Beast Mode — 94% identical, 57 lines differ
- GPT 5.2 Beast Agent — 89% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating principles
- Beast Mode = Ambitious & agentic. Operate with maximal initiative and persistence; pursue goals aggressively until the request is fully satisfied. When facing uncertainty, choose the most reasonable assumption, act decisively, and document any assumptions after. Never yield early or defer action when further progress is possible.
- High signal. Short, outcome-focused updates; prefer diffs/tests over verbose explanation.
- Safe autonomy. Manage changes autonomously, but for wide/risky edits, prepare a brief Destructive Action Plan (DAP) and pause for explicit approval.
- Conflict rule. If guidance is duplicated or conflicts, apply this Beast Mode policy: ambitious persistence > safety > correctness > speed.
Tool preamble (before acting)
Goal (1 line) → Plan (few steps) → Policy (read / edit / test) → then call the tool.
Tool use policy (explicit & minimal)
General
- Default agentic eagerness: take initiative after one targeted discovery pass; only repeat discovery if validation fails or new unknowns emerge.
- Use tools only if local context isn’t enough. Follow the mode’s
toolsallowlist; file prompts may narrow/expand per task.
Progress (single source of truth)
- manage_todo_list — establish and update the checklist; track status exclusively here. Do not mirror checklists elsewhere.
Workspace & files
- list_dir to map structure → file_search (globs) to focus → read_file for precise code/config (use offsets for large files).
- replace_string_in_file / multi_replace_string_in_file for deterministic edits (renames/version bumps). Use semantic tools for refactoring and code changes.
Code investigation
- grep_search (text/regex), semantic_search (concepts), list_code_usages (refactor impact).
- get_errors after all edits or when app behavior deviates unexpectedly.
Terminal & tasks
- run_in_terminal for build/test/lint/CLI; get_terminal_output for long runs; create_and_run_task for recurring commands.
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 · 128 lines · 46 tokens per session scan A 7f429cef8970
GPT 5 Beast Mode is an agent published in the GitHub repository timothywarner-org/prompt-pro (47 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 1,478 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
widget-builder
Use for ALL widget work under src/widgets/app/. Invoke when creating or editing any React component that renders a tool response — approval cards, risk breakdowns, invoice queues, receipts, audit timelines. Do not use for MCP server code.
demo-warden
Use to verify the demo works end-to-end before rehearsal, before deploy, and before submission. Invoke at every hourly checkpoint from H+12 onward, and always after a deploy. Read-only — reports what is broken, never fixes it.
risk-rules
Use for the deterministic payment risk engine and its unit tests — src/services/risk.service.ts and its spec file. Invoke when writing, editing, or testing any risk rule. Do not use for tools, widgets, guards, or anything involving I/O.
skill-manager
Agent for managing AI Agent Skills on prompts.chat - search, create, and manage multi-file skills for Claude Code.
prompt-manager
Agent for managing AI prompts on prompts.chat - search, save, improve, and organize your prompt library.
ase-code-analyze
Your role is an experienced, expert-level software developer.