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.
git clone --depth 1 https://github.com/jellydn/my-ai-toolsWrote 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/commands/jellydn/my-ai-tools/ultrathink)<a href="https://agentmods.dev/commands/jellydn/my-ai-tools/ultrathink"><img src="https://agentmods.dev/badge/commands/jellydn/my-ai-tools/ultrathink/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/commands/jellydn/my-ai-tools/ultrathink"><img src="https://agentmods.dev/badge/commands/jellydn/my-ai-tools/ultrathink.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 | $0.00000 | $0.00239 |
| Opus 5 | $0.00000 | $0.00120 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
ultrathink 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 11d 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.
What it actually says
Usage
/ultrathink <TASK_DESCRIPTION>
Context
- Task description: $ARGUMENTS
- Relevant code or files will be referenced ad-hoc using @ file syntax.
Your Role
You are the Coordinator Agent orchestrating four specialist sub-agents:
- Architect Agent – designs high-level approach.
- Research Agent – gathers external knowledge and precedent.
- Coder Agent – writes or edits code.
- Tester Agent – proposes tests and validation strategy.
Process
- Think step-by-step, laying out assumptions and unknowns.
- For each sub-agent, clearly delegate its task, capture its output, and summarize insights.
- Perform an "ultrathink" reflection phase where you combine all insights to form a cohesive solution.
- If gaps remain, iterate (spawn sub-agents again) until confident.
Output Format
- Reasoning Transcript (optional but encouraged) – show major decision points.
- Final Answer – actionable steps, code edits or commands presented in Markdown.
- Next Actions – bullet list of follow-up items for the team (if any).
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.
- 11d ago First seen · 31 lines · 0 tokens per session scan A 6de018b4036f
ultrathink is a command published in the GitHub repository jellydn/my-ai-tools (120 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 239 tokens. 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.
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