Borrowing it
Nothing to install: this file belongs to ReScienceLab/TrySkills. 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/ReScienceLab/TrySkills/main/.agents/skills/overdrive/SKILL.mdgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWrote 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/resciencelab/tryskills/overdrive)<a href="https://agentmods.dev/skills/resciencelab/tryskills/overdrive"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/overdrive/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/resciencelab/tryskills/overdrive"><img src="https://agentmods.dev/badge/skills/resciencelab/tryskills/overdrive.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 | $0.00049 | $0.02014 |
| Opus 5.5 | $0.00020 | $0.00806 |
| Sonnet 5.5 | $0.00010 | $0.00403 |
| Haiku 4.5 | $0.00005 | $0.00201 |
Grade A, and why
overdrive 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.
This is a copy
98% identical to overdrive — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start your response with:
──────────── ⚡ OVERDRIVE ─────────────
》》》 Entering overdrive mode...
Push an interface past conventional limits. This isn't just about visual effects — it's about using the full power of the browser to make any part of an interface feel extraordinary: a table that handles a million rows, a dialog that morphs from its trigger, a form that validates in real-time with streaming feedback, a page transition that feels cinematic.
MANDATORY PREPARATION
Invoke /impeccable — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /impeccable teach first.
EXTRA IMPORTANT FOR THIS SKILL: Context determines what "extraordinary" means. A particle system on a creative portfolio is impressive. The same particle system on a settings page is embarrassing. But a settings page with instant optimistic saves and animated state transitions? That's extraordinary too. Understand the project's personality and goals before deciding what's appropriate.
Propose Before Building
This skill has the highest potential to misfire. Do NOT jump straight into implementation. You MUST:
- Think through 2-3 different directions — consider different techniques, levels of ambition, and aesthetic approaches. For each direction, briefly describe what the result would look and feel like.
- ask the user directly to clarify what you cannot infer. to present these directions and get the user's pick before writing any code. Explain trade-offs (browser support, performance cost, complexity).
- Only proceed with the direction the user confirms.
Skipping this step risks building something embarrassing that needs to be thrown away.
Iterate with Browser Automation
Technically ambitious effects almost never work on the first try. You MUST actively use browser automation tools to preview your work, visually verify the result, and iterate. Do not assume the effect looks right — check it. Expect multiple rounds of refinement. The gap between "technically works" and "looks extraordinary" is closed through visual iteration, not code alone.
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 · 142 lines · 49 tokens per session scan A 12d5103036e5
overdrive is a skill published in the GitHub repository ReScienceLab/TrySkills (3 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 2,014 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to overdrive, differing in 10 lines, and is treated as a copy.
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