Borrowing it
Nothing to install: this file belongs to Rikinshah787/clawarmy. 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/Rikinshah787/clawarmy/main/.cursor/skills/overdrive/SKILL.mdgit clone --depth 1 https://github.com/Rikinshah787/clawarmyWrote 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/rikinshah787/clawarmy/overdrive)<a href="https://agentmods.dev/skills/rikinshah787/clawarmy/overdrive"><img src="https://agentmods.dev/badge/skills/rikinshah787/clawarmy/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/rikinshah787/clawarmy/overdrive"><img src="https://agentmods.dev/badge/skills/rikinshah787/clawarmy/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 | $0.00029 | $0.02173 |
| Opus 5.5 | $0.00012 | $0.00869 |
| Sonnet 5.5 | $0.00006 | $0.00435 |
| Haiku 4.5 | $0.00003 | $0.00217 |
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 293 lines · 29 tokens per session scan A 802556dcc613
overdrive is a skill published in the GitHub repository Rikinshah787/clawarmy (4 stars, last pushed 7mo ago), with no licence file. It adds 29 tokens to every session and 2,173 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 2026-08-31.
Other skills, from other repositories
react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. 57 rules across 8 categories for writing, reviewing, and refactoring React code.
performance-optimization
Use when performance requirements exist, profiling reveals bottlenecks, or Core Web Vitals need improvement. Do NOT use without evidence — premature optimization adds complexity.
performance-optimization
Use this skill when optimizing application performance across frontend (Core Web Vitals, bundles), backend (N+1 queries, connection pools, caching), and database (indexes, query plans). Profiles before fixing, pinpoints actual bottlenecks rather than assumed ones, verifies improvements by re-measuring the same way as…
performance-optimizer
A performance improvement assistant that analyses applications, identifies bottlenecks, and suggests ways to make them faster.
Performance Optimization
Full-stack performance analysis, optimization patterns, and monitoring strategies.
vercel-react
React/Next.js performance — 70 rules (waterfalls, bundle, re-renders). Use when reviewing or writing React/Next.js code.