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/quantskills/skill-factor-mineWrote 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/rules/quantskills/skill-factor-mine/cursor-rule)<a href="https://agentmods.dev/rules/quantskills/skill-factor-mine/cursor-rule"><img src="https://agentmods.dev/badge/rules/quantskills/skill-factor-mine/cursor-rule/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/rules/quantskills/skill-factor-mine/cursor-rule"><img src="https://agentmods.dev/badge/rules/quantskills/skill-factor-mine/cursor-rule.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 | $0.00475 |
| Opus 5.5 | $0.00000 | $0.00190 |
| Sonnet 5.5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
cursor-rule 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
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 36 lines · 0 tokens per session scan A a014f195a07d
cursor-rule is a cursor rule published in the GitHub repository quantskills/skill-factor-mine (8 stars, last pushed 3mo ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 475 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 2026-08-31.
Other cursor rules, from other repositories
lighter-safety
Safety contract for the Lighter MCP server. Apply whenever a lighter tool is invoked.
elizaos_v2_onchain_plugins
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ Wallet Provider│ │ Connection Mgmt │ │ Transaction Svc │ │ - Private Keys │───▶│ - RPC Endpoints │───▶│ - Tx Construction│ │ - Public Keys │ │ - Network Config │ │ - Fee Estimation│ │ - Signatures │ │ - Health Check │ │ - Broadcasting │ └─────────────────┘…
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.