Borrowing it
Nothing to install: this file belongs to SkeneTechnologies/plg-skills. 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/SkeneTechnologies/plg-skills/main/.cursorrulesgit clone --depth 1 https://github.com/SkeneTechnologies/plg-skillsWrote 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/skenetechnologies/plg-skills/cursorrules)<a href="https://agentmods.dev/rules/skenetechnologies/plg-skills/cursorrules"><img src="https://agentmods.dev/badge/rules/skenetechnologies/plg-skills/cursorrules/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/skenetechnologies/plg-skills/cursorrules"><img src="https://agentmods.dev/badge/rules/skenetechnologies/plg-skills/cursorrules.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 | $0.00125 | $0.00125 |
| Opus 5.5 | $0.00050 | $0.00050 |
| Sonnet 5.5 | $0.00025 | $0.00025 |
| Haiku 4.5 | $0.00013 | $0.00013 |
Grade A, and why
cursorrules 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 2mo 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
This repo is a Markdown skill library for Product-Led Growth (PLG).
- Skills live in
skills/<skill-name>/SKILL.md - Preserve the YAML front matter (
name,description) and keepnamealigned with the directory name - Prefer dense, actionable frameworks, checklists, and copy/paste templates
- Add cross-references to other skills using backticks (e.g.
growth-loops) - When adding a new skill, also update
README.md(tables + count)
See .cursor/rules/plg-skills.mdc for the full repo guidance.
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.
- 2mo ago First seen · 11 lines · 125 tokens per session scan A 119ae4c9b23d
cursorrules is a cursor rule published in the GitHub repository SkeneTechnologies/plg-skills (20 stars, last pushed 9mo ago), licensed MIT. It adds 125 tokens to every session, about $0.0005 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 cursor rules, from other repositories
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.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.
config-validation-and-normalization
Config validation and normalization responsibilities (defineConfig normalizes, the orm section schema validates and resolves paths, the loader reports per-section diagnostics).