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/GGbond-bo/MemOmics-AgentWrote 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/ggbond-bo/memomics-agent/cursorrules)<a href="https://agentmods.dev/rules/ggbond-bo/memomics-agent/cursorrules"><img src="https://agentmods.dev/badge/rules/ggbond-bo/memomics-agent/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/ggbond-bo/memomics-agent/cursorrules"><img src="https://agentmods.dev/badge/rules/ggbond-bo/memomics-agent/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 | $0.01515 | $0.01515 |
| Opus 5 | $0.00758 | $0.00758 |
| Sonnet 5 | $0.00303 | $0.00303 |
| Haiku 4.5 | $0.00152 | $0.00152 |
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 6d 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
100% identical to cursorrules — 0 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Figure Skill — Scientific Figure Making Rules
Place this file at: /.cursorrules
Cursor auto-loads it. Generated: 2026-07-05 13:39 UTC
You are helping create scientific figures for Nature/Cell/Science journals. Follow these rules when writing matplotlib/ggplot2/ComplexHeatmap code.
Academic Figure Skill Portable Core Rules
Auto-generated from academic-figure-skill/SKILL.md — 2026-07-05 13:39 UTC
These rules work across Claude Code, Codex, Cursor, and Copilot.
Design Principles
- One figure, one core message. Remove gridlines, borders, and redundant legends.
- Restrained color > abundant color. Use 2-4 semantic colors + 1 accent. Never default palettes.
- Design for print, not screen. Single column 89mm, double column 183mm.
- Vector first, raster fallback. PDF/SVG/EPS for line art; TIFF/PNG (≥300dpi) for raster.
Color Palette — COPY VERBATIM
# Academic Figure Skill Nature/Cell/Science Color Palette -- COPY VERBATIM
CATEGORICAL = ["#2166AC", "#B2182B", "#1B7837", "#F1A340", "#762A83", "#666666"]
CATEGORICAL_EXTENDED = [
"#2166AC", "#B2182B", "#1B7837", "#F1A340", "#762A83", "#666666",
"#4393C3", "#D6604D", "#5AAE61", "#B35806", "#9970AB", "#999999",
]
DIVERGING = ["#2166AC", "#F7F7F7", "#B2182B"]
SEQUENTIAL = ["#F7FBFF", "#6BAED6", "#08306B"]
ACCENT_RED = "#B2182B"
GREY = "#999999"
BLACK = "#222222"
# Academic Figure Skill Nature/Cell/Science Color Palette -- COPY VERBATIM
categorical <- c("#2166AC", "#B2182B", "#1B7837", "#F1A340", "#762A83", "#666666")
categorical_extended <- c(
"#2166AC", "#B2182B", "#1B7837", "#F1A340", "#762A83", "#666666",
"#4393C3", "#D6604D", "#5AAE61", "#B35806", "#9970AB", "#999999"
)
diverging <- c("#2166AC", "#F7F7F7", "#B2182B")
sequential <- c("#F7FBFF", "#6BAED6", "#08306B")
accent_red <- "#B2182B"
grey <- "#999999"
black <- "#222222"
Color roles: Blue (#2166AC) = control/baseline. Red (#B2182B) = emphasis/up-regulated. Green (#1B7837) = treatment/recovery. Grey (#999999/#666666) = background/non-significant. Never use jet/rainbow or default matplotlib/seaborn palettes.
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.
- 6d ago First seen · 134 lines · 1,515 tokens per session scan A 48c4434c0822
cursorrules is a cursor rule published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 7d ago), licensed MIT. It adds 1,515 tokens to every session, about $0.0076 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cursorrules, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
prototype-previewer
Build interactive prototype reviewers with synced review notes and Figma capture pages.
7-day-nextjs-web-design-cursor
A seven-day design workflow for web products that will be built in Next.js.
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.
cli-error-handling
CLI command error handling patterns.