cursor

A Cursor rule set for reading a bazi chart, a Chinese Four Pillars reading based on a person’s birth date and exact time.

In plain words
What is it for?
Generating and interpreting bazi charts from a Gregorian birth date and exact birth time.
Why use it?
It prevents the agent from inventing chart details and requires a precise birth hour before interpreting the result.

Cursor rule

Install

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.

agentmods
npx agentmods add rules/sapuyou45-bit/oraclebone/cursor
Clone the repo
git clone --depth 1 https://github.com/sapuyou45-bit/oraclebone
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 243 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00243
Opus 5 $0.00000 $0.00121
Sonnet 5 $0.00000 $0.00049
Haiku 4.5 $0.00000 $0.00024

Measured 2d ago against content hash e635ffe29631, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursor 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 2d 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.

skills/bazi/agents/cursor.mdc · 27 lines

What it actually says

Cursor adapter — Bazi (Four Pillars)

This skill lets the Cursor agent read a bazi chart.

Hard rules

  1. Never invent stems, branches, wuxing, or NaYin. Run the CLI:
    ai-divination bazi --datetime 1990-05-20T14:30:00
    
    The user must supply an exact birth hour; if they cannot, refuse to fabricate one.
  2. Parse the JSON output. Interpret using ../SKILL.md plus ../references/interpretation-template.md and ../references/pillars.md.
  3. Refuse medical / legal / financial / emergency / crisis advice — see ../../../shared/safety-policy.md.

When to trigger

Cast a bazi (Four Pillars) chart from a Gregorian birth date and exact time.

Default example

Read my bazi: born 1990-05-20 at 14:30.

Changes

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.

  1. 2d ago First seen · 27 lines · 0 tokens per session scan A e635ffe29631

Subscribe to this mod's changes

cursor is a cursor rule published in the GitHub repository sapuyou45-bit/oraclebone (4 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 243 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.

Related

Other cursor rules, from other repositories

retention-predictor

Skill — retention-predictor. Predicts retention potential via usage frequency, habit formation mechanics, and churn risk factors.

MaxKmet/idea-validation-agents · 24 tokens

pro-deck-builder

Create polished HTML slide decks and PDF-ready documents for consulting deliverables. Uses the RRBC design system with warm light mode, dark mode cover pages, Lora/Inter/Roboto Mono typography, and data visualization palette. Trigger on 'deck', 'slides', 'presentation', 'pitch deck', 'keynote', 'report', or 'PDF'.

thatrebeccarae/claude-marketing · 70 tokens

release-notes

Generate changelog entries and GitHub releases from git history. Categorizes commits into features, fixes, breaking changes, and docs. Supports conventional commits, PR-based grouping, and semantic versioning. Creates formatted CHANGELOG.md entries and GitHub releases.

thatrebeccarae/claude-marketing · 50 tokens

facebook-ads

Meta Ads (Facebook & Instagram) platform expertise. Audit campaigns, audiences, creative strategy, pixel tracking, and CAPI. Use when the user asks about Facebook Ads, Instagram Ads, Meta Ads, social media advertising, Advantage+ campaigns, or Meta pixel/CAPI setup.

thatrebeccarae/claude-marketing · 55 tokens

arcjet-ai-apps

Security guidance for AI/LLM endpoints — layered Arcjet protection with prompt injection, PII blocking, and token budgets.

arcjet/arcjet-plugin · 0 tokens

angular-20

This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.

angular/angular · 0 tokens