cursor-rules

cursor-rules is a cursor rule for coding agents from zhengbowenai-cmd/caliper. It costs 0 tokens per session (454 once invoked), scanned A, original, MIT.

A set of Cursor rules for testing and reviewing changes to prompts or SKILL.md instruction files. It uses the Caliper command-line tool to compare versions, find conflicts, and measure whether edits improve results.

In plain words
What is it for?
Use it to lint long instructions, run A/B comparisons between prompt versions, measure paragraph-level effects, or automatically try revisions within a cost limit.
Why use it?
It replaces subjective judgments about prompt edits with repeatable tests and statistical evidence.

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/zhengbowenai-cmd/caliper/cursor-rules
Clone the repo
git clone --depth 1 https://github.com/zhengbowenai-cmd/caliper

Wrote 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.

agentmods badge for cursor-rules

README.md
[![agentmods](https://agentmods.dev/badge/rules/zhengbowenai-cmd/caliper/cursor-rules.svg)](https://agentmods.dev/rules/zhengbowenai-cmd/caliper/cursor-rules)
Your own site
<a href="https://agentmods.dev/rules/zhengbowenai-cmd/caliper/cursor-rules"><img src="https://agentmods.dev/badge/rules/zhengbowenai-cmd/caliper/cursor-rules.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 454 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 $0.00454
Opus 5 $0.00000 $0.00227
Sonnet 5 $0.00000 $0.00091
Haiku 4.5 $0.00000 $0.00045

Measured 4d ago against content hash 5d3a3b02fe7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cursor-rules 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 4d 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/caliper/cursor-rules.mdc · 57 lines

What it actually says

Caliper — Cursor rule

Use the caliper CLI when the user wants statistical evidence that a prompt change is real, not just "feels better."

Trigger words

  • "is this prompt better"
  • "A/B test these prompts"
  • "did my edit help"
  • "find conflicts in this prompt"
  • "which paragraph is dragging it down"
  • 中文:新版 prompt / 真比旧版好 / 对比 / 测一测

Quick reference

# 1) Static check for rule conflicts (no LLM cost)
caliper lint path/to/prompt.md

# 2) Head-to-head A/B with confidence interval
caliper compare old.md new.md --eval cases.jsonl --run-dir runs/cmp

# 3) Auto-iterate with hard cost cap (no surprise bills)
caliper iterate seed.md --eval cases.jsonl --rounds 3 --max-cost-cny 50

# 4) Per-paragraph attribution
caliper analyze prompt.md --eval cases.jsonl

How to read the verdict

  • BCa 95% CI excludes 0 → real change (positive or negative)
  • BCa CI crosses 0 → noise; no statistical signal
  • Hedges' g: 0.2 small · 0.5 medium · 0.8+ large

Aim for n ≥ 20 in eval cases for meaningful statistical power.

Eval JSONL format

{"id": "case-01", "input": "user prompt", "principle": "what's tested", "rubric": "0-10 grading"}

Repo

https://github.com/zhengbowenai-cmd/caliper

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. 4d ago First seen · 57 lines · 0 tokens per session scan A 5d3a3b02fe7f

Subscribe to this mod's changes

cursor-rules is a cursor rule published in the GitHub repository zhengbowenai-cmd/caliper (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 454 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.