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.
npx agentmods add rules/waynesutton/promptstack/cursorrulesgit clone --depth 1 https://github.com/waynesutton/promptstackWhat 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 | $0.02013 | $0.02013 |
| Opus 5 | $0.01007 | $0.01007 |
| Sonnet 5 | $0.00403 | $0.00403 |
| Haiku 4.5 | $0.00201 | $0.00201 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This document serves as some special instructions when working with Convex.
best practices
https://docs.convex.dev/understanding/best-practices/
dev workflow
https://docs.convex.dev/understanding/workflow
#typescript https://docs.convex.dev/understanding/best-practices/typescript
Schemas
When designing the schema please see this page on built in System fields and data types available: https://docs.convex.dev/database/types
also use Standard Schema https://github.com/standard-schema/standard-schema
Here are some specifics that are often mishandled:
validator (https://docs.convex.dev/api/modules/values#v)
The validator builder.
This builder allows you to build validators for Convex values.
Validators can be used in schema definitions and as input validators for Convex functions.
Type declaration
Name Type
id (tableName: TableName) => VId<GenericId, "required">
null () => VNull<null, "required">
number () => VFloat64<number, "required">
float64 () => VFloat64<number, "required">
bigint () => VInt64<bigint, "required">
int64 () => VInt64<bigint, "required">
boolean () => VBoolean<boolean, "required">
string () => VString<string, "required">
bytes () => VBytes<ArrayBuffer, "required">
literal (literal: T) => VLiteral<T, "required">
array (element: T) => VArray<T["type"][], T, "required">
object (fields: T) => VObject<Expand<{ [Property in string | number | symbol]?: Exclude<Infer<T[Property]>, undefined> } & { [Property in string | number | symbol]: Infer<T[Property]> }>, T, "required", { [Property in string | number | symbol]: Property | ${Property & string}.${T[Property]["fieldPaths"]} }[keyof T] & string>
record <Key, Value>(keys: Key, values: Value) => VRecord<Record<Infer, Value["type"]>, Key, Value, "required", string>
union (...members: T) => VUnion<T[number]["type"], T, "required", T[number]["fieldPaths"]>
any () => VAny<any, "required", string>
optional (value: T) => VOptional
System fields (https://docs.convex.dev/database/types#system-fields)
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.
- 2d ago First seen · 201 lines · 2,013 tokens per session scan A f56486d7eeb5
cursorrules is a cursor rule published in the GitHub repository waynesutton/promptstack (76 stars, last pushed 1y ago), licensed MIT. It adds 2,013 tokens to every session, about $0.0101 per session on Opus 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
README
Professional README Standards for GitHub OSS Projects - Design, Structure, and Best Practices.
Documentation
Professional Documentation Standards for GitHub OSS Projects - Developer, Collaborator, and User Readiness.
audit
Code Audit Practices and Security Assessment Standards.
backend
Backend Development Practices and API Design Standards.
ci
CI/CD Pipeline Practices and DevOps Automation Standards.
finetune
AI Model Fine-Tuning Practices and Machine Learning Standards.