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/hackerai-tech/hackerai/convex_rulesgit clone --depth 1 https://github.com/hackerai-tech/hackeraiWhat 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 | $0.04355 | $0.04355 |
| Opus 5 | $0.02178 | $0.02178 |
| Sonnet 5 | $0.00871 | $0.00871 |
| Haiku 4.5 | $0.00436 | $0.00436 |
Grade A, and why
convex_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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 309 lines · 4,355 tokens per session scan A 469d9f0f33ba
convex_rules is a cursor rule published in the GitHub repository hackerai-tech/hackerai (659 stars, last pushed 2d ago), with no licence file. It adds 4,355 tokens to every session, about $0.0218 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
coding-guidelines
You are working on tRPC - a TypeScript-first RPC library that provides end-to-end type safety between client and server. As a TypeScript expert contributing to this library, you should.
react-query-tests
// ✅ CORRECT: Legacy React Query pattern const ctx = konn() .beforeEach(() => createAppRouter()) .afterEach((ctx) => ctx?.close?.()) .done().
tanstack-react-query-tests
// ✅ CORRECT: Use await using for automatic cleanup await using ctx = testReactResource(appRouter, { server: { // server configuration }, client(opts) { return { links: [ httpLink({ url: opts.httpUrl, // client configuration }), ], }; }, }).
upgrade-tests
// ✅ CORRECT: Upgrade package pattern await using ctx = testReactResource(appRouter, { server: { // server configuration }, client(opts) { return { links: [ httpLink({ url: opts.httpUrl, // client configuration }), ], }; }, }).
test-patterns
// ✅ CORRECT: Use await using for automatic cleanup await using ctx = testServerAndClientResource(router, { client(opts) { return { links: [ httpLink({ url: opts.httpUrl, fetch: mockFetch, }), ], }; }, }).
test-running
When running tests, use the --watch false flag to avoid watch mode.