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/ApexIQ/skillsmithWrote 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/apexiq/skillsmith/performance)<a href="https://agentmods.dev/rules/apexiq/skillsmith/performance"><img src="https://agentmods.dev/badge/rules/apexiq/skillsmith/performance/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/apexiq/skillsmith/performance"><img src="https://agentmods.dev/badge/rules/apexiq/skillsmith/performance.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 | $0.00100 | $0.00100 |
| Opus 5.5 | $0.00040 | $0.00040 |
| Sonnet 5.5 | $0.00020 | $0.00020 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
performance 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 1mo 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
83% identical to benchmark — 8 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.
What it actually says
- Read
.agent/workflows/performance.md. - Goal: profile and optimize performance for library click, pytest, arch-business-logic, arch-ui, arch-unknown
- Skills: notebooklm, javascript_testing_patterns, makepad_skills, loki_mode, terraform_module_library
- Follow the workflow steps, then verify with project tests or the closest validation command.
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.
- 1mo ago First seen · 11 lines · 100 tokens per session scan A 99959654fe7a
performance is a cursor rule published in the GitHub repository ApexIQ/skillsmith (5 stars, last pushed 7mo ago), licensed MIT. It adds 100 tokens to every session, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to benchmark, differing in 8 lines, and is treated as a copy.
Other cursor rules, from other repositories
fix-bugs
Autonomously fix bugs from any source — Slack threads, failing CI tests, docker logs, or a plain description.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
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dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
control-plane-descriptors
Control plane descriptor and instance implementation patterns.
family-instance-domain-actions
Family instance domain action implementation patterns.