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/kimss-ai/kimss-python-sdk/cursorrulesgit clone --depth 1 https://github.com/kimss-ai/kimss-python-sdkWhat 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 | $0.00142 | $0.00142 |
| Opus 5 | $0.00071 | $0.00071 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
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 today.
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.
What it actually says
Kimss Python SDK — AI assistants
Follow AI_INTEGRATION.md.
- Never use
KimssClientfor chat/completions/messages. - Keep the developer's native
openaioranthropicSDK. - OpenAI →
base_url=https://api.kimss.ai/v1. Anthropic →base_url=https://api.kimss.ai. - Always inject
X-Kimss-Agent-Id(andX-Kimss-Agent-Name). - Hermis: forward Agent-Id headers.
- Kill switch:
agent_disabled. Keys:kimss_....
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.
- today First seen · 11 lines · 142 tokens per session scan A fead17ebea19
cursorrules is a cursor rule published in the GitHub repository kimss-ai/kimss-python-sdk (1 stars, last pushed 2d ago), licensed MIT. It adds 142 tokens to every session, about $0.0007 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 2026-08-31.
Other cursor rules, from other repositories
plugin-development
Plugin Development Standards - Applies to all new wasm and golang-filter plugins.
reachai-project
ReachAI project rules for AI coding agents.
binding-rules-quick-reference
Quick index of project binding rules (canonical text in CLAUDE.md).
go-conventions
Go conventions for all Go code (modules, naming, errors, logging, metrics).
selectools-development
Selectools development conventions, testing requirements, and release process.
selectools-providers
Rules for working with LLM provider adapters in selectools.