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/iamironz/ai-config-bundleWrote 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/iamironz/ai-config-bundle/ai-kb)<a href="https://agentmods.dev/rules/iamironz/ai-config-bundle/ai-kb"><img src="https://agentmods.dev/badge/rules/iamironz/ai-config-bundle/ai-kb/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/iamironz/ai-config-bundle/ai-kb"><img src="https://agentmods.dev/badge/rules/iamironz/ai-config-bundle/ai-kb.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 | $0.00277 | $0.00277 |
| Opus 5.5 | $0.00111 | $0.00111 |
| Sonnet 5.5 | $0.00055 | $0.00055 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
ai-kb 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.
What it actually says
This rule is Cursor's KB / RAG entrypoint.
Canonical KB Entry Points
- How to use the KB (operational loop + ck retrieval):
ai-kb/AGENTS.md - Rule discovery and loading:
ai-kb/rules/INDEX.md - Command catalog:
ai-kb/commands/INDEX.md
RAG-First Requirements (Mandatory)
- Before starting any task: read the three entry points above.
- Follow the operational loop in
ai-kb/AGENTS.md:- discover relevant rules via ck search (MCP server
ck) first - use
ai-kb/rules/INDEX.mdonly as a fallback when ck is unavailable - load the relevant Level 1 rules + Level 2 subdocs before acting
- discover relevant rules via ck search (MCP server
- Output a
<rule_context>block quoting the rules you will follow, then proceed.
Cursor Integration (Wiring)
- Slash command wrappers:
.cursor/commands/*(delegate toai-kb/commands/*) - Optional post-turn analyzer hook:
.cursor/hooks/kb-post-turn-analyzer.py(via.cursor/hooks.json) - KB recommendation queue:
.cursor/kb-recommendations/*.md(review then apply)
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 · 28 lines · 277 tokens per session scan A 8904637b6273
ai-kb is a cursor rule published in the GitHub repository iamironz/ai-config-bundle (2 stars, last pushed 7mo ago), licensed MIT. It adds 277 tokens to every session, about $0.0011 per session on Opus 5.5. 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.
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