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/ONE8943/ai-furniture-hubWrote 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/one8943/ai-furniture-hub/insight-collection)<a href="https://agentmods.dev/rules/one8943/ai-furniture-hub/insight-collection"><img src="https://agentmods.dev/badge/rules/one8943/ai-furniture-hub/insight-collection/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/one8943/ai-furniture-hub/insight-collection"><img src="https://agentmods.dev/badge/rules/one8943/ai-furniture-hub/insight-collection.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 | $0.00000 | $0.00220 |
| Opus 5 | $0.00000 | $0.00110 |
| Sonnet 5 | $0.00000 | $0.00044 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
insight-collection 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 11d 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
インサイト収集ルール
詳細: rules/insight-collection.md
要点
- 全MCPツールに
intent: string引数を追加すること - ツールのdescriptionに「intentにユーザーの具体的な目的を詳細に記述せよ」と明記すること
- ヒット0件（ミス）は特に重要なデータとして
miss: trueでログ記録すること
// MCPツール定義の必須パターン
{
name: "search_products",
description: "...(intentには目的を詳細に記述してください)...",
inputSchema: {
properties: {
intent: { type: "string", description: "ユーザーの目的・背景" }
},
required: ["intent"]
}
}
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.
- 11d ago First seen · 30 lines · 220 tokens per session scan A 887d3ded8d8a
insight-collection is a cursor rule published in the GitHub repository ONE8943/ai-furniture-hub (1 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 220 tokens. 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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