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/wbh604/fund-guy-skillWrote 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/commands/wbh604/fund-guy-skill/find-similar)<a href="https://agentmods.dev/commands/wbh604/fund-guy-skill/find-similar"><img src="https://agentmods.dev/badge/commands/wbh604/fund-guy-skill/find-similar/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/commands/wbh604/fund-guy-skill/find-similar"><img src="https://agentmods.dev/badge/commands/wbh604/fund-guy-skill/find-similar.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 | $0.00032 | $0.00300 |
| Opus 5 | $0.00016 | $0.00150 |
| Sonnet 5 | $0.00006 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
find-similar 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 10d 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
持仓撞车反查任务
用户输入: $ARGUMENTS
加载 fund-manager-alpha skill，只执行持仓相似度部分：
- 目标基金最新前十大（
fetch_fund.py或已有缓存） - 同门榜 —— 同公司权益基金逐只算持仓重合度（剔除其自管产品与债性产品）
- 全市场撞车榜 —— 东财数据中心反查其重仓股的基金持有人，聚合排序（剔除指数/ETF/同门），参考
scripts/fetch_market_similar.py - 今年热榜同步度 —— 今年收益 TOP10 主动基金逐只对比同名重仓数，参考
scripts/fetch_top_funds.py
产出：三张榜单（每行带重合度/同步度和共同持仓），加一句话结论： 他的收益是"独一份"还是"一条拥挤赛道里的其中一只"。
最后提醒用户：想深挖榜单里任何一只，说「分析 XXX」即可用同一套流程再跑。
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.
- 10d ago First seen · 21 lines · 32 tokens per session scan A cdaeb69db88f
find-similar is a command published in the GitHub repository wbh604/fund-guy-skill (514 stars, last pushed 6d ago), licensed MIT. It adds 32 tokens to every session and 300 once invoked, about $0.0002 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.
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