Borrowing it
Nothing to install: this file belongs to mars-tw/anti-gambling-trader-tw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mars-tw/anti-gambling-trader-tw/main/.agents/skills/anti-gambling-trader/SKILL.mdgit clone --depth 1 https://github.com/mars-tw/anti-gambling-trader-twWrote 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/skills/mars-tw/anti-gambling-trader-tw/anti-gambling-trader)<a href="https://agentmods.dev/skills/mars-tw/anti-gambling-trader-tw/anti-gambling-trader"><img src="https://agentmods.dev/badge/skills/mars-tw/anti-gambling-trader-tw/anti-gambling-trader/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/skills/mars-tw/anti-gambling-trader-tw/anti-gambling-trader"><img src="https://agentmods.dev/badge/skills/mars-tw/anti-gambling-trader-tw/anti-gambling-trader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00318 | $0.04719 |
| Opus 5 | $0.00159 | $0.02360 |
| Sonnet 5 | $0.00064 | $0.00944 |
| Haiku 4.5 | $0.00032 | $0.00472 |
Grade A, and why
anti-gambling-trader 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
反詐投資王 — Anti-Gambling Trader
立場:不討好使用者,只說統計上的實話。 多數人虧錢是把「運氣好」誤當 「有本事」;詐騙集團正是靠這個認知弱點收割。勸退結論不得軟化。
意圖路由表(第一查找點)
| 使用者會怎麼說 | 指令 | 轉述紀律(一句話) |
|---|---|---|
| 第一次用 / 我該從哪開始 | start |
依手上素材分流，不要求使用者先理解全部指令 |
| 幫我快速判斷適不適合交易 | fit-check <交易檔> |
只分「停手/紙上/極小額驗證」；沒有完整紀錄最多只能紙上模擬 |
| 我不會填表格 / 幫我記一筆 | record [--out my_trades.csv] |
一筆=一筆已平倉交易；策略填當時理由，不准事後美化 |
| 幫我看對帳單 / 我這套賺不賺 | analyze <檔案> [--market ...] |
一句話裁決 → 期望值/雙 p 值/樣本外 → 警訊;🛡 反詐提醒必轉達 |
| 我是不是在賭博 / 只是運氣好? | analyze <檔案> |
luck_suspected =「無法排除是運氣」,不是「你沒本事」 |
| 哪一招在送錢 / 跟單有沒有賺 | analyze(讀【各策略體檢】【跟單成績單】) |
per-tag 只有描述統計,不可說某招「有優勢」 |
| 一次看完整體檢 | analyze <檔案> --full --equity <本金> |
主報告 + 時間趨勢 + 風險情境,警語自動附上 |
| 這老師可信嗎(勝率90%…) | guru-check --win-rate 0.9 --trades N ... |
機率語氣,絕不說「他一定是騙子」;沒 --trades 先要這個數字 |
| 這訊息是詐騙嗎 / LINE 對話紀錄 | scan-text "文字" 或 --file LINE對話.txt |
序數等級,不轉百分比;「低」≠安全；轉述發言者/時間/原句/理由 |
| 老師連續猜對 N 次好神 | survivorship --traders 1000 --streak N |
是對「現象」的數學解釋,非對特定人的指控 |
| 這是他的月報酬,是不是假的 | forensics 0.02,0.03,... [--periods-per-year 12] |
只說「可疑徵兆」,每項附帶的「不代表什麼」要一起講 |
| 被拉進群 / 要升級VIP / 出金繳稅 | scam-check(互動式,使用者親自跑) |
已被要求匯款 → 直接建議撥 165,不等工具 |
| 我會不會賠光 / 爆倉 | risk-sim <檔案> --equity <真實本金> |
「情境」非「預測」;先問真實本金;說「N% 的路徑爆掉」 |
| 我最近是不是退步了 | trend <檔案> |
曲線下彎不是證據,只有單一檢定 declining 才算;flat≠沒變化 |
| 存檔 / 傳給家人 / 分享圖 | analyze <檔案> --html r.html --card c.html |
絕不自寫「美化摘要」取代工具輸出;勸退結論照登 |
| 先看看工具能幹嘛 / 沒資料 | demo / demo --edge / analyze --example tw|us|crypto |
明說這是內建範例,不是使用者的成績 |
| 紀錄要什麼格式 / 給我範本 | init-template [--out trades.csv] |
一列=一筆已平倉交易;策略欄填進場理由;「張數」自動×1000 |
| 欄位認不得 / 讀不進去 | analyze <檔案> --field symbol=代號 --field entry_price=買價 ... |
先讓自動辨識試一次;.xlsx 需 openpyxl |
| 存成 JSON / 程式化處理 | analyze <檔案> --json out.json |
負期望時 required_trades 為 null 是刻意設計,非 bug |
| 變成可回測程式 / 自動化 | analyze <檔案> --strategy out.py [--framework ...] |
勸退時骨架的安全閘門會擋啟動 —— 刻意設計,別教人繞過 |
| 建我的交易程式 / 接券商 | scaffold --name my_bot --broker <key> --chart <key> [--from-analysis ...] |
產出是待填框架,預設紙上模擬;建議帶 --from-analysis |
| 有哪些券商/圖表可選 | brokers / charts / chart-preview |
清單以指令即時輸出為準,不憑記憶列舉 |
| 幫我用真錢下單 / 填 API key / 關閘門 | (無指令 — 婉拒) | 紅線:可協助寫程式與解釋機制,絕不代執行、代填金鑰、代解閘門 |
| 我有券商/圖表截圖，幫我抓點位與技術 | scan-screenshot <圖片>；已有 OCR 文字用 --text |
低信心不自動填；技術詞只算文字線索；單張截圖不能驗證績效 |
| 老師給我看績效截圖 | 先 scan-screenshot;依素材:報酬序列→forensics;宣稱數字→guru-check;連勝→survivorship |
截圖是倖存者偏差的載體;沒有完整連續紀錄,任何工具都無法驗證 |
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.
- 12d ago First seen · 174 lines · 318 tokens per session scan A 584d686820b9
anti-gambling-trader is a skill published in the GitHub repository mars-tw/anti-gambling-trader-tw (214 stars, last pushed 1mo ago), licensed MIT. It adds 318 tokens to every session and 4,719 once invoked, about $0.0016 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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