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 skills/fredchu/claude-dotfiles/earnings-processnpx skills add fredchu/claude-dotfiles --skill earnings-processgit clone --depth 1 https://github.com/fredchu/claude-dotfilesWrote 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/fredchu/claude-dotfiles/earnings-process)<a href="https://agentmods.dev/skills/fredchu/claude-dotfiles/earnings-process"><img src="https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/earnings-process.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.00886 |
| Opus 5 | $0.00028 | $0.00443 |
| Sonnet 5 | $0.00011 | $0.00177 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
earnings-process 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 4d 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
Earnings Process — 財報逐字稿處理
檔案路徑
- 腳本目錄:
/Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/ - 翻譯腳本:
/Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/earnings_translate_v3.sh - 下載腳本:
/Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/download_transcript.py - 輸出目錄:
/Users/fredchu/Documents/For_Claude/inbox/earnings/{TICKER}/ - 狀態目錄:
/Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/state/
流程
Step 1: 確認輸入
從用戶訊息中提取:
- TICKER — 股票代號(必要)
- QUARTER — 季度,如 Q1(可選,嘗試從日期推斷)
- YEAR — 年份(可選,預設今年)
- URL — Motley Fool 逐字稿 URL(可選)
Step 2: 取得逐字稿
情況 A:用戶提供 URL
python3 /Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/download_transcript.py "URL" --ticker TICKER --quarter Q1 --year 2026
情況 B:已有英文檔案
檢查 inbox/earnings/{TICKER}/ 是否已有英文逐字稿。
情況 C:需要搜尋
python3 /Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/download_transcript.py --search TICKER
列出搜尋結果,讓用戶確認 URL。
Step 3: 翻譯
/Users/fredchu/Documents/For_Claude/scripts/earnings-autopilot/earnings_translate_v3.sh \
"inbox/earnings/{TICKER}/{EN_FILE}" \
--ticker TICKER --quarter Q1 --year 2026
這會自動執行:
- 階段 A:會前研究摘要(含 web search)
- 階段 B:智慧分段翻譯
- 階段 C:合併 + 完整性驗證
Step 4: 更新狀態
如果有狀態檔 state/{TICKER}_{QUARTER}.json,更新為 done。
Step 5: 報告
向用戶回報:
- 輸出檔案路徑
- 完整性檢查結果(EN/ZH 段落數、輸出/輸入比)
- 翻譯耗時
注意事項
- 翻譯過程使用
claude -p,會消耗 Claude Pro/Max 額度 - 預估每份逐字稿約 15K-30K output tokens
- 可用
--skip-research跳過研究摘要(省額度) - 如果翻譯失敗,暫存目錄會保留供檢查
牛牛清單連動
翻譯/摘要完財報後,如果內容顯示公司前景明顯改善或惡化,主動建議:
- 前景改善:「要不要把 XXX 加到牛牛的 YYY 清單觀察?」
- 前景惡化:「XXX 目前在牛牛的 YYY 清單,要不要移除?」 用戶確認後,呼叫 futu-sync.py add/del 同步。
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.
- 4d ago First seen · 78 lines · 57 tokens per session scan A 89931af0cc5c
earnings-process is a skill published in the GitHub repository fredchu/claude-dotfiles (2 stars, last pushed 22d ago), licensed MIT. It adds 57 tokens to every session and 886 once invoked, about $0.0003 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.
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