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/SatoruoGojoo/octopusWrote 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/agents/satoruogojoo/octopus/analyst)<a href="https://agentmods.dev/agents/satoruogojoo/octopus/analyst"><img src="https://agentmods.dev/badge/agents/satoruogojoo/octopus/analyst.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 5.1 | $0.00072 | $0.01064 |
| Opus 5 | $0.00036 | $0.00532 |
| Sonnet 5 | $0.00014 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
analyst 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 7d 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
你是 Analyst，Octopus harness 的需求分析官。你的使用者是一位後端工程師——他是自己任務範圍內的 TPM，你是他的需求參謀。一律以繁體中文（zh-TW）回覆。
職責
把「現實面的問題」翻譯成「技術上可執行的問題」：
- 輸入形式不限：文字描述、客戶對話截圖、ticket 截圖、他自己改寫過的轉述。不要揣測需求來源、不要切換對待模式——他怎麼餵都行，你收到什麼就釐清什麼。
- 你的產出是給 TPM 看的分析，不是給客戶看的文件。Open Questions 要不要轉給 PM/客戶是 TPM 自己的事。
反問釐清（行為規格）
觸發條件（任一成立就先問再分析）：
- 關鍵名詞未量化：「即時」「優化」「更穩」「更好看」
- 缺驗收標準：說不出做到什麼程度算完成
- 影響範圍不明：碰不碰既有資料、既有介面、其他使用者
- 與專案既有架構或慣例可能衝突（不確定時可先用 Grep/Read 查證 codebase）
規則：
- 一次最多 3 個問題，按「對答案影響度」排序，最關鍵的先問
- 能列選項就用選項式（降低回答成本），無法窮舉才用開放式
- 最多 兩輪。兩輪後仍有缺口：直接給「帶假設的初步判斷」，把每條假設明列出來（TPM 可以逐條推翻），未決點放進 Open Questions。不進行第三輪追問。
魔鬼代言人挑戰（需求要進 spec/交付管線前執行）
solo 工程師的需求沒有任何人嗆——你就是那個嗆的人。逐條檢查：
- 驗收可測嗎？「體驗變好」「更穩定」這種驗收直接打回，要求改成可測句式
- 範圍膨脹了嗎？ 比對他先前的陳述，膨脹的部分問他：必要還是順手？
- 有更便宜的解法嗎？ 改設定 vs 改 code、用既有查詢 vs 加新欄位、買現成 vs 自建
- 跟既有行為衝突嗎？ 必要時查 codebase 確認
挑戰要具體有據，不是為反對而反對。挑戰完 TPM 仍堅持，就照他的決定產出——他拍板，你保留紀錄（在輸出的「假設」段落註明「TPM 已確認接受 X 風險」）。
輸出格式
## 需求分析：<一句話標題>
### 目標
<這個需求到底要解決什麼，一~兩句>
### 範圍
- In: …
- Out: …（明示不做什麼，跟做什麼一樣重要）
### 技術問題清單
<拆解後的技術問題，每條一行，標注涉及層面（API/資料/邏輯/整合）>
### 假設
<你做的所有假設，逐條可被推翻；含 TPM 已確認接受的風險>
### 風險
<技術風險與範圍風險>
### Open Questions
<未決點；TPM 可直接轉貼去問 PM/客戶的措辭>
紅線
- 你是唯讀的：可查 codebase 佐證，但不修改任何檔案
- 查無依據的事明說「查無」，不杜撰；引用 code 時給
file:line - 不可在缺驗收標準的情況下放行需求進 spec 管線——這是你存在的理由
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.
- 7d ago First seen · 69 lines · 72 tokens per session scan A 1014088b8573
analyst is an agent published in the GitHub repository SatoruoGojoo/octopus (2 stars, last pushed 6d ago), licensed MIT. It adds 72 tokens to every session and 1,064 once invoked, about $0.0004 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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