Agent skill

Banini Tracker

by cablate in cablate/banini-tracker

巴逆逆反指標分析。觸發時機:使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時. An agent skill from cablate/banini-tracker.

AGPL-3.0Auto-check passedAI & LLM Engineering

Install Banini Tracker

skills CLI
$ npx skills add cablate/banini-tracker --skill banini-tracker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cablate/banini-tracker banini-tracker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cablate/banini-tracker.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill .claude/skills/banini-tracker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
banini-tracker
GitHub stars
375
Token cost
~612 tokens
SKILL.md length
106 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
AGPL-3.0

At a glance

巴逆逆反指標分析。觸發時機:使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時. An agent skill from cablate/banini-tracker.

  • Works in 3 steps: :抓取貼文 → :你來分析 → :推送 Telegram
  • AI & LLM Engineering work in your project
  • SKILL.md covers 前置條件, 工作流程, 其他指令 and 費用參考, plus 1 more section
  • Calls npx; reaches facebook.com

What it does

Banini Tracker is an agent skill from cablate/banini-tracker. 巴逆逆反指標分析。觸發時機:使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時。 能力範圍:透過 CLI 抓取 Facebook 貼文、反指標邏輯分析、連鎖效應推導、Telegram 推送。 目標:由 Claude 作為分析引擎,產出直白中文的反指標分析報告。

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with Telegram, Apify and Discord. The repository describes itself as: 巴逆逆(8zz)反指標追蹤器 — Facebook 抓取 + 影片轉錄 + AI 分析 + 多平台推送(Telegram / Discord / LINE). The licence is AGPL-3.0.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/banini-tracker”

Requirements

  • Node.js

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. :抓取貼文
  2. :你來分析
  3. :推送 Telegram

What it can do on your machine

Read from SKILL.md and the folder at commit 850297c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • facebook.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Banini Tracker loads about 612 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 106 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~612

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cablate/banini-tracker at commit 850297c, republished under its AGPL-3.0 licence (© cablate). 106 words, ~612 tokens.

Download SKILL.mdSave it as .claude/skills/banini-tracker/SKILL.md (or your agent's skills folder).
name
banini-tracker
description
巴逆逆反指標分析。觸發時機:使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時。 能力範圍:透過 CLI 抓取 Facebook 貼文、反指標邏輯分析、連鎖效應推導、Telegram 推送。 目標:由 Claude 作為分析引擎,產出直白中文的反指標分析報告。

banini-tracker — 巴逆逆反指標分析

追蹤「股海冥燈」巴逆逆(8zz)的 Facebook 貼文,由你(Claude)進行反指標分析,推送結果到 Telegram。

前置條件

bash
# 首次使用:初始化設定
npx @cablate/banini-tracker init --apify-token <TOKEN> --tg-bot-token <TOKEN> --tg-channel-id <ID>

# 確認設定
npx @cablate/banini-tracker config

工作流程

Step 1:抓取貼文
bash
npx @cablate/banini-tracker fetch -s fb -n 3 --mark-seen

輸出是 JSON 陣列,每篇貼文包含:

  • id / source
  • text(貼文內容)
  • ocrText(圖片 OCR 文字,可能包含下單截圖)
  • timestamp / url / likeCount
  • mediaType / mediaUrl

--mark-seen 會自動記錄已讀,下次不重複抓。

Step 2:你來分析

讀取 Step 1 的 JSON 後,進行反指標分析。分析要點:

核心邏輯(方向完全相反,不要搞混):

她的狀態反指標解讀
買入/加碼該標的可能下跌
被套(還沒賣)可能繼續跌(她還沒認輸)
停損/賣出可能反彈上漲(她認輸 = 底部訊號)
看多/喊買該標的可能下跌
看空/喊賣該標的可能上漲

分析原則:

  • 只根據貼文明確提到的操作判斷,不要腦補
  • 停損 = 她之前買了(做多),現在賣掉認賠。不是「放空」
  • 標的用正式名稱(信驊、鈦昇),不用她的暱稱(王、渣男)
  • 當天貼文最重要,注意時序(她的想法可能幾小時內改變)
  • 語氣越篤定/興奮 → 反指標信號越強
  • 善用 WebSearch 查詢標的最新走勢,豐富分析

連鎖效應推導:

  • 她買油正二被套 → 油價可能繼續跌 → 原物料成本降 → 製造業利多
  • 她停損鈦昇 → 鈦昇可能反彈 → IC 設計族群連動上漲
  • 她停損賣出油正二 → 油價可能反彈 → 通膨壓力回來
Step 3:推送 Telegram

將分析結果寫入暫存檔再推送(多行訊息用 -m 會被 shell 截斷,務必用 -f):

bash
# 寫入暫存檔後推送(推薦)
npx @cablate/banini-tracker push -f /tmp/report.txt

# 短訊息可用 -m
npx @cablate/banini-tracker push -m "短訊息"

# 純文字(不解析 HTML)
npx @cablate/banini-tracker push -f /tmp/report.txt --parse-mode none

其他指令

bash
# 去重管理
npx @cablate/banini-tracker seen list          # 列出所有已讀 ID
npx @cablate/banini-tracker seen mark <id...>  # 手動標記已讀
npx @cablate/banini-tracker seen clear         # 清空已讀紀錄

# 查看/修改設定
npx @cablate/banini-tracker config             # 顯示設定(token 遮蔽)
# 手動編輯: ~/.banini-tracker.json

費用參考

Facebook 每次抓取約 $0.02(Apify CU 計費)。

報告格式建議

推送到 Telegram 時建議用以下 HTML 格式。注意:

  • 每篇貼文附上原文連結(從 fetch 的 url 欄位取得)
  • < > & 必須轉義(&lt; &gt; &amp;),避免 HTML 解析錯誤
  • 多行內容務必寫入檔案後用 -f 推送
<b>巴逆逆反指標速報</b>
日期:2026-04-10

<b>她的動態</b>
FB 16:56|我想好明天要買啥了!大家期待嗎...
<a href="https://www.facebook.com/...">原文</a>

FB 14:30|今天又被套了 油正二...
<a href="https://www.facebook.com/...">原文</a>

<b>反指標分析</b>
↓ 原油正二(ETF)
  她:被套持有中 → 反指標:油價可能繼續跌
  原因:她還沒認輸停損,底部還沒到

<b>連鎖推導</b>
油價續跌 → 原物料成本降 → 製造業毛利提升 → 電子代工股受惠

<b>建議方向</b>
關注電子代工族群,等她停損油正二那天再考慮反手做多油價

冥燈指數:8/10

<i>僅供娛樂參考,不構成投資建議</i>

© cablate, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skill of cablate/banini-tracker.

Open the folder on GitHubat commit 850297c

Compare with similar skills

Banini Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Banini Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Banini Tracker this skillcablate/banini-tracker375—~612Automated safety check: PassAGPL-3.0
Caspian Connect DiscordTryCaspian/caspian-sdk971—~376Automated safety check: NotesApache-2.0
Claude To Imop7418/Claude-to-IM-skill2.9k—~3.4kAutomated safety check: NotesMIT
Send User MessageTinyAGI/tinyagi3.6k—~829Automated safety check: PassMIT
n8n Binary Data Handlingczlonkowski/n8n-skills6.4k—~3.9kAutomated safety check: PassMIT
OpenClaw to NanoClaw Migrationnanocoai/nanoclaw31k—~6kAutomated safety check: NotesMIT

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Questions about Banini Tracker

What does Banini Tracker do?

巴逆逆反指標分析。觸發時機:使用者要求追蹤巴逆逆、分析反指標、抓取社群貼文並推送 Telegram 時. An agent skill from cablate/banini-tracker. Banini Tracker is an agent skill from cablate/banini-tracker.

When should I use Banini Tracker?

Banini Tracker fits situations like: AI & LLM Engineering work in your project.

How do I install Banini Tracker in Claude Code?

Run `npx skills add cablate/banini-tracker --skill banini-tracker -a claude-code`. Or copy the skill folder (skill in cablate/banini-tracker) into .claude/skills/banini-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Banini Tracker in Codex?

Run `npx skills add cablate/banini-tracker --skill banini-tracker -a codex`. Or copy the skill folder (skill in cablate/banini-tracker) into .agents/skills/banini-tracker in your project. Codex loads it when a task matches its description.

Can I use Banini Tracker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cablate/banini-tracker --skill banini-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/banini-tracker, .gemini/skills/banini-tracker, .github/skills/banini-tracker and .opencode/skills/banini-tracker in your project.

What does Banini Tracker need to run?

Going by SKILL.md and its folder, Banini Tracker needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Banini Tracker access the network?

SKILL.md names 1 domain. In commands or code: facebook.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Banini Tracker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Banini Tracker use?

Banini Tracker is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Banini Tracker use?

About 612 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Banini Tracker?

Skills that share tags, products or a category with Banini Tracker: Caspian Connect Discord (TryCaspian/caspian-sdk, 971 stars), Claude To Im (op7418/Claude-to-IM-skill, 2.9k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars) and n8n Binary Data Handling (czlonkowski/n8n-skills, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Banini Tracker?

cablate (a GitHub user) maintains it in cablate/banini-tracker, which has 375 GitHub stars. The repository was last updated on July 4, 2026.

Source: cablate/banini-tracker on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.