threads-batch-reply

threads-batch-reply is a skill for Claude Code, Codex from gaojiongwenv587-beep/threads-skills. It costs 68 tokens per session (1,626 once invoked), scanned A, original, MIT.

A desktop helper for entering replies one by one on Threads, a social network for short posts and conversations. It uses a graphical window to guide the reply process.

In plain words
What is it for?
It is for selecting Threads posts from feeds or searches, preparing a list of replies, entering them through a desktop interface, and summarizing the results.
Why use it?
Replying to many selected posts manually is repetitive, and the helper gathers the results in one report. It also skips political posts and requires generated replies to use Traditional Chinese.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/cli.py list-feeds --limit 30.

Good fit It is for selecting Threads posts from feeds or searches, preparing a list of replies, entering them through a desktop interface, and summarizing the results.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/gaojiongwenv587-beep/threads-skills
agentmods
npx agentmods add skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for threads-batch-reply

README.md
[![agentmods](https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply/github.svg)](https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply)
Your own site
<a href="https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply"><img src="https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply/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.

agentmods 80×15 button for threads-batch-reply

Your own site · 80×15
<a href="https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply"><img src="https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-batch-reply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,626 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.01626
Opus 5 $0.00034 $0.00813
Sonnet 5 $0.00014 $0.00325
Haiku 4.5 $0.00007 $0.00163

Measured 11d ago against content hash 7fc9bcc3d1f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

threads-batch-reply 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 11d 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.

threads-batch-reply/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

threads-batch-reply — 批量回覆助手

透過 GUI 弹窗逐條填寫評論,自動執行 reply-thread,結果匯總回報。

🚫 內容禁區(最高優先級)

絕對禁止生成、分析或互動任何政治相關內容。遇到政治相關帖子直接跳過。

語言規則(強制)

所有 AI 生成的回覆內容一律使用繁體中文,不得使用简体中文。


工作流程

第一步:拉取目標帖子

# 從首頁 Feed 取帖
python scripts/cli.py list-feeds --limit 30

# 或按關鍵詞搜尋
python scripts/cli.py search --query "設計系統" --type recent --limit 20

第二步:篩選帖子,寫入臨時文件

從 CLI 輸出中取出目標帖子(按互動量、話題等篩選),寫成 JSON 文件:

import json, tempfile, pathlib

posts = [...]  # 篩選後的帖子子集,格式同 CLI 輸出的 posts 陣列

tmp = pathlib.Path(tempfile.mktemp(suffix=".json", prefix="threads_batch_"))
tmp.write_text(json.dumps(posts, ensure_ascii=False), encoding="utf-8")
print(tmp)  # 輸出臨時文件路徑供下一步使用

每條帖子需包含以下欄位(直接使用 CLI 輸出即可):

{
  "postId": "DVxppvZCAAl",
  "url": "https://www.threads.net/@user/post/DVxppvZCAAl",
  "author": { "username": "someuser", "displayName": "顯示名稱" },
  "content": "帖子正文",
  "likeCount": "1,234",
  "replyCount": "56"
}

第三步:啟動批量回覆助手

啟動前先確保 tkinter 可用(不可用則自動安裝):

python3 -c "import tkinter" 2>/dev/null || brew install [email protected]

GUI 可用時(有彈窗界面):

uv run python scripts/reply_assistant.py --posts-file /tmp/threads_batch_xxx.json

# 多帳號:
uv run python scripts/reply_assistant.py --posts-file /tmp/threads_batch_xxx.json --account myaccount

tkinter 不可用時(終端交互):

uv run python scripts/reply_assistant_cli.py --posts-file /tmp/threads_batch_xxx.json

# 多帳號:
uv run python scripts/reply_assistant_cli.py --posts-file /tmp/threads_batch_xxx.json --account myaccount

⚠️ 腳本路徑固定為 scripts/reply_assistant.pyscripts/reply_assistant_cli.py,不要去其他目錄找。

兩個版本的 --posts-file--account--port 參數完全相同,輸出的摘要 JSON 格式也一致。

第四步:讀取結果 JSON,匯報給用戶

腳本完成後向 stdout 輸出摘要:

{
  "total": 10,
  "replied": 3,
  "skipped": 5,
  "already_replied": 2,
  "replied_ids": ["DVxppvZCAAl", "DVxHauYk1YQ", "DVxWF-hiayK"]
}

向用戶報告:成功回覆 N 條、跳過 M 條、已回覆過 K 條。


GUI 弹窗操作說明

┌──────────────────────────────────────────┐
│  批量回覆  3 / 10  @bigbigburger1        │
├──────────────────────────────────────────┤
│  帖子正文(可滾動)                       │
│  ❤️ 1,234   💬 56                        │
├──────────────────────────────────────────┤
│  ┌────────────────────────────────────┐  │
│  │ 在此輸入評論...                     │  │
│  └────────────────────────────────────┘  │
│                           字符: 0 / 500  │
├──────────────────────────────────────────┤
│     [ 發布 ]     [ 跳過 ]    [ 結束 ]    │
└──────────────────────────────────────────┘

Read the full file on GitHub · 176 lines

Changes

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.

  1. 11d ago First seen · 176 lines · 68 tokens per session scan A 7fc9bcc3d1f1

Subscribe to this mod's changes

threads-batch-reply is a skill published in the GitHub repository gaojiongwenv587-beep/threads-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 1,626 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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