threads-filter

threads-filter is a skill for Claude Code, Codex from gaojiongwenv587-beep/threads-skills. It costs 140 tokens per session (2,446 once invoked), scanned A, original, MIT.

A filtering workflow for finding suitable Threads posts to comment on. It gathers posts from feeds, keyword searches, and selected accounts, then ranks and filters them.

In plain words
What is it for?
Use it to configure keywords and exclusions, collect posts from several sources, score them by activity, source overlap, and recency, and produce comment candidates.
Why use it?
It reduces a large stream of posts to a prioritized list and can exclude unwanted terms before context-based review.

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 uv run python scripts/cli.py --account "$ACCOUNT" list-feeds --limit 50 \.

Good fit Use it to configure keywords and exclusions, collect posts from several sources, score them by activity, source overlap, and recency, and produce comment candidates.

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-filter

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-filter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-filter"><img src="https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-filter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,446 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 $0.00140 $0.02446
Opus 5 $0.00070 $0.01223
Sonnet 5 $0.00028 $0.00489
Haiku 4.5 $0.00014 $0.00245

Measured 11d ago against content hash 2832049191a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

threads-filter 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-filter/SKILL.md · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

threads-filter — 智能篩選 Skill

三源採集 → 存檔 → filter-comment.py 三維評分 → 輸出評論候選列表

評分邏輯是真正的 Python 代碼,不是提示詞估算。 篩選腳本位於:~/Desktop/threads-filter-comment/filter-comment.py


PHASE SETUP:首次配置向導

觸發條件~/.threads-filter-comment.json 不存在,或用戶說「重新配置篩選」。

向導流程

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 threads-filter 首次配置向導
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 1/4:關鍵詞矩陣(keywords / priority_keywords)
Step 2/4:排除詞庫(exclude_keywords)
Step 3/4:AI 配置(api_url / api_key / model)
Step 4/4:確認並寫入
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Step 1 / 4 — 關鍵詞矩陣

請提供兩類關鍵詞:

🔑 高優先核心詞(命中即標記 high priority):
   例:韓國、首爾、江南、釜山、韓國醫美、飛韓國

🏷️ 一般關鍵詞(命中標記 medium priority):
   例:醫美、整形、微整、玻尿酸、保養、護膚、外貌焦慮

→ 儲存為 priority_keywordskeywords


Step 2 / 4 — 排除詞庫

哪些帖子要直接跳過?
預設已包含:醫院、診所、歡迎預約、歡迎諮詢、價格、優惠、促銷、line:、微信
需要補充同業競品名稱嗎?

→ 儲存為 exclude_keywords


Step 3 / 4 — AI 配置

是否啟用 AI 語境判斷?(預設:啟用)
如果啟用,請提供:
  ai_api_url:(OpenAI 相容端點)
  ai_api_key:
  ai_model:(預設 Qwen/Qwen3.5-27B-FP8)

Step 4 / 4 — 寫入配置

配置寫入 ~/.threads-filter-comment.json

{
  "ai_enabled": true,
  "ai_api_url": "https://...",
  "ai_api_key": "sk-...",
  "ai_model": "Qwen/Qwen3.5-27B-FP8",
  "keywords": ["醫美", "整形", "保養", "護膚", "外貌焦慮"],
  "exclude_keywords": ["診所", "歡迎預約", "促銷", "line:"],
  "priority_keywords": ["韓國", "首爾", "江南", "釜山", "韓國醫美"]
}

使用方式

執行篩選(三源)     → 「幫我篩選適合評論的帖子」
只用 Feed 篩選       → 「只抓首頁 Feed 篩選」
關閉 AI 快速篩選     → 「不用 AI,只做關鍵詞篩選」
指定帳號             → 「用 account2 篩選帖子」
重新配置             → 「重新配置篩選」

PHASE 1:三源採集 → 存至暫存文件

三個來源分別採集,存為獨立 JSON 文件,供 filter-comment.py 讀取。

ACCOUNT="default"   # 或用戶指定帳號
TMPDIR="/tmp/threads-filter"
mkdir -p "$TMPDIR"

來源 A:首頁 Feed(50條)→ /tmp/threads-filter/feed.json

uv run python scripts/cli.py --account "$ACCOUNT" list-feeds --limit 50 \
  > /tmp/threads-filter/feed.json

來源 B:關鍵詞搜索 → /tmp/threads-filter/keyword.json

讀取配置中 priority_keywords + keywords,逐一搜索(每個取最新 20 條),合併輸出:

Read the full file on GitHub · 294 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 · 294 lines · 140 tokens per session scan A 2832049191a1

Subscribe to this mod's changes

threads-filter is a skill published in the GitHub repository gaojiongwenv587-beep/threads-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 140 tokens to every session and 2,446 once invoked, about $0.0007 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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