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.
git clone --depth 1 https://github.com/gaojiongwenv587-beep/threads-skillsnpx agentmods add skills/gaojiongwenv587-beep/threads-skills/threads-content-opsWrote 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/gaojiongwenv587-beep/threads-skills/threads-content-ops)<a href="https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-content-ops"><img src="https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-content-ops/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.
<a href="https://agentmods.dev/skills/gaojiongwenv587-beep/threads-skills/threads-content-ops"><img src="https://agentmods.dev/badge/skills/gaojiongwenv587-beep/threads-skills/threads-content-ops.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00087 | $0.01808 |
| Opus 5 | $0.00044 | $0.00904 |
| Sonnet 5 | $0.00017 | $0.00362 |
| Haiku 4.5 | $0.00009 | $0.00181 |
Grade A, and why
threads-content-ops 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
license: MIT-0 acceptLicenseTerms: true
threads-content-ops — 复合运营
通过组合基础命令完成复杂运营工作流。
🚫 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 生成的發文、回覆內容一律使用繁體中文撰寫,不得使用简体中文。
工作流示例
推廣型評論(定時任務場景)
"每 X 分鐘用 account2 在推薦頁抓帖子,篩選一條適合推廣醫美的帖子評論"
完整步驟:
# 第一步:確認賬號登入狀態
python scripts/cli.py --account account2 check-login
# 第二步:抓取首頁推薦帖子(15條足夠篩選,速度快)
python scripts/cli.py --account account2 list-feeds --limit 15
第三步:兩層篩選(規則優先,AI 只用一次)
⚠️ 禁止對每條帖子單獨調用 AI 判斷——50 條帖子 × 每次 5-10 秒 = 超時且浪費。 正確做法:先用關鍵詞規則瞬間篩出 1 條,再對這 1 條調用 AI 生成評論。
第一層:關鍵詞規則篩選(在內存中完成,零延遲)
按優先級從 posts 列表中找第一條命中的帖子:
優先級 1 — 韓國醫美場景(最匹配推廣目標):
韓國、首爾、江南、弘大、梨泰院、韓式、韓國診所、Olive Young、
皮膚科、整形、醫美、雷射、光療、玻尿酸、肉毒、微整、縮鼻、
隆鼻、雙眼皮、埋線、抗老、拉提
優先級 2 — 一般保養/外貌話題:
皮膚、保養、護膚、底妝、素顏、毛孔、痘痘、斑點、美白、
遮瑕、防曬、精華、面膜、卸妝、氣墊、變美、外貌
優先級 3 — 無命中時:選 likeCount 數值最大的帖子(曝光高)
跳過條件(直接從列表移除,不考慮):
- 政治相關
- 帖子含診所名稱、價格、電話(同業廣告)
- 已回覆過(
reply-thread自動防重,會返回skipped)
第二層:只對選出的 1 條帖子調用 AI 生成評論
根據帖子內容生成一條自然融入對話、不硬廣的繁體中文評論:
- 先呼應帖子內容 1 句(顯得真實),再帶出醫美相關話題 1 句
- 語氣:親切、口語,像真實用戶留言
- 長度:50–150 字符,避免過長顯得像廣告
- 絕對禁止:診所名稱、電話、價格、"私訊我"等硬廣詞彙
評論示例風格(根據帖子內容靈活調整,禁止直接照抄):
呼應帖子 + "最近也在研究醫美保養,皮膚狀態真的差很多"
呼應帖子 + "這讓我想到之前去做了一次光療,整個膚質改善超明顯"
呼應帖子 + "好有共鳴!我最近也開始注重抗老,微整形真的是現代人的新保養"
# 第五步:發布評論
python scripts/cli.py --account account2 reply-thread \
--url "https://www.threads.net/@user/post/xxx" \
--content "生成的評論內容"
執行後回報:
- 選中的帖子 URL 和作者
- 發布的評論內容
- 執行結果(success / skipped / error)
竞品分析
"分析 @competitor 最近 10 条帖子的互动情况"
python scripts/cli.py user-profile --username "@competitor" --limit 10
步骤:获取帖子列表 → 提取 likeCount / replyCount / repostCount → 汇总平均互动量、最高互动内容、发帖频率
热点追踪
"搜索 'AI' 最近的高互动帖子"
# 获取最新帖子
python scripts/cli.py search --query "AI" --type recent --limit 20
# 获取热门帖子
python scripts/cli.py search --query "AI" --limit 20
步骤:搜索帖子 → 按 likeCount 排序 → 提取热门内容和话题标签
内容创作
"根据最热的 5 条 AI 帖子,帮我写一条新 Thread"
步骤:
search --query "AI" --limit 20— 获取热帖- 分析热帖特征(长度、語氣、話題角度)
- 生成繁體中文新内容(≤ 500 字符)
fill-thread --content "..."— 预览- 等待用户确认后
click-publish
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.
- 11d ago First seen · 178 lines · 87 tokens per session scan A 2ead11ca63d4
threads-content-ops is a skill published in the GitHub repository gaojiongwenv587-beep/threads-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 1,808 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.
Other skills, from other repositories
obscura
Operate and validate Obscura for JavaScript page loading, stealth browsing, anti-fingerprinting, tracker blocking, screenshots and visual comparison, CDP automation with Puppeteer or Playwright, screencasting, PDF export, MCP browser interaction, and web extraction. Use when running Obscura against deterministic…
pinchtab
Use this skill when a task needs browser automation through PinchTab: open a website, inspect interactive elements, click through flows, fill out forms, scrape page text, reuse a dedicated automation profile with user approval, export screenshots or PDFs, manage multiple browser instances, or fall back to the HTTP API…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
pinchtab-dev
Develop and contribute to the PinchTab project. Use when working on PinchTab source code, adding features, fixing bugs, running tests, or preparing PRs. Triggers on "work on pinchtab", "pinchtab development", "contribute to pinchtab", "fix pinchtab bug", "add pinchtab feature".
pinchtab-stealth-score
Run the PinchTab stealth-score sweep against 15 bot-detection / fingerprint sites (sannysoft, rebrowser, deviceandbrowserinfo, iphey, whoer, browserscan, pixelscan, fingerprint-scan, incolumitas, fvision, amiunique, browserleaks, creepjs, coveryourtracks, fingerprint-demo). Starts a Docker PinchTab container per…
browser_harness
../../SKILL.md.