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/AgenticAIPlan/AgenticAISkillsnpx agentmods add skills/agenticaiplan/agenticaiskills/community-insight-pipelineWrote 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/agenticaiplan/agenticaiskills/community-insight-pipeline)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/community-insight-pipeline"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/community-insight-pipeline/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/agenticaiplan/agenticaiskills/community-insight-pipeline"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/community-insight-pipeline.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 | $0.00070 | $0.02532 |
| Opus 5 | $0.00035 | $0.01266 |
| Sonnet 5 | $0.00014 | $0.00506 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
community-insight-pipeline scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "IMAGE_URL" -o /tmp/img_PLATFORMID.png How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Community Insight Pipeline：Reddit 社区讨论抓取与 AI 批量标注
适用场景
- 产品口碑监控：追踪 Reddit 上对某个 AI 模型、开源项目或产品的社区评价
- 竞品调研：批量收集竞争产品的用户反馈，提炼结构化优劣势
- 用户洞察：从大量社区讨论中提取情感标签和摘要，供产品/运营团队使用
输入要求
脚本文件
脚本已包含在本 Skill 的 scripts/ 目录中，无需复制，直接通过路径调用：
scripts/fetch_batch.py— 抓取脚本（支持--tasks-file传入任务配置）scripts/annotate.py— 标注脚本scripts/export.py— 导出脚本
Credentials 通过环境变量传入（见下方说明），无需修改脚本内容。
Reddit API Credentials
在工作目录创建 .env 文件：
REDDIT_CLIENT_ID=xxx
REDDIT_CLIENT_SECRET=xxx
REDDIT_USER_AGENT=xxx # 任意字符串，如 "MyBot/1.0"
获取方式：访问 https://www.reddit.com/prefs/apps，创建 script 类型应用，复制 client_id（应用名下方短字符串）和 secret。
数据库
脚本使用 SQLite，首次运行 scripts/fetch_batch.py 时自动创建。路径通过环境变量指定：
export DISCUSSION_DB_PATH=discussions.db # 可选，不设置则默认 discussions.db
快速入口
根据当前场景选择起点，按需执行 Preflight 检查，跳过不适用项：
| 场景 | 起点 |
|---|---|
| 首次完整运行 | 完成 P1–P4 全部 Preflight，进入 Phase 1 |
| Credentials 已就绪，开始新一轮抓取 | 仅确认 P3 搜索目标，直接进入 Phase 1 |
| 数据已抓取，仅需 AI 标注 | 直接进入 Phase 2 |
| 标注已完成，仅需导出报告 | 直接进入 Phase 3 |
Preflight 检查
P1. Python 环境（首次运行时确认）
python3 --version # 要求 3.9+
pip install praw openpyxl pillow
P2. Reddit API Credentials（首次或 credentials 变更时确认）
检查环境变量是否已设置：
echo "CLIENT_ID=${REDDIT_CLIENT_ID:+已设置} SECRET=${REDDIT_CLIENT_SECRET:+已设置}"
-
均已设置 → 跳过，继续下一项
-
缺失 → 通过
.env文件或export直接配置：# 方式 A：创建 .env 文件（脚本启动时自动加载） REDDIT_CLIENT_ID=你的client_id REDDIT_CLIENT_SECRET=你的client_secret REDDIT_USER_AGENT=MyBot/1.0 # 方式 B：直接 export（当前 shell 生效） export REDDIT_CLIENT_ID=你的client_id export REDDIT_CLIENT_SECRET=你的client_secret获取方式：访问 https://www.reddit.com/prefs/apps，创建 script 类型应用，复制 client_id 和 secret。
P3. 搜索目标（每次新抓取时必须确认）
向用户提问：
你想追踪哪个产品或话题？请提供搜索关键词。 搜索范围：全站搜索（global）、指定 AI/ML 子版块（subreddits），或两者都要？ 是否同时抓取评论？（评论量通常远多于帖子） 是否需要精确匹配？例如
ERNIE-Image是宽松匹配，"ERNIE-Image"是精确短语匹配。
根据回答构建 tasks.json（见 Phase 1）。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 274 lines · 70 tokens per session scan A 3e83654dc87d
community-insight-pipeline is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 2,532 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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