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Ai Launch Pipeline

Name: Ai Launch Pipeline
Author: terrycarter1985

作者 terrycarter1985 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-launch-pipeline

功能描述

One-click automated pipeline for AI product launch monitoring. Integrates RSS feed monitoring, product info search, page screenshot/snapshot capture, and tre...

使用说明 (SKILL.md)

AI Launch Pipeline

Run the full AI product launch monitoring workflow in one command.

Quick Start

bash scripts/ai_launch_pipeline.sh

Output lands in $AI_PIPELINE_WORKSPACE/runs/\x3Ctimestamp>/ (default: ~/.openclaw/workspace/data/ai-launch-pipeline/runs/).

Pipeline Stages

#	Stage	Output
1	RSS monitoring	`rss/rss_hits.json` — AI launch hits from OpenAI, Anthropic, Google, HuggingFace, DeepSeek feeds
2	Product search	`search/search_results.json` — supplementary search results
3	Screenshot capture	`screenshots/` — text snapshots of hit pages + manifest
4	Trend analysis	`trends/summary.md` + `trends/trend_report.json` — model/org frequency, top signals

Configuration

AI_PIPELINE_WORKSPACE — override output root directory
Edit the feeds list in Stage 1 to add/remove RSS sources
AI keyword filter is in the ai_keywords regex (Stage 1)

Requirements

Python 3 (stdlib only — no pip packages needed)
Optional: duckduckgo-search CLI for enhanced Stage 2

安全使用建议

Before installing, confirm you are comfortable with the script making outbound requests to the listed public AI feeds and linked pages. Use a trusted duckduckgo-search CLI if you install the optional search enhancement, choose the output workspace deliberately, and treat saved page snapshots as untrusted web content.

功能分析

Type: OpenClaw Skill Name: ai-launch-pipeline Version: 1.0.0 The skill bundle implements a legitimate AI product launch monitoring pipeline that fetches RSS feeds from major AI providers (OpenAI, Anthropic, etc.), performs keyword-based filtering, and generates trend reports. The code uses standard Python libraries (urllib, xml, json) and shell scripting to automate data collection and analysis without any evidence of data exfiltration, malicious execution, or unauthorized access.

能力评估

ℹ Purpose & Capability

The script matches the stated purpose: it monitors RSS feeds, optionally searches, captures page text snapshots, and generates trend reports. The noteworthy behavior is outbound web access to public feeds/pages, which is expected for this workflow.

✓ Instruction Scope

The skill is user-invoked via a documented command and does not contain instructions to override user intent, hide actions, or continue running after completion.

ℹ Install Mechanism

There is no install spec, but the included script requires bash and Python 3 and can optionally invoke a duckduckgo-search CLI found on PATH. Users should ensure any optional CLI dependency is installed from a trusted source.

ℹ Credentials

The script writes timestamped outputs under a workspace directory by default and allows AI_PIPELINE_WORKSPACE to override the output root. This is proportionate for report generation, but users should choose the workspace path intentionally.

ℹ Persistence & Privilege

The skill persists run artifacts such as RSS hits, snapshots, and trend summaries, but it does not request credentials, elevated privileges, background services, or recurring execution.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-launch-pipeline
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-launch-pipeline 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

ai-launch-pipeline 1.0.0 initial release: - Introduces a one-click automated pipeline for AI product launch monitoring. - Integrates RSS feed monitoring, product info search, page screenshot capture, and trend analysis into a unified script. - Enables full-cycle monitoring and trend report generation with a single command. - Output is organized by run timestamp for easy tracking and review. - Supports configuration of output directory, RSS feeds, and keyword filters. - Requires only Python 3 standard library; optional support for DuckDuckGo Search CLI.

元数据

Slug ai-launch-pipeline

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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