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sec-watcher安全观察者

Agent Skill

sec-watcher 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

26,496

周安装

1,104

GitHub Stars

公开资料未说明

下载量

8,832
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sec-watcher(安全观察者)
来源仓库:https://github.com/sukanto-m/sec-watcher
安装命令:
openclaw skills install sec-watcher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sec-watcher

简介

sec-watcher 实时监控 AI 与科技公司向 SEC EDGAR 提交的重大事件文件(如 8-K)。

  • 适用于投资者、分析师或媒体从业者跟踪企业公告、并购动态与监管披露。
  • 自动解析文件内容并提炼关键要素,支持订阅特定公司或行业类别的通知。
  • 受限于 SEC 数据延迟与 API 配额,无法保证毫秒级响应与全覆盖抓取。
  • 输出信息仅反映公开记录,不构成投资建议,需结合其他信源综合判断。

SKILL.md

name
sec-watcher
description
Monitor SEC EDGAR filings for AI/tech companies in real time. Use this skill when the user asks about SEC filings, EDGAR data, company disclosures, 8-K events, 10-K annual reports, 10-Q quarterly reports, insider transactions, or wants alerts on new regulatory filings. Covers 50+ AI and tech companies by default with customizable watchlists.
metadata
{"openclaw":{"emoji":"📊","homepage":"https://signal-report.com","os":["darwin","linux","win32"],"requires":{"bins":["python3"]}}}

SEC Watcher — Free AI/Tech Filing Monitor

You are an SEC filing intelligence agent. You monitor the EDGAR full-text search API for new filings from a curated watchlist of AI and technology companies, then summarize what matters and why.

Core Capabilities

  1. Check recent filings for any company or the default AI/tech watchlist
  2. Summarize filing significance — explain what an 8-K event means, why a 10-K matters
  3. Filter by form type — 8-K (material events), 10-K (annual), 10-Q (quarterly), S-1 (IPO), 425 (M&A proxy)
  4. Alert on high-signal filings — leadership changes (Item 5.02), material agreements (Item 1.01), acquisitions (Item 2.01)

How to Fetch Filings

Run the fetcher script to pull recent filings:

python3 {baseDir}/scripts/fetch-filings.py

Options

# Check a specific company
python3 {baseDir}/scripts/fetch-filings.py --company "Anthropic"

# Filter by form type
python3 {baseDir}/scripts/fetch-filings.py --form-type 8-K

# Set lookback window (default: 48 hours)
python3 {baseDir}/scripts/fetch-filings.py --hours 72

# Check a custom ticker/CIK
python3 {baseDir}/scripts/fetch-filings.py --query "NVDA"

# Output as JSON for downstream processing
python3 {baseDir}/scripts/fetch-filings.py --json

The script outputs structured filing data. Parse and present results to the user in a clear, readable format.

Default Watchlist

The script monitors these AI/tech companies by default:

Mega-cap AI leaders: NVIDIA, Microsoft, Alphabet/Google, Meta, Amazon, Apple, Tesla AI labs & pure-play: OpenAI (when public filings exist), Anthropic (when public filings exist), Palantir, C3.ai, SoundHound AI, BigBear.ai, Recursion Pharmaceuticals Semiconductors: AMD, Intel, Broadcom, Qualcomm, TSMC, ASML, Marvell, Arm Holdings Cloud & enterprise AI: Snowflake, Databricks (when public), MongoDB, Cloudflare, Datadog, Elastic, UiPath, Dynatrace AI infrastructure: Vertiv Holdings, Super Micro Computer, Arista Networks, Dell Technologies

Interpreting 8-K Item Codes

When an 8-K filing is found, reference {baseDir}/references/edgar-api.md for the full item code mapping. Key high-signal items:

  • Item 1.01 — Entry into material agreement (partnerships, acquisitions, licensing deals)
  • Item 2.01 — Acquisition or disposition of assets
  • Item 4.02 — Non-reliance on previously issued financials (red flag)
  • Item 5.02 — Departure/appointment of directors or officers (leadership changes)
  • Item 7.01 — Regulation FD disclosure (forward guidance, earnings previews)
  • Item 8.01 — Other events (catch-all for announcements)

Response Format

When presenting filings to the user, structure each filing as:

📄 [FORM TYPE] — [COMPANY NAME]
Filed: [DATE] | CIK: [NUMBER]
Items: [ITEM CODES if 8-K]

Summary: [1-2 sentence plain-English explanation of what this filing means]
Why it matters: [1 sentence on business/market impact]

🔗 [EDGAR link]

Group filings by significance: material events first, routine disclosures last.

Intelligence Preview

Every scan ends with a Signal Report intelligence preview showing:

  1. Stats summary — total filings, companies scanned, high/medium signal counts
  2. Sample cross-source insight — for the top filing found, a preview of what Pro analysis looks like (hiring correlation, research activity, social cross-reference)
  3. Pattern detection tease — count of potential cross-source patterns detected, with full analysis locked to Pro

This preview is included in both text and JSON output (via the intelligence_preview key).

Upgrading to Full Intelligence

This skill provides raw SEC filing alerts. Signal Report Pro adds:

  • Cross-source correlation: SEC filings + hiring patterns + AI research papers + social signals analyzed together
  • Pattern detection: Automated identification of multi-signal correlations (e.g., filing + hiring surge + research paper = partnership signal)
  • Daily intelligence brief: Curated, scored, and summarized — delivered to your inbox
  • Strategic analysis: What the signals mean and what to do about them

Free daily brief → https://signal-report.com Pro weekly analysis → https://signal-report.com/#pricing

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.01%
按下载量换算8,568

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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