Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
SEC Watcher
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 event...
skill openclawclawhub Free
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 event...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, references/edgar-api.md, scripts/fetch-filings.py, scripts/test_skill.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- sukanto-m
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
Check recent filings for any company or the default AI/tech watchlist Summarize filing significance — explain what an 8-K event means, why a 10-K matters Filter by form type — 8-K (material events), 10-K (annual), 10-Q (quarterly), S-1 (IPO), 425 (M&A proxy) 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: Stats summary — total filings, companies scanned, high/medium signal counts Sample cross-source insight — for the top filing found, a preview of what Pro analysis looks like (hiring correlation, research activity, social cross-reference) 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
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts
- SKILL.md
- README.md
- references/edgar-api.md
- scripts/fetch-filings.py
- scripts/test_skill.py