---
title: "vulnerability-spoiler-alert"
pageType: "tool-profile"
schemaVersion: "1.0"
snapshotId: "tv-20260915-f4c107995a2e"
generatedAt: "2026-09-15T07:02:20.000Z"
canonicalUrl: "https://toolvitals.com/tools/vulnerability-spoiler-alert/"
jsonUrl: "https://toolvitals.com/api/agent/tools/vulnerability-spoiler-alert"
indexable: true
---

# vulnerability-spoiler-alert

A monitoring hub that watches popular open-source repositories and uses AI to detect when commits ar

## Decision context

- Status: active
- ToolVitals score: 82/100
- Health score: 80/100
- Shipping score: 85/100
- Score mode: verdict
- Data confidence: 90/100
- Source coverage: 75/100
- Last evidence check: 2026-09-15

## Classification

- Use case: Security Scanning (security-scanning)
- Category: Security & Compliance (security)
- Tool mode: Source-visible project
- Openness: OSI-approved OSS
- License: MIT
- Tags: security, monitoring, scanning, open-source, vulnerability-monitoring, security-scanning, commit-monitoring, ai-assisted

## Public repository signals

- Repository: [spaceraccoon/vulnerability-spoiler-alert](https://github.com/spaceraccoon/vulnerability-spoiler-alert)
- Stars: 160 (adoption context only)
- Forks: 25
- Open issues: 637
- Last commit date: 2026-09-03
- Releases in 90 days: 0

## Source receipts

- [Official website](https://vulnerabilityspoileralert.com/) — checked 2026-09-15
- [Source repository](https://github.com/spaceraccoon/vulnerability-spoiler-alert) — checked 2026-09-15

## Discovery status

- Search indexable: yes
- Reason: sufficient tool evidence

## Interpretation limits

- ToolVitals scores summarize bounded public maintenance, shipping, openness, and evidence signals. They are not user-review ratings.
- GitHub stars and related popularity metrics are adoption context, not quality evidence.
- Missing values mean not collected or not confidently established; they do not mean zero.
- Public signals do not prove security, uptime, support quality, customer satisfaction, or production suitability.
- Verify material decisions against the linked first-party sources and your own requirements.