T

threat-model

VERIFIED

by community

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143,890,500installs
Updated Aug 2026

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Description

# threat-model A threat model answers **"what could go wrong with this system, who would do it, and what should we do about it?"** independently of whether any specific bug has been found yet. It is the map; vulnerability discovery is the metal detector. A good threat model tells the pipeline where to look and tells triage which findings matter. **Litmus test:** If patching one line of code makes an entry disappear, it was a vulnerability, not a threat. A threat ("attacker achieves RCE via untrusted media p

Install threat-model

Run this in your OpenClaw agent to add threat-model from the ClawHub registry.

terminal
$openclaw skills install threat-model

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is threat-model safe to install?

threat-model has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does threat-model cost?

threat-model is free to install for OpenClaw via ClawHub.

What are the best alternatives to threat-model?

You can compare threat-model side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install threat-model?

Install threat-model from ClawHub at clawhub.ai/skills/threat-model, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateAug 11, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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