agentic-security-threat-modeling
agentic-security-threat-modeling is an Agent security & guardrails skill for AI agents, published by anshumanbh in the securevibes repository on GitHub. Skillspace rates agentic-security-threat-modeling F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Identify agentic AI security threats based on OWASP Top 10 for Agentic Applications 2026. Use when analyzing AI agents, LLM-powered applications, chatbots, auto-reply systems, tool-using AI, browser automation, sandbox execution, or any application that uses AI/LLM APIs (Anthropic, OpenAI, Claude, GPT) to process user input and take actions.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 280
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 90 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- AGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- dynamic code execution (eval/exec)
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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