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Alkur123/agentic-redteam-benchmark

v0.8 preview · 2,288 multi-step agent trajectories · 513 hand-authored gold + 1,775 provenance-flagged augmented. A per-step benchmark that scores whether a verifier catches drift inside an agent's trajectory — not whether a prompt is harmful.

Python OTHER GitHub ↗ site ↗
★ 1
stars
70
AI relevance
65
solo dev
0
tool sigs

GitHub Topics

#agent-monitoring #agentic-ai #ai-agents #ai-alignment #ai-control #ai-governance #ai-safety #ai-security #benchmark #dataset #evaluation #llm-agents #red-teaming #trajectory-analysis

Language breakdown (by bytes)

Shell
0.9%
Python
99.1%

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match
Description +25 matched: agent
GitHub topics +25 matched: ai
README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 70 / 100

Position among AI repos in the same language

We track 19,182 Python repos, of which 14,957 score 40 or above on AI relevance. 1,356 have more stars than this one (top 7.1%), and 4,170 score higher (top 21.7%).

Owner

Account
Alkur123
Type
User
Followers
2

AI engineer focused on LLM safety, governance, and evaluation. Building inference-time governance systems for AI decision control .

Dates

Created on GitHub 2026-06-21
Last push 2026-10-12
First seen here 2026-06-21
Last fetched 2026-10-12 16:13

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