superred-target-asb

Agent Security Bench (ASB) agent as a superred Target.

This module runs ASB's real, vendored plan-then-execute agent loop (pinned to upstream commit 1f561dcc) against a litellm proxy. It is a bare runtime that exposes the four ASB injection surfaces (DPI / OPI / PoT / MP) as superred Controllables over a trust-boundary forest (roots: user, system, tools, memory), restores ASB's durable memory store, and performs no injection by default. The benchmark-specific data, grading, and tasks live in the paired superred-claim-asb package.

The importable package name is asb_target:

from asb_target import AsbTarget

Install

pip install superred-target-asb

Credits / upstream

This target vendors and runs the real agent loop from Agent Security Bench (ASB) by AGI Research (ICLR 2025, arXiv:2410.02644), pinned to upstream commit 1f561dcc.

  • ASB source (pyopenagi/, aios/) is redistributed under its original MIT License, Copyright (c) 2024 AGI Research (https://github.com/agiresearch/ASB), preserved at src/asb_target/_asb_vendor/LICENSE.
  • The bundled tool-definition data (data/all_normal_tools.jsonl) and the example-agent config.json files are ASB data under the same MIT license.

Everything else in this module (the superred Target, the event-based injection model, the litellm-proxy transport, the durable cosine memory store, and the trust-boundary forest) is original work, MIT-licensed, Copyright (c) 2026 Simon Sure. See LICENSE and NOTICE. Cite ASB when reporting results.

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Credits

Author: Simon Sure

GitHub Statistics

Data verified by PyPI on Jul 22, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python <3.14, >=3.11

Provides Extra

dev

Tags

agent agent-security-bench ai-safety llm red-teaming security superred

Classifiers

Report project as malware

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