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mindlab-research/CrackedShell-Sec-171

published by @mindlab-research

Alignment dataset tracked in the /datasets sub-catalog.

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645 KB
Created on HF
2026-04-04
Age
6 months ago

Description

CrackedShell-Sec-171

CrackedShell-Sec-171 is a file-native benchmark corpus for evaluating agent security behavior, runtime safeguards, tool-use controls, and red-team robustness. The dataset ships each benchmark as a standalone bundle so evaluators can preserve the original multi-file layout during ingestion and execution.

Highlights

171 benchmark bundles with per-case metadata, labels, and supporting assets.

Multi-file bundle format designed for agent-skill… See the full description on the dataset page: https://huggingface.co/datasets/mindlab-research/CrackedShell-Sec-171.

Tags

license:apache-2.0region:ussecuritybenchmarkagentsred-teamskill-bundle

README current version from Hugging Face


pretty_name: CrackedShell-Sec-171
license: apache-2.0
tags:

  • security
  • benchmark
  • agents
  • red-team
  • skill-bundle
    size_categories:
  • 100<n<1K

CrackedShell-Sec-171

CrackedShell-Sec-171 is a file-native benchmark corpus for evaluating agent security behavior, runtime safeguards, tool-use controls, and red-team robustness. The dataset ships each benchmark as a standalone bundle so evaluators can preserve the original multi-file layout during ingestion and execution.

Highlights

  • 171 benchmark bundles with per-case metadata, labels, and supporting assets.
  • Multi-file bundle format designed for agent-skill ingestion, runtime-policy testing, and adversarial evaluation pipelines.
  • Structured annotations exposed through manifest.json, labels.json, and optional file_graph.json files.
  • Broad scenario coverage across families such as benign (30), unknown (19), data_exfiltration (18), prompt_injection (17), credential_theft (16), agent_hijacking (15).
  • Severity-style annotations present in the corpus with values including critical (63), high (57), none (33), medium (17), low (1).

Repository layout

.
├── README.md
├── LICENSE
└── skill_bundles/
    ├── index.json
    ├── BND-*/
    │   ├── manifest.json
    │   ├── labels.json
    │   ├── file_graph.json
    │   └── files/
    │       ├── SKILL.md
    │       ├── docs/
    │       ├── runtime/
    │       └── scripts/

Data format

  • skill_bundles/index.json: corpus-level index for the full benchmark set.
  • manifest.json: case metadata such as family, severity, permissions, entrypoints, and benchmark annotations.
  • labels.json: per-bundle labels for evaluation and filtering.
  • file_graph.json: optional graph representation of relationships between files inside a bundle.
  • files/: benchmark payload content, including instructions, scripts, runtime configs, prompts, and documentation assets.

Recommended use

This corpus is well suited for:

  • agent security benchmarking
  • policy and guardrail evaluation
  • adversarial skill-ingestion tests
  • tool permission and runtime-control validation
  • benchmark-driven red-team experiments

Citation

If you use CrackedShell-Sec-171 in your work, please cite:

@misc{shiroyang2026skillssecurity,
  author = {Shiro Yang and Rio Yang and Andrew Chen and Pony Ma and {Mind Lab}},
  title = {OpenClaw Skill Security: Intent-Capability-Behavior Consistency as a New Framework},
  year = {2026},
  howpublished = {Mind Lab: A Lab for Experiential Intelligence},
  note = {https://macaron.im/mindlab/research/openclaw-skill-security-intent-capability-behavior-consistency-framework}
}

License

This dataset is released under the Apache License 2.0. You may use, modify, and redistribute the corpus under the terms of the license; see the LICENSE file for the full text.

Because some benchmark bundles include executable scripts and adversarial test content, they should only be inspected or run in isolated evaluation environments with appropriate safeguards.

README history 2 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-04-11Add bibtexfe6796a3.1 KB
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  2. 2026-04-07Refresh dataset files4a54f862.6 KB
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Metadata

License
apache-2.0

Repository

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("mindlab-research/CrackedShell-Sec-171")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="mindlab-research/CrackedShell-Sec-171", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/mindlab-research/CrackedShell-Sec-171
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