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grpo-rl-training

Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training

57

Quality

67%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./backend/cli/skills/ml-training/grpo-rl-training/SKILL.md
SKILL.md
Quality
Evals
Security

Security

1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.

Critical

E006: Malicious code pattern detected in skill scripts.

What this means

Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.

Why it was flagged

Contains an unsafe pattern that executes model-generated code (exec) without enforcing sandboxing, enabling remote code execution and potential system compromise if untrusted completions are used.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

SKILL’s required runtime workflow loads a dataset at runtime (template `get_dataset()` uses `datasets.load_dataset('openai/gsm8k', ...)`), bringing outsider-authored free-form text (questions/answers from an external public dataset) into the LLM context via the training prompts/content fed to `GRPOTrainer`.

Repository
synthetic-sciences/openscience
Audited
Security analysis
Snyk

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