slime-rl-training

Pass

Audited by Gen Agent Trust Hub on Apr 30, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill fetches the slime framework from the THUDM organization's GitHub repository and a public Docker image (slimerl/slime:latest). These are standard resources for machine learning research from a recognized research group.\n- [COMMAND_EXECUTION]: The skill provides instructions to run training scripts such as train.py and train_async.py. It also supports a --custom-generate-function-path parameter, which allows the agent to load and execute custom Python logic for multi-turn tasks.\n- [PROMPT_INJECTION]: The skill presents an indirect prompt injection surface typical for model training workflows.\n
  • Ingestion points: Data is ingested from local JSONL files via the --prompt-data flag in SKILL.md.\n
  • Boundary markers: Absent. The skill does not provide instructions to wrap or isolate training prompts with delimiters.\n
  • Capability inventory: The framework executes subprocesses for training and rollout and can dynamically load Python code.\n
  • Sanitization: Absent. The skill does not specify validation or filtering steps for the ingested dataset content.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 30, 2026, 03:34 PM