S3 AI Agent

by pat-jj• 849•• Scanned•Claim this listing•Request removal
Data Science & MLagentic aiefficiencygpt 5information retrievallarge language models

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

S3 is an open-source ai agent by pat-jj, written mainly in Python, with 849 GitHub stars and the Apache-2.0 license. Its code was last updated Nov 5, 2025.

Scan summary: scanned Nov 5, 2026 at commit ba08d58. Seen able to run shell commands, run dynamic code. Scan policy

Scanned
Full scan at ba08d58 · Nov 5, 2026
Scanned
Static code scanwarn
Secrets scanfail
Dependency audit154 known vulnerabilitiesfail
Manifestnonewarn
Buildfail
Boot & handshaken/a
Network egressn/a
Reproducible (×3)n/a

Findings (16)

  • high
    secrets issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • high
    dependencies issue
    Details are available to the maintainer after claiming this listing.
  • medium
    Deserializes data with pickle/marshal, which can execute code.
    verl/protocol.py:222
  • medium
    Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
    verl/utils/hdfs_io.py:136
  • medium
    httpcore2@2.9.1: 1 known vulnerability
    PYSEC-2026-3844
    requirements.txt
  • medium
    httpx2@2.9.1: 5 known vulnerabilities
    PYSEC-2026-3845, PYSEC-2026-3846, PYSEC-2026-3847, PYSEC-2026-3848, PYSEC-2026-3849
    requirements.txt
  • medium
    setuptools@9.1.0: 4 known vulnerabilities
    PYSEC-2022-43012, PYSEC-2025-49, PYSEC-2026-1918, PYSEC-2026-3447
    requirements.txt
  • medium
    transformers@5.9.0: 1 known vulnerability
    PYSEC-2026-3929
    requirements.txt
  • medium
    uvicorn@0.9.1: 2 known vulnerabilities
    PYSEC-2020-150, PYSEC-2020-151
    requirements.txt
  • medium
    Install or build failed in a clean environment
    ng>", line 24, in <module> RuntimeError: Cannot find CUDA_HOME. CUDA must be available in order to build the package. hint: `vllm` (v0.1.3) was included because `verl` (v0.1) depends on `vllm<=0.6.3` hint: Build failures usually indicate a problem with the package or the build environment
  • low
    diskcache@5.6.3: 1 known vulnerability
    PYSEC-2026-2447
    requirements.txt
  • low
    No manifest declaring network access and environment variables (agent.json)

Network activity

During install
files.pythonhosted.orgpypi.org
While running
Not run — the code wasn't started in this scan

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