Grades are a hygiene check, not a security guarantee.

MCP, MCP server

Prisma Gemini Deepthink Api

Prisma Gemini Deepthink Api, an MCP server listed in the PlugVet directory.

Compatibility: Not stated.

Grade B

Minor issues only, no Medium or High. Worth a quick look at the findings below before installing.

Graded by PlugVetRubric v2

Not a guarantee. A hygiene check of the source at the commit shown, not a security audit.

INSTALL_UNPINNED SECRETS_PATH_DOTENV SECRETS_ENV_READ

Why this grade

  • INSTALL_UNPINNED Low

    Dependencies use a range or git URL with no lockfile.

    requirements.txt, line 1 fastapi>=0.115.0

  • SECRETS_PATH_DOTENV Low

    Mentions a .env file.

    config.py, line 5 虚拟模型支持通过 .env 中的 VIRTUAL_MODELS_FILE 或 VIRTUAL_MODELS_EXTRA 自定义新增。

  • SECRETS_ENV_READ Note

    Reads an environment variable whose name contains KEY, SECRET, TOKEN, PASSWORD or CREDENTIAL.

    config.py, line 38 GEMINI_API_KEY: str = os.getenv("GEMINI_API_KEY", "")

Any High, or two or more Medium findings, give D. One Medium gives C. Low findings or a security Note give B. Each code names a finding behind the letter.

Grades are a hygiene check of the source at the commit shown, on the date checked, not a security audit or a guarantee. The free directory grades are automated. Before release, a PlugVet engineer reviews every paid report and any grade we hold back, including all F grades, against the source code and the evidence we quote.

What was checked

Plain notes from the hygiene checks.

  • Permissions

    Pass

    No shell or command execution found, and no extra permission was declared.

  • Install and update

    Concern

    dependencies are not pinned.

    INSTALL_UNPINNED

    requirements.txt, line 1

    fastapi>=0.115.0

  • Network

    Pass

    No network call found.

  • Secrets

    Concern

    reads a credential or environment file.

    SECRETS_ENV_READ SECRETS_PATH_DOTENV

    config.py, line 5

    虚拟模型支持通过 .env 中的 VIRTUAL_MODELS_FILE 或 VIRTUAL_MODELS_EXTRA 自定义新增。

    config.py, line 38

    GEMINI_API_KEY: str = os.getenv("GEMINI_API_KEY", "")

    config.py, line 40

    OPENAI_API_KEY: str = os.getenv("OPENAI_API_KEY", "")

    Show more

    config.py, line 156

    # --- DeepThink 流水线配置（.env 可覆盖）---

    config.py, line 256

    max_rounds: int = MAX_ROUNDS # 最大审查轮数（默认走 .env）

    config.py, line 488

    """从 .env 配置加载用户自定义的虚拟模型.

    config.py, line 715

    # 未注册的模型名，直接透传，默认 high + .env 的 MAX_ROUNDS + 全局 provider + 无温度覆盖 + classic

    main.py, line 110

    "Please set the corresponding env var in .env.",

    prompts.py, line 3

    所有 prompt 文本均可通过 .env 配置覆盖。

    prompts.py, line 5

    - 直接在 .env 中写入内容，例如 MANAGER_SYSTEM_PROMPT="你的自定义prompt"

  • Agent instructions

    Pass

    No instruction to ignore earlier instructions or to hide a step.

  • Obfuscation

    Pass

    No encoded or minified payload found.

  • Licence

    Pass

    A licence file is present (LICENSE).

  • Maintainer activity

    Pass

    The latest commit is within the last 365 days.

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Note

Hygiene check of commit 098afada4fc8. dependencies are not pinned. reads a credential or environment file.

Date and source

Date checked:

View source

github.com

Commit graded: 098afada4fc8b164ad224b52c70667151b617753

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Read how this letter is chosen