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aipoch-ai

Visual Content Desc

作者 AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
116
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install visual-content-desc
功能描述
Generates detailed text descriptions of medical images and charts for.
安全使用建议
This skill appears safe from a security/configuration perspective — it runs a small local Python script that formats supplied 'image_type' and 'key_features' into description text. Before using it in production, note: (1) the script does not perform any image analysis — you must supply the visual features yourself, so the skill's advertising of 'detailed' descriptions is dependent on the input quality; (2) do not feed it PHI or sensitive images unless you have reviewed and approved handling policies, because outputs will reflect whatever you input; (3) run the quick checks recommended in SKILL.md (python -m py_compile scripts/main.py, run the script locally with test inputs) to confirm behavior in your environment; (4) if you need real image/chart parsing, expect to integrate additional vetted libraries and re-evaluate dependencies and permissions. If any additional files or install steps are later added to this skill, re-run a security review.
功能分析
Type: OpenClaw Skill Name: visual-content-desc Version: 1.0.0 The skill is a straightforward utility for generating text descriptions and alt-text for medical images. The Python script (scripts/main.py) performs simple string formatting and JSON output without any external dependencies, network calls, or risky system executions. The instructions in SKILL.md are consistent with the stated functionality and do not contain any malicious directives or prompt injection attempts.
能力评估
Purpose & Capability
Name and description claim 'generates detailed text descriptions of medical images and charts' which aligns with the package's purpose, but the actual implementation is a very small template-based generator that requires the caller to provide 'key_features'. The skill does not perform any image analysis or chart parsing itself; it formats provided inputs into text. This is coherent but the advertised capability is somewhat overstated compared with what the code actually does.
Instruction Scope
SKILL.md directs the agent to validate inputs and run the packaged script (scripts/main.py). It does not instruct reading unrelated files, contacting external endpoints, or accessing credentials. The README includes a security checklist and explicitly notes no external API calls and file path validation requirements; the packaged script itself reads no files and makes no network calls.
Install Mechanism
No install spec is provided (instruction-only with a small included script). No downloads or package installs are requested, so nothing is written to disk beyond the provided script when run. This is low risk from an install perspective.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code and SKILL.md do not reference secrets or external service tokens, so requested access is proportionate to the stated purpose.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system-wide settings, and has no install-time hooks. Autonomous invocation (disable-model-invocation=false) is the platform default and not a concern by itself; combined with the minimal footprint here it does not create elevated persistence or privilege.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install visual-content-desc
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /visual-content-desc 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of visual-content-desc. - Generates detailed text descriptions, alt text, and figure legends for medical images and charts. - Provides a scope-focused workflow with explicit input requirements and rigorous error handling. - Includes structured output format and a documented fallback for incomplete or invalid requests. - Features accessible descriptions to support academic writing and reproducible deliverables. - Audit-ready with security checklist and risk assessment.
元数据
Slug visual-content-desc
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Visual Content Desc 是什么?

Generates detailed text descriptions of medical images and charts for. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 116 次。

如何安装 Visual Content Desc?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install visual-content-desc」即可一键安装,无需额外配置。

Visual Content Desc 是免费的吗?

是的,Visual Content Desc 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Visual Content Desc 支持哪些平台?

Visual Content Desc 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Visual Content Desc?

由 AIpoch(@aipoch-ai)开发并维护,当前版本 v1.0.0。

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