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aipoch-ai

Visual Content Desc

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
116
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install visual-content-desc
Description
Generates detailed text descriptions of medical images and charts for.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install visual-content-desc
  3. After installation, invoke the skill by name or use /visual-content-desc
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug visual-content-desc
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Visual Content Desc?

Generates detailed text descriptions of medical images and charts for. It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.

How do I install Visual Content Desc?

Run "/install visual-content-desc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Visual Content Desc free?

Yes, Visual Content Desc is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Visual Content Desc support?

Visual Content Desc is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Visual Content Desc?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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