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Local GMNCODE Vision Pro

Name: Local GMNCODE Vision Pro
Author: io2077

作者 iO2077 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

107

总下载

当前安装

版本数

在 OpenClaw 中安装

/install local-gmncode-vision-pro

功能描述

Advanced local vision infrastructure for agents when built-in image tools are unavailable or unreliable. Use for batch image analysis, structured JSON output...

使用说明 (SKILL.md)

local-gmncode-vision-pro

Use this skill when basic single-image fallback is not enough and the task needs production-grade image understanding.

Core scripts

Batch processing: /home/ubuntu/.openclaw/workspace/skills/local-gmncode-vision-pro/scripts/vision_batch.py
Structured JSON output: /home/ubuntu/.openclaw/workspace/skills/local-gmncode-vision-pro/scripts/vision_json.py

Workflow

Prefer the built-in image tool if it is healthy and available.
If image fails or needs more control, use the Pro scripts.
For multi-image work, use vision_batch.py.
For agent/tool pipelines, use vision_json.py to get machine-readable output.
If results are uncertain, say so explicitly and return best-effort ranked hypotheses.

Dependencies

Environment variable: GMNCODE_API_KEY
Model route: gpt-5.4

Read when needed

Read this file for packaging, pricing, and promotion: /home/ubuntu/.openclaw/workspace/skills/local-gmncode-vision-pro/references-go-to-market.md

Output principles

Be explicit about uncertainty.
Separate confirmed observations from inference.
Prefer structured output for automation.
Do not overclaim exact character identity when only style-level evidence exists.

安全使用建议

Do not install or provide credentials to this skill until you are comfortable with the external transmission of images. Key points to consider: - This skill is NOT truly local: it base64-encodes images and sends them to https://gmncode.cn. Treat this as sending sensitive data to a third party. - Registry metadata omits the required GMNCODE_API_KEY; the discrepancy is suspicious and should be fixed or explained before trusting the skill. - If you need to evaluate safely: inspect/modify scripts locally, run them with non-sensitive test images, and monitor network traffic to confirm endpoints. Only supply an API key if you trust the gmncode.cn service and its privacy/retention policies. Prefer a version that performs inference locally (no network) if you require true local processing.

功能分析

Type: OpenClaw Skill Name: local-gmncode-vision-pro Version: 1.0.0 The skill functions as a client for an obscure third-party service (gmncode.cn) and sends an API key (GMNCODE_API_KEY) along with base64-encoded image data to an external endpoint (https://gmncode.cn/v1/responses). The use of a non-existent model identifier (gpt-5.4) and a .cn domain for a vision infrastructure service is highly suspicious and may indicate a data-harvesting front or an untrustworthy proxy. The core logic is contained in scripts/vision_json.py and scripts/vision_batch.py.

能力评估

⚠ Purpose & Capability

The name/description emphasize a local/professional offline fallback, but the included scripts POST base64-encoded images to https://gmncode.cn/v1/responses using a GMNCODE_API_KEY. Requiring an external API key and network calls contradicts the 'local' implication. Additionally, SKILL.md lists GMNCODE_API_KEY in Dependencies while the registry metadata shows no required env vars — a clear mismatch.

⚠ Instruction Scope

Runtime instructions point to local scripts that read arbitrary image file paths and invoke the bundled Python scripts. The scripts encode whole images and transmit them to an external endpoint without any SKILL.md warning about external transmission or privacy/retention. SKILL.md also hardcodes absolute paths under /home/ubuntu, which may not be valid for other environments.

ℹ Install Mechanism

There is no install spec (lower install risk), but code files require Python and the 'requests' library which are not declared. No downloaded or extracted binaries are present, but the lack of dependency declaration may cause runtime failures or unexpected behavior.

⚠ Credentials

The code reads GMNCODE_API_KEY from the environment (and will fail without it), yet the registry metadata does not declare any required env vars or a primary credential. Asking for an API key that grants a third-party service the ability to receive full image payloads is a high-impact secret and should be explicitly declared and justified.

✓ Persistence & Privilege

The skill is not always-enabled, does not request system-wide persistence, and has no install script that modifies other skills or global agent configuration.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install local-gmncode-vision-pro
安装完成后，直接呼叫该 Skill 的名称或使用 /local-gmncode-vision-pro 触发
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 Pro release: batch image analysis, JSON output, and resilient fallback vision workflows for agents.

元数据

Slug local-gmncode-vision-pro

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