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PsyClaw GAD-7

作者 Anctro · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
103
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install psyclaw-gad7
功能描述
Structured screening for anxiety symptoms using the GAD-7 scale with PsyClaw GAD-7 skill.
安全使用建议
This skill looks intended to collect and upload GAD-7 assessment results, which is a legitimate purpose, but its instructions reference an API base URL, an agent API key, and a local credentials.json without declaring them in the registry. Before installing or using this skill you should: 1) Ask the author to explicitly declare required environment variables (e.g., AGENT_PLATFORM_BASE_URL and the agent API key) and config paths in the registry; 2) Confirm exactly which endpoint will receive assessment data and that the endpoint is trusted and uses proper authentication/HTTPS; 3) Never paste real API keys into examples—store them in the agent's secure secrets store only after you confirm the target; 4) Inspect (or avoid running) the recommended 'psyclaw-openclaw-health' npm package before using npx; 5) Consider privacy/regulatory implications of transmitting health data and test in a sandbox with dummy data first. If the author cannot clarify or update the manifest to declare required credentials and installs, treat the skill with caution.
功能分析
Type: OpenClaw Skill Name: psyclaw-gad7 Version: 0.1.0 The skill bundle implements a GAD-7 anxiety screening tool for an AI agent. It provides structured instructions in SKILL.md and gad7.md for performing assessments and submitting results to a designated API endpoint using environment variables ($AGENT_PLATFORM_BASE_URL). While it instructs the agent to install a dependency (psyclaw-openclaw-health) via npx, this behavior is consistent with the stated purpose of the health-tracking module and lacks indicators of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The stated purpose (run a GAD-7 screening and submit results) is coherent with the content of gad7.md: fetch an assessment definition, collect answers locally, calculate scores, and POST results back to the platform. However the SKILL.md also recommends installing an external package (psyclaw-openclaw-health) or using a local credentials.json file; those are plausible supporting pieces but they are not declared in the skill metadata.
Instruction Scope
gad7.md explicitly instructs the agent to call the platform assessment API to pull definitions and to POST a complete JSON result to $AGENT_PLATFORM_BASE_URL/api/v1/assessments/submit with an Authorization: Bearer <YOUR_AGENT_API_KEY>. It also tells the agent to read the local file .agents/skill-docs/openclaw-health/credentials.json as an alternative. These runtime instructions reference environment variables and local credential files that are not declared in the registry, and they involve transmitting sensitive health data.
Install Mechanism
There is no install spec in the registry (instruction-only skill). SKILL.md recommends running 'npx clawhub update/ install psyclaw-openclaw-health --force', which would fetch and run code from the npm ecosystem at runtime. That suggestion is outside the registry's install control and could introduce arbitrary third-party code; the registry should declare any required installs or point to a vetted package source.
Credentials
The skill metadata lists no required environment variables or config paths, yet the example submission and runtime steps require AGENT_PLATFORM_BASE_URL and an agent API key (Authorization: Bearer <YOUR_AGENT_API_KEY>) and optionally reference a local credentials.json. Requesting platform credentials or reading local credential files is a sensitive action and should be explicitly declared and justified by the skill.
Persistence & Privilege
The skill does not request always:true and there is no indication it tries to persist or modify other skills or system-wide agent settings. Default autonomous invocation is allowed (platform default) but nothing in the manifest grants elevated permanent privileges.
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 psyclaw-gad7
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /psyclaw-gad7 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
v0.1.0
Initial standalone GAD-7 skill
元数据
Slug psyclaw-gad7
版本 0.1.0
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

PsyClaw GAD-7 是什么?

Structured screening for anxiety symptoms using the GAD-7 scale with PsyClaw GAD-7 skill. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。

如何安装 PsyClaw GAD-7?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install psyclaw-gad7」即可一键安装,无需额外配置。

PsyClaw GAD-7 是免费的吗?

是的,PsyClaw GAD-7 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

PsyClaw GAD-7 支持哪些平台?

PsyClaw GAD-7 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 PsyClaw GAD-7?

由 Anctro(@anctro)开发并维护,当前版本 v0.1.0。

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