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Report Generator Adarsh
作者
Adarsh More
· GitHub ↗
· v1.0.0
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当前安装
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版本数
在 OpenClaw 中安装
/install report-generator-adarsh
功能描述
Generates a structured marketing audit report from aggregated data using a single GPT-4.1-mini API call with six predefined sections.
安全使用建议
Do not install yet. Ask the publisher to correct the registry metadata to declare OPENAI_API_KEY as a required env var (and set primary credential), and to provide source/homepage or code so you can review where logs and fallback reports are stored. Confirm where token-usage and error logs are written and who can access them. Ensure the AuditData does not contain sensitive or personally identifiable information before sending it to OpenAI, or add redaction. If you cannot get these clarifications and a source repository, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: report-generator-adarsh
Version: 1.0.0
The skill bundle contains metadata and documentation for a marketing report generator that utilizes the OpenAI API. The instructions in SKILL.md define a standard data transformation process (JSON to Markdown) with clear schemas and error handling, showing no signs of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
The declared purpose (single GPT-4.1-mini call to produce a marketing audit) matches the SKILL.md implementation pattern, but the registry metadata lists no required environment variables or primary credential while SKILL.md explicitly lists OPENAI_API_KEY as the auth dependency — that's an incoherence in declared requirements.
Instruction Scope
SKILL.md is instruction-only and limited to: one system prompt, one user message with AuditData JSON, a single OpenAI call, parsing markdown, and returning a fallback if the API fails. It does not instruct reading system files or paths. However, it calls for token-usage and error logging with unspecified storage/targets and mentions a 'competitor collector fallback' (other modules) which are not included — these areas are underspecified and could expand scope at runtime.
Install Mechanism
There is no install spec and no code files; being instruction-only is low-risk from an installation perspective.
Credentials
The skill requires an OpenAI API key (OPENAI_API_KEY) per SKILL.md but the registry lists no required env vars or primary credential. Requiring a secret API key is expected for this functionality, but it must be declared explicitly in metadata. Also, the SKILL.md states raw AuditData is sent to OpenAI; if that data contains PII or sensitive info, the credential and data exfiltration risk should be clearly documented.
Persistence & Privilege
always:false and no install actions mean the skill does not request persistent system privileges. Autonomous invocation is allowed (default) but is not combined with other high-risk indicators here.
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 report-generator-adarsh - 安装完成后，直接呼叫该 Skill 的名称或使用
/report-generator-adarsh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 release of Report Generator Skill.
- Transforms aggregated marketing data into a structured, professional audit report using a single GPT-4.1-mini API call.
- Strictly enforces use of only one AI call per audit.
- Input: comprehensive marketing data; Output: detailed markdown report, including raw data.
- Robust error handling with fallback report and complete logging for API failures or missing keys.
元数据
常见问题
Report Generator Adarsh 是什么？
Generates a structured marketing audit report from aggregated data using a single GPT-4.1-mini API call with six predefined sections. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 294 次。
如何安装 Report Generator Adarsh？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install report-generator-adarsh」即可一键安装，无需额外配置。
Report Generator Adarsh 是免费的吗？
是的，Report Generator Adarsh 完全免费（开源免费），可自由下载、安装和使用。
Report Generator Adarsh 支持哪些平台？
Report Generator Adarsh 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 Report Generator Adarsh？
由 Adarsh More（@adarshvmore）开发并维护，当前版本 v1.0.0。
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