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Uplo Operations
作者
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
142
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install uplo-operations
功能描述
AI-powered operations knowledge management. Search process documentation, capacity plans, resource allocation data, and KPI dashboards with structured extrac...
安全使用建议
This skill appears to do what it says (connect to UPLO to search SOPs, capacity plans, KPIs) but there are two red flags you should address before installing:
1) Metadata mismatch: the platform registry lists no required config, yet the included skill.json requires an agentdocs_url and api_key. Confirm with the publisher which credentials are actually needed and why the registry metadata omitted them.
2) Runtime install & network exposure: the skill expects to launch an MCP server via npx @agentdocs1/mcp-server (downloads and runs an npm package and starts an HTTP endpoint). Before proceeding:
- Verify the npm package @agentdocs1/mcp-server is from a trusted publisher and review its code or provenance (or use a vetted internal mirror).
- Limit the API key to the minimum permissions (read-only, scoped to the knowledge base) and rotate it after testing.
- Ensure the MCP endpoint is configured securely (use HTTPS if possible, local binding only if you don't want external exposure).
- Consider running this skill in a sandbox or staging org account first and audit the traffic and logs.
Finally, decide whether you want the agent to be able to autonomously call export_org_context or log_conversation; if not, restrict autonomous invocation or require manual approval for those actions. If you need more certainty, ask the skill author for a signed package release, a vetted install artifact, and explicit documentation about API key scopes and the @agentdocs1/mcp-server package source.
功能分析
Type: OpenClaw Skill
Name: uplo-operations
Version: 1.0.0
The uplo-operations skill is a legitimate integration for the UPLO knowledge management platform, providing tools to access and manage operational documentation. It follows standard MCP patterns in skill.json using the @agentdocs1/mcp-server package and includes appropriate safety instructions in identity-patch.md to respect data confidentiality and avoid fabrication. The tools provided, such as search_knowledge and export_org_context, are well-documented and align with the stated purpose of operations intelligence without evidence of malicious intent.
能力评估
Purpose & Capability
The skill's name, README, SKILL.md, and skill.json all describe an operations knowledge connector (search_knowledge, search_with_context, export_org_context, etc.), which is coherent with the stated purpose. However, the registry metadata lists no required config/env, while skill.json clearly declares required configuration (agentdocs_url and api_key). This mismatch is unexpected and should be reconciled.
Instruction Scope
SKILL.md instructs the agent to call MCP tools (search_knowledge, search_with_context, export_org_context, flag_outdated, propose_update, log_conversation). Those actions are appropriate for an operations knowledge skill and do not instruct reading unrelated local files or arbitrary env vars. Note: the operations data accessed (org context, capacity plans, SOPs) is highly sensitive by nature—this is within-scope but high-impact data if misused.
Install Mechanism
Although the registry lists no install spec, README and skill.json indicate the skill expects an MCP server launched via npx @agentdocs1/mcp-server (--http). That entails downloading/executing an npm package at runtime and starting an HTTP service. Pulling code via npx from a public registry is a moderate-to-high risk without auditing the package and its source. The lack of an explicit install spec in registry metadata makes the runtime behavior less transparent.
Credentials
skill.json requires agentdocs_url and api_key (appropriate for connecting to a UPLO instance). But registry metadata declared no required env/config — an inconsistency. The api_key gives access to potentially sensitive organizational knowledge; ensure the key's scope is least-privilege (read-only where possible) and that the platform will securely store/use it.
Persistence & Privilege
The skill is not always-installed and does not request global privileges. However, its mcp command will run a local HTTP MCP server (per skill.json/README), which may persist while the agent is active and expose an endpoint to which data flows. Autonomous invocation is allowed by default — consider whether you want the agent to be able to fetch org context or export snapshots without explicit user confirmation.
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 uplo-operations - 安装完成后，直接呼叫该 Skill 的名称或使用
/uplo-operations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 uplo-operations skill, enabling AI-powered operations knowledge management.
- Search process documentation, capacity plans, resource allocation data, and KPI dashboards with structured extraction.
- Access and retrieve SOPs, runbooks, incident postmortems, vendor SLAs, and key performance metric data.
- Provides workflows for incident response, capacity planning, and operational reviews.
- Includes tools for searching with context, exporting org structure, flagging outdated resources, and proposing documentation updates.
- Offers practical tips for effective operations data searches and maintaining documentation accuracy.
元数据
常见问题
Uplo Operations 是什么？
AI-powered operations knowledge management. Search process documentation, capacity plans, resource allocation data, and KPI dashboards with structured extrac... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 142 次。
如何安装 Uplo Operations？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install uplo-operations」即可一键安装，无需额外配置。
Uplo Operations 是免费的吗？
是的，Uplo Operations 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Uplo Operations 支持哪些平台？
Uplo Operations 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 Uplo Operations？
由 RooJenkins（@roojenkins）开发并维护，当前版本 v1.0.0。
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