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Oraclaw Graph
作者
Whatsonyourmind
· GitHub ↗
· v1.0.0
· MIT-0
118
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install oraclaw-graph
功能描述
Network intelligence for AI agents. PageRank, community detection (Louvain), critical path, and bottleneck analysis for any graph of connected things.
安全使用建议
This skill appears coherent for a hosted graph-analysis API: providing an ORACLAW_API_KEY is expected. Before installing, verify the provider (https://oraclaw.dev/graph), read their privacy policy and terms, and confirm what endpoint your data will be sent to. Do not upload sensitive or regulated data until you understand retention and access rules. Monitor the ORACLAW_API_KEY usage and rotate/revoke it if misuse is suspected. Note the pricing line (USDC on Base via x402) — confirm how billing is handled and whether any wallet or payment action is required. If you need to test, use synthetic data first and request a least-privileged/test API key from the provider.
功能分析
Type: OpenClaw Skill
Name: oraclaw-graph
Version: 1.0.0
The skill bundle defines a graph analytics tool for network intelligence tasks like PageRank and community detection. It requires an external API key (ORACLAW_API_KEY) and provides functional instructions for the agent to process node and edge data. No malicious code, data exfiltration logic, or harmful prompt injection attempts were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description describe graph analytics (PageRank, Louvain, critical path). The only requested credential is ORACLAW_API_KEY which is appropriate for a hosted API-based analysis service. No unrelated binaries, config paths, or extra credentials are requested.
Instruction Scope
SKILL.md defines an analyze_decision_graph tool and input/output schema and stays within the advertised graph-analysis function. It does not contain instructions to read unrelated system files or env vars. However it lacks explicit runtime details: no concrete API endpoint, no data handling or PII/redaction guidance, and no clarity about where graph data is transmitted (the homepage is provided but the runtime network target is unspecified). You should assume your graphs (which may contain sensitive info) will be sent to the provider.
Install Mechanism
Instruction-only skill with no install spec and no files to execute. This minimizes local write/execute risk.
Credentials
Requires a single API key (ORACLAW_API_KEY) as the primary credential, which matches a hosted API service. No other tokens, keys, or unrelated environment variables are requested.
Persistence & Privilege
Skill is not forced-always (always: false) and uses standard agent invocation settings. It does not request persistent system-wide privileges or attempt to modify other skills/configs.
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 oraclaw-graph - 安装完成后，直接呼叫该 Skill 的名称或使用
/oraclaw-graph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 oraclaw-graph skill (v1.0.0).
- Provides network intelligence tools: PageRank, Louvain community detection, critical path, and bottleneck analysis.
- Accepts graphs with custom node and edge types, supporting various connected data scenarios.
- Requires ORACLAW_API_KEY for access; free tier available (500 analyses/month), $0.05 per analysis after.
- Detailed input/output specifications, supporting AI agents in advanced network analysis tasks.
元数据
常见问题
Oraclaw Graph 是什么？
Network intelligence for AI agents. PageRank, community detection (Louvain), critical path, and bottleneck analysis for any graph of connected things. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 118 次。
如何安装 Oraclaw Graph？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install oraclaw-graph」即可一键安装，无需额外配置。
Oraclaw Graph 是免费的吗？
是的，Oraclaw Graph 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Oraclaw Graph 支持哪些平台？
Oraclaw Graph 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 Oraclaw Graph？
由 Whatsonyourmind（@whatsonyourmind）开发并维护，当前版本 v1.0.0。
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