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版本数
在 OpenClaw 中安装
/install data-reconciliation-exceptions
功能描述
Reconciles data sources using stable identifiers (Pay Number, driving licence, driver card, and driver qualification card numbers), producing exception reports and “no silent failure” checks. Use when you need weekly matching with explicit reasons for non-joins and mismatches.
安全使用建议
Before installing, treat the input files and exception reports as sensitive because they may contain pay numbers, names, and driver document identifiers. Provide only the datasets needed for the reconciliation, confirm matching rules and thresholds, and review the exception report before changing any source system.
功能分析
Type: OpenClaw Skill
Name: data-reconciliation-exceptions
Version: 1.0.0
The skill bundle is benign. The `SKILL.md` clearly outlines a data reconciliation task, including explicit safety instructions such as 'Read-only by default; don’t auto-edit source data' and 'STOP AND ASK THE USER' for clarification, which actively mitigate potential risks. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent. All files are consistent with the stated purpose of data quality and reconciliation.
能力评估
Purpose & Capability
The artifacts coherently match the stated purpose: reconcile CSV/XLSX datasets using stable identifiers such as Pay Number and driver document numbers, then produce explicit exception categories and reports.
Instruction Scope
The workflow is bounded to deterministic matching, normalization, validation, and exception reporting, and it instructs the agent to stop and ask when columns, identifier priority, or tolerances are unclear.
Install Mechanism
The bundle contains instruction/reference text and a CSV report template only; there is no executable code, package install step, shell command, network call, or service integration.
Credentials
The skill expects potentially sensitive employment or driver-identification data, but that access is purpose-aligned, user-provided, and limited to reconciliation.
Persistence & Privilege
No artifact requests credentials, privileged access, persistent memory, background workers, local profile/session stores, or automatic mutation of source data.
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 data-reconciliation-exceptions - 安装完成后，直接呼叫该 Skill 的名称或使用
/data-reconciliation-exceptions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 the data-reconciliation-exceptions skill.
- Reconciles multiple data sources using stable identifiers (Pay Number, driver documents).
- Produces comprehensive exception reports with explicit reasons for each non-match or mismatch.
- Implements “no silent failure” checks—pipelines stop when anomalies or tolerance breaches are detected.
- Provides clear input requirements, configurable normalization, and threshold options.
- Outputs a detailed CSV report categorizing every record (matched, missing, duplicate, mismatch, invalid).
元数据
常见问题
Data quality & reconciliation with exception 是什么？
Reconciles data sources using stable identifiers (Pay Number, driving licence, driver card, and driver qualification card numbers), producing exception reports and “no silent failure” checks. Use when you need weekly matching with explicit reasons for non-joins and mismatches. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 4806 次。
如何安装 Data quality & reconciliation with exception？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install data-reconciliation-exceptions」即可一键安装，无需额外配置。
Data quality & reconciliation with exception 是免费的吗？
是的，Data quality & reconciliation with exception 完全免费（开源免费），可自由下载、安装和使用。
Data quality & reconciliation with exception 支持哪些平台？
Data quality & reconciliation with exception 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 Data quality & reconciliation with exception？
由 KOwl64（@kowl64）开发并维护，当前版本 v1.0.0。
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