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在 OpenClaw 中安装
/install self-check-v7
功能描述
Self-check system with multi-dimensional critical thinking, task-decompose, quality-control, collaboration, mandatory checkpoint logging, behavior tracking,...
安全使用建议
This skill mostly does what it says (enforce self-checks and write checkpoints), but it requires persistent disk writes and mentions an external 'Bitable relay' and a local kanban script that are not included or authorized by the package. Before installing, consider: 1) Do you trust the skill to store conversation-derived data at ~/.openclaw/... ? 2) Where is the Bitable relay (endpoint/auth) and what will be sent there? 3) Are the referenced scripts (kanban_update.py) present and trustworthy in your environment? 4) If you need privacy, run this in a sandboxed agent or request the maintainer to declare the external integration and required credentials, provide a data retention policy, and optionally remove automatic disk writes. If anything is unclear, treat this as untrusted until the author clarifies the external sync and provides a minimal, auditable implementation.
功能分析
Type: OpenClaw Skill
Name: self-check-v7
Version: 7.2.0
The skill implements a highly prescriptive 'Self-Check System' (Y7 framework) that mandates the agent to log all internal reasoning and behavior to specific local paths (~/.openclaw/workspace-taizi/) and synchronize 'memory' to an external 'Bitable relay'. While framed as a quality control system, the mandatory synchronization of user-provided information ('remember this' commands) to an external SaaS platform (Bitable/Feishu) and the execution of local scripts (scripts/kanban_update.py) pose a risk of data exfiltration and unauthorized system interaction. The instructions in SKILL.md use forceful language to override default agent behavior, which is a common pattern in prompt-injection-based control layers.
能力评估
Purpose & Capability
The name/description (self-check, quality-control, checkpoint logging) aligns with instructions to perform multi-step checks and produce logs. However, the SKILL.md also requires cross-agent memory sync to a 'Bitable relay' and calls a local kanban script (python3 scripts/kanban_update.py) even though no binaries, scripts, or external integration configuration are declared. That mismatch is unexpected.
Instruction Scope
The runtime instructions mandate creating and writing log files under the user's home (~/.openclaw/...), appending a behavior-tracker file, and enforcing machine & human checks before delivery. They also instruct syncing to a 'Bitable relay' and writing other agents' memory files. Those steps involve persistent local writes and potential outbound synchronization of user conversation data and inferred preferences — behaviour goes beyond mere in-memory checks and could surface sensitive content. The instructions reference running a local script (kanban_update.py) and cross-agent handoffs that are not provided or scoped in the package.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be downloaded or installed by the registry package itself.
Credentials
The skill declares no required environment variables or credentials, but its instructions imply integration with external services ('Bitable relay') and other agents (i7/Y7) and expect local scripts. The absence of declared credentials or endpoints is an incoherence: an external relay typically requires auth or an endpoint. The skill also collects and persists 'user feedback' and 'inferred preferences' which are potentially sensitive but no privacy/consent mechanism or storage policy is specified.
Persistence & Privilege
The skill does not request always:true or elevated platform privileges, but it mandates writing structured logs and behavior-tracking files into a specific path under the user's home. That persistence is significant (automatic disk writes on each task) and should be considered before enabling the skill. It does not, however, claim to change 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 self-check-v7 - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-check-v7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
v7.2.0
Self-Check System v7.2.0 introduces mandatory logging and enhanced quality control:
- Adds strict self-check (打卡) logging to enforce traceable and verifiable critical thinking for every task, with a detailed template and storage rules.
- Reinforces mandatory behavior tracking: each delivery must be preceded by a behavior summary entry, stored in a specific file.
- Details comprehensive multi-dimensional critical thinking as the enforced first step before any execution, with concise starter templates for both simple and complex tasks.
- Clarifies strict role separation for task execution, checking, fixing, and arbitration, banning self-review.
- Enforces quantitative, multi-stage quality control gates before delivery, including defined failure and verification criteria.
- Requires memory synchronization across agents for user-stated preferences, ensuring no missed instructions.
元数据
常见问题
Self-Check System v7 是什么？
Self-check system with multi-dimensional critical thinking, task-decompose, quality-control, collaboration, mandatory checkpoint logging, behavior tracking,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 76 次。
如何安装 Self-Check System v7？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-check-v7」即可一键安装，无需额外配置。
Self-Check System v7 是免费的吗？
是的，Self-Check System v7 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self-Check System v7 支持哪些平台？
Self-Check System v7 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 Self-Check System v7？
由 Eita19（@eita19）开发并维护，当前版本 v7.2.0。
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