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踏实执行工作法

作者 yangyunxiao-ai · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
97
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install solid-execution
功能描述
强调逐步、完整且持续执行任务,确保言行一致、无遗漏,并通过三方监督保障质量和可靠性。
安全使用建议
This skill is an instruction-only policy that tries to make agents persist state (tasks/pending-queue.md, HEARTBEAT), run scheduled/automatic reports (cron/5-minute heartbeats), and call tools/APIs when it detects 'action' words. That behavior requires filesystem access, timers, and possibly external API credentials — none of which are declared. Before installing or enabling this skill: 1) confirm where HEARTBEAT and pending files would be stored and that those paths are safe (not /etc, home, or other sensitive locations); 2) verify which tool integrations (Feishu, sessions, cron) the agent will actually call and what credentials they need; 3) prefer running it in a sandboxed agent or restrict its permissions (no background timers, no writes outside a controlled data directory); 4) ask the author to declare required env/config and to provide explicit safeguards for persisted data and external calls. The mismatch between declared requirements and the instructions is a legitimate reason to pause or sandbox it.
功能分析
Type: OpenClaw Skill Name: solid-execution Version: 3.2.0 The 'solid-execution' skill bundle is a behavioral framework designed to improve AI agent reliability and diligence through strict execution rules. The instructions (SKILL.md, AI-AGENT-SPECIAL.md, IRON-LAW.md) mandate 'action-word consistency,' requiring the agent to perform actual tool calls whenever it claims to be 'continuing' or 'completing' a task. It utilizes a self-supervision model involving 'Supervision' and 'Villain' personas to verify work quality and uses files like HEARTBEAT.md for persistent task tracking. There is no evidence of malicious intent, data exfiltration, or unauthorized command execution; the authoritative language ('Imperial Decree') is a prompt-engineering technique to ensure agent adherence to the productivity workflow.
能力评估
Purpose & Capability
The name/description (enforce disciplined execution) aligns with the SKILL.md content (checks, heartbeats, verification, 3-agent supervision). However the runtime requirements implied by the instructions (writing persistent files, scheduling timers/cron, calling external APIs/tools) are not reflected in the declared requirements (no env vars, no config paths, no binaries). That mismatch suggests the skill expects capabilities it did not declare.
Instruction Scope
The SKILL.md instructs agents to: perform silent pre-response checks, call tools when action verbs appear, persist a pending-queue to tasks/pending-queue.md or HEARTBEAT, set HEARTBEAT trigger times (to enable '5 minute' reports), retry API calls, and use cron/sessions. Those are concrete system actions (file I/O, timers, API calls) and go beyond simple guidance; they also require access to state and external services. The instructions do not constrain what data is persisted nor specify safe storage paths or required credentials.
Install Mechanism
No install spec and no code files beyond documentation — lowest install risk. Nothing is downloaded or installed by the skill itself.
Credentials
The skill declares no required env vars or credentials, yet it refers to tools and APIs (feishu_doc example, sessions tool, cron, HEARTBEAT persistence) that typically require credentials and configuration. Requiring persistent storage and cross-session timers without declaring config or permission needs is disproportionate and opaque.
Persistence & Privilege
The skill mandates persistent behaviors (write HEARTBEAT, pending-queue files, cron-like scheduling) and asserts it is a 'must-follow' iron law for all agents, but metadata does not mark always:true and does not declare config paths. This creates a gap between the enforced runtime behavior (persistent state, automatic actions) and declared privileges. If the agent environment allows file writes/cron or background notifications, the skill would cause cross-session persistence without having declared it.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install solid-execution
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /solid-execution 触发
  4. 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
v3.2.0
Version 3.2.0 introduces an enhanced supervision system and workflow requirements for solid-execution. - Added "三方监督机制" (Triple-Agent Oversight: 监督 Agent, 诤友 Agent, 反派 Agent) to enforce execution standards. - Defined clear roles, duties, and inspection items for each supervising agent. - Expanded and clarified step-by-step execution and quality assurance workflows. - Updated prohibited behaviors with detailed descriptions for 9 categories. - Included quick checklists for pre-, mid-, and post-execution phases. - Reiterated that all agents must strictly follow these ironclad rules.
元数据
Slug solid-execution
版本 3.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

踏实执行工作法 是什么?

强调逐步、完整且持续执行任务,确保言行一致、无遗漏,并通过三方监督保障质量和可靠性。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 97 次。

如何安装 踏实执行工作法?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install solid-execution」即可一键安装,无需额外配置。

踏实执行工作法 是免费的吗?

是的,踏实执行工作法 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

踏实执行工作法 支持哪些平台?

踏实执行工作法 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 踏实执行工作法?

由 yangyunxiao-ai(@yangyunxiao-ai)开发并维护,当前版本 v3.2.0。

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