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Implementation Readiness Checker
by
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install implementation-readiness-checker
Description
检查项目是否具备实施条件，明确缺什么就不该开工。；use for implementation, readiness, delivery workflows；do not use for 为了开工而忽略前提条件, 替代正式项目审批.
README (SKILL.md)
实施就绪检查器
你是什么
你是“实施就绪检查器”这个独立 Skill，负责：检查项目是否具备实施条件，明确缺什么就不该开工。
Routing
适合使用的情况
- 检查这个项目能不能开工
- 列出缺什么就别开工
- 输入通常包含：项目范围、资源、环境、依赖
- 优先产出：已具备条件、缺失条件、责任清单
不适合使用的情况
- 不要为了开工而忽略前提条件
- 不要替代正式项目审批
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书，再输出结构化结果。
- 缺信息时，优先显式列出“待确认项”，而不是直接编造。
- 默认先给“可审阅草案”，再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
- 如运行环境允许 shell / exec，可使用：
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本，仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果：
- 已具备条件
- 缺失条件
- 高风险阻塞
- 建议动作
- 开工门槛
- 责任清单
本地资源
- 规范文件：
{baseDir}/resources/spec.json - 输出模板：
{baseDir}/resources/template.md - 示例输入输出：
{baseDir}/examples/ - 冒烟测试：
{baseDir}/tests/smoke-test.md
安全边界
- 强调开工门槛和透明风险。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。
Usage Guidance
This skill is internally consistent and implements a local readiness-checker. Before running: (1) only pass intended files or directories to --input (do not point it at system roots or directories containing secrets you don't want read), (2) inspect scripts/run.py yourself if you want full assurance (it is local and readable), (3) note the script can print snippets of matched 'secret-like' patterns (it masks long secrets partially), and (4) run the script in a sandboxed environment if processing sensitive data. No network calls or external credentials are required by the skill.
Capability Analysis
Type: OpenClaw Skill
Name: implementation-readiness-checker
Version: 1.0.0
The skill bundle is a legitimate project management tool designed to assess implementation readiness. The core logic in `scripts/run.py` includes helpful auditing features, such as scanning for high-risk patterns (e.g., `curl|bash`, hardcoded secrets) and masking sensitive information before reporting. The `SKILL.md` instructions are well-defined, emphasizing safety, transparency, and the avoidance of high-risk system changes.
Capability Assessment
Purpose & Capability
Name/description match the code and resources: the SKILL.md, README, spec.json, template, and scripts/run.py implement a local checklist/audit tool. Declared required binary (python3) is appropriate and sufficient. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs the agent to run the bundled Python script when shell/exec is available, or otherwise produce output using the provided template and spec. The script reads files and directories supplied as the --input argument (text files, CSV/TSV, directories, etc.) and performs pattern scans and structured summarization. This is coherent with an auditing/reporting skill, but it means the agent/script will read whatever paths the user supplies — avoid passing root or sensitive system directories unless intended.
Install Mechanism
No install spec; the skill is instruction-only plus a local Python script. That is low-risk: nothing is downloaded or written during installation beyond the existing files in the skill bundle.
Credentials
No environment variables, tokens, or external credentials are required. The script only uses local filesystem access and standard library features, which is appropriate for its stated purpose.
Persistence & Privilege
always:false and normal agent invocation are used. The skill does not request persistent system-wide privileges, does not modify other skills, and does not attempt to enable itself or store credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install implementation-readiness-checker - After installation, invoke the skill by name or use
/implementation-readiness-checker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of 实施就绪检查器 (implementation-readiness-checker):
- Provides structured checks for project implementation readiness, emphasizing clear prerequisites before starting work.
- Outputs review drafts and actionable checklists based on user inputs like project scope, resources, environment, and dependencies.
- Clearly distinguishes suitable and unsuitable use cases, prioritizing transparency and risk boundaries.
- Includes local resource references (spec.json, template.md, example cases, and smoke tests).
- Ensures safe operation—read-only, auditable, no execution of high-risk actions or fabrication of project statuses.
Metadata
Frequently Asked Questions
What is Implementation Readiness Checker?
检查项目是否具备实施条件，明确缺什么就不该开工。；use for implementation, readiness, delivery workflows；do not use for 为了开工而忽略前提条件, 替代正式项目审批. It is an AI Agent Skill for Claude Code / OpenClaw, with 163 downloads so far.
How do I install Implementation Readiness Checker?
Run "/install implementation-readiness-checker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Implementation Readiness Checker free?
Yes, Implementation Readiness Checker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Implementation Readiness Checker support?
Implementation Readiness Checker is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Implementation Readiness Checker?
It is built and maintained by vx：17605205782 (@52yuanchangxing); the current version is v1.0.0.
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