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work-estimation-en

作者 jinqiu193 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
55
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install work-estimation
功能描述
Software Development Work Estimation Skill. Triggered when user mentions "work estimation", "project estimation", "effort estimation", "timeline assessment",...
安全使用建议
This skill appears to be a legitimate Excel report generator for estimations, but there are mismatches and small risks you should address before installing: - Missing dependency declaration: generate_estimation.py imports openpyxl but the skill has no install spec. Ensure the runtime has the correct Python packages installed (or ask the author to provide a proper requirements list/install). Running in a sandbox or virtual environment is recommended. - Functionality mismatch: SKILL.md promises automatic requirement parsing and support for .docx, but the bundled code only formats already-structured modules into Excel. Verify whether the LLM agent is expected to do the NLP breakdown, or whether the skill should include parsing code. Ask the publisher to clarify. - Hardcoded developer path: scripts/test_login.py inserts a Windows user Roaming path (C:/Users/Administrator/...) into sys.path. This is unusual in distributed packages — inspect or remove this test file before running, and confirm it won't access unexpected local files. - No network calls or credential requests were found in the code, which is good; still, review any future changes for hidden endpoints. If you proceed: run the code in an isolated environment, inspect/clean the test script, and request a dependency manifest (requirements.txt) or an install spec from the author. If the author intends the LLM to perform the breakdown, confirm that in documentation to avoid surprise expectations.
功能分析
Type: OpenClaw Skill Name: work-estimation Version: 1.0.1 The skill bundle is a legitimate tool for generating software development work estimation reports in Excel format. The Python logic in `scripts/generate_estimation.py` uses the `openpyxl` library to create structured spreadsheets and contains no evidence of data exfiltration, malicious execution, or unauthorized system access. While `scripts/test_login.py` contains a hardcoded local file path, this appears to be a developer's configuration artifact rather than a malicious indicator.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
SKILL.md describes automatic requirement analysis and accepts document paths (.md, .docx, .txt). The included Python code (generate_estimation.py) only implements Excel generation from a structured modules list and does not perform NLP breakdown or any .docx parsing; no dependency (e.g., python-docx or NLP libraries) is declared. This is plausible if the LLM does the breakdown and the script only formats results, but the repository contents imply a mismatch between the claimed end-to-end automation and the code provided.
Instruction Scope
SKILL.md instructs collecting requirement text or document paths and producing Excel reports — that scope is appropriate. The code itself performs only offline Excel creation and date calculations (including holiday skipping). However scripts/test_login.py contains a hardcoded Windows developer path (C:/Users/Administrator/...) inserted into sys.path which references a user-specific runtime location; this is unexpected and should be reviewed. There are no instructions or code that read environment secrets or make network calls.
Install Mechanism
There is no install spec. The Python code depends on third-party packages (openpyxl is imported) but the skill does not declare or install these dependencies. This can cause runtime failures or lead to ad-hoc installs on the host (operator may pip-install packages). Missing dependency declarations are a packaging/operational concern.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code does not attempt to read secrets or external config. The only oddity is the hardcoded sys.path insertion pointing to a user-specific Roaming path — not a credential, but it references an agent/runtime directory which is unexpected and should be checked.
Persistence & Privilege
Skill flags are default (always:false, user-invocable, normal autonomous invocation allowed). There is no install step and no code that modifies other skills or system agent configuration. No persistent privileged behavior detected.
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 work-estimation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /work-estimation 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
v1.0.1
- Language changed from Chinese to English throughout the skill description and documentation. - Name changed from `work-estimation-zh` to `work-estimation-en`. - All trigger phrases, workflow steps, output sheet names, and usage examples now in English. - No functional or feature changes detected; this is a translation/update for English-speaking users.
元数据
Slug work-estimation
版本 1.0.1
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

work-estimation-en 是什么?

Software Development Work Estimation Skill. Triggered when user mentions "work estimation", "project estimation", "effort estimation", "timeline assessment",... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 55 次。

如何安装 work-estimation-en?

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

work-estimation-en 是免费的吗?

是的,work-estimation-en 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

work-estimation-en 支持哪些平台?

work-estimation-en 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 work-estimation-en?

由 jinqiu193(@jinqiu193)开发并维护,当前版本 v1.0.1。

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