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MAXQDA Timecode Converter

作者 KANG RUIFU · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
248
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install maxqda-timecode
功能描述
Convert transcript timecodes from MM:SS format to MAXQDA [hh:mm:ss] format with timecodes before speaker names, removing the first line and overwriting files.
安全使用建议
This skill appears to do exactly what it says (convert MM:SS to [hh:mm:ss] and put timecodes before speaker names), but be careful: 1) It relies on perl though the metadata doesn't list perl as required — ensure perl is installed. 2) It overwrites your original files and removes the first line of each file; run it first on copies or add an explicit backup step. 3) Replace the example placeholders ($INPUT_FILE, $TEMP_FILE, /path/to/directory/) with concrete paths and test on a small sample to confirm behaviour (especially for files with different encodings or formats). If you plan to install or allow autonomous runs, ask the author to update the metadata to declare perl as a required binary and to offer a non-destructive mode or explicit backup option.
功能分析
Type: OpenClaw Skill Name: maxqda-timecode Version: 1.0.0 The skill bundle provides Perl scripts for reformatting interview transcript timecodes into a MAXQDA-compatible format. The logic in SKILL.md is transparent, focused entirely on local text processing (regex-based substitution and time calculation), and contains no indicators of data exfiltration, network activity, or malicious intent.
能力评估
Purpose & Capability
The described purpose (timecode conversion and reordering) matches the provided one-liner and batch examples. However, the metadata says no required binaries, while the instructions rely on perl (and standard shell utilities like mv). The omission of perl from required binaries is an inconsistency.
Instruction Scope
Instructions explicitly overwrite original files and remove the first line of each file — a destructive action that should be made explicit in metadata and UI and offer a backup option. The examples reference shell variables ($INPUT_FILE, $TEMP_FILE) and a directory path placeholder without declaring them; users may accidentally run these on the wrong files. There is no remote network activity or credential access in the instructions.
Install Mechanism
This is an instruction-only skill (no install script), which minimizes supply-chain risk. Still, it depends on an interpreter (perl) and standard shell tools; the skill should declare perl as a required binary or provide a fallback implementation in a more commonly available tool (e.g., awk/python) to avoid hidden failures.
Credentials
The skill requests no credentials or environment variables, which is appropriate for a local file conversion task. Minor issue: example uses $INPUT_FILE/$TEMP_FILE placeholders and path strings that are not documented as inputs in the metadata.
Persistence & Privilege
No persistent presence is requested (always:false) and the skill does not request elevated agent privileges. Autonomous invocation is allowed by default but not itself a red flag here.
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 maxqda-timecode
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maxqda-timecode 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
v1.0.0
Initial release - converts interview transcript timecodes from MM:SS to MAXQDA-compatible [hh:mm:ss] format
元数据
Slug maxqda-timecode
版本 1.0.0
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

MAXQDA Timecode Converter 是什么?

Convert transcript timecodes from MM:SS format to MAXQDA [hh:mm:ss] format with timecodes before speaker names, removing the first line and overwriting files. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 248 次。

如何安装 MAXQDA Timecode Converter?

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

MAXQDA Timecode Converter 是免费的吗?

是的,MAXQDA Timecode Converter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

MAXQDA Timecode Converter 支持哪些平台?

MAXQDA Timecode Converter 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 MAXQDA Timecode Converter?

由 KANG RUIFU(@kiriny1999)开发并维护,当前版本 v1.0.0。

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