← 返回 Skills 市场
129
总下载
2
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install support-to-repro-pack
功能描述
Convert support tickets, logs, and screenshots into sanitized, reproducible engineering issue packs
安全使用建议
This package looks coherent for converting tickets/logs into sanitized repro packs, but check these before installing/using: 1) Verify screenshot/OCR handling — SKILL.md expects image text extraction but the visible code lacks an OCR dependency; confirm how images will be processed and whether platform vision features or extra libraries are required. 2) Install from a trusted local copy (pip install -e /path) rather than running arbitrary remote installs. 3) Run the CLI in audit mode (repro-pack redact --audit) and review 8_redaction_report.json to validate that sensitive fields are detected and replaced; do not assume 100% coverage — test with representative samples. 4) Inspect omitted/remaining files (the manifest truncated 41 files) for any network calls or unexpected endpoints before running on sensitive data. 5) Use an isolated environment (virtualenv/container) when processing sensitive logs/secrets, and avoid uploading raw inputs to third-party services. 6) Confirm template paths and that the .claude/skills templates referenced by the renderer exist in your deployment layout so rendering works as expected.
功能分析
Type: OpenClaw Skill
Name: support-to-repro-pack
Version: 1.0.0
The support-to-repro-pack skill is a legitimate utility designed to automate the creation of sanitized engineering issue reports from support tickets and logs. The bundle includes a Python backend (src/repro_pack/) that performs deterministic PII redaction using extensive regex patterns (patterns.py), extracts environment facts, and builds event timelines. The SKILL.md instructions guide the AI agent to use these tools to protect customer privacy, specifically instructing it to never output raw PII or internal details in customer-facing documents. No evidence of data exfiltration, unauthorized network access, or malicious execution was found; the code is well-structured, transparent, and includes a comprehensive test suite.
能力评估
Purpose & Capability
Name/description match the codebase: there is a deterministic Python backend (redactor, parsers, extractors, packager, CLI) that implements PII redaction, log parsing, stack-trace extraction, facts/timeline extraction and packaging. The SKILL.md instructions to run the Python tools (python -m repro_pack ...) align with the packaged CLI and pipeline.
Instruction Scope
SKILL.md tells the agent to read user-provided files (tickets, log paths, screenshots), save pasted text to temp files, run the CLI tooling, and produce outputs. Reading files and running local tools is expected for this task. One gap: SKILL.md instructs explicit image processing/OCR ("extract all visible text" from screenshots) but the visible Python modules in the manifest don't show an OCR/image-processing dependency or implementation (e.g., pytesseract, PIL, or a vision module) — either these files are among the truncated ones or the agent is expected to use platform vision capabilities. Confirm how screenshots are handled before relying on automatic image OCR.
Install Mechanism
No install spec in the registry (instruction-only skill) but the repo includes a Python package and SKILL.md asks to pip install -e /path/to/support-to-repro-pack. That is reasonable for local use, but there's no remote release host or package publisher declared; you must install from a local path. No external download URLs or installers were present in the provided manifest.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code itself scans for many PII patterns (AWS keys, JWTs, Stripe keys, etc.) which is appropriate for a redaction tool. There are no declared credentials or unrelated environment access requests.
Persistence & Privilege
Flags: always is false and model invocation is allowed by default. The skill does not request permanent system-wide presence or modify other skills. It writes output files and a validation report in the specified output directory — this is expected behavior for a packager.
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 support-to-repro-pack - 安装完成后，直接呼叫该 Skill 的名称或使用
/support-to-repro-pack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
v1.0.0
Initial release of support-to-repro-pack skill.
- Converts support tickets, logs, and screenshots into sanitized, reproducible engineering issue packs.
- Guides user through input collection, PII redaction, structured log analysis, and AI review steps.
- Generates three output documents: engineering issue, internal escalation summary, and customer reply.
- Automates packaging of all sanitized artifacts for engineering handoff.
- Enforces strict PII handling and language matching based on user input.
元数据
常见问题
support-to-repro-pack 是什么？
Convert support tickets, logs, and screenshots into sanitized, reproducible engineering issue packs. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 129 次。
如何安装 support-to-repro-pack？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install support-to-repro-pack」即可一键安装，无需额外配置。
support-to-repro-pack 是免费的吗？
是的，support-to-repro-pack 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
support-to-repro-pack 支持哪些平台？
support-to-repro-pack 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 support-to-repro-pack？
由 mshs01156（@mshs01156）开发并维护，当前版本 v1.0.0。
推荐 Skills