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RedactKit - AI Privacy Scrubber
作者
Shadow Rose
· GitHub ↗
· v1.0.0
· MIT-0
240
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install redact-kit
功能描述
Scan your data before sending it to AI. Detect and redact PII, secrets, and sensitive info. Reversible, local, zero network calls.
安全使用建议
This skill appears to do exactly what it claims: regex-based, reversible local redaction. Important cautions before you install/use it:
- Mapping files contain original sensitive values in plaintext (LIMITATIONS.md documents this). Treat mapping JSON like secrets: never commit them to version control, store them on encrypted filesystems, and restrict filesystem permissions (chmod 600). Consider encrypting mapping files (GPG, filesystem encryption) if they will be stored or transferred.
- Regex-based detection has false positives and false negatives. Test on non-sensitive samples first, use report mode, and add exclusion/custom patterns as needed. Neither the tool nor its patterns provide semantic understanding.
- Custom patterns accept arbitrary regex. Malformed or exponential-time regexes can cause crashes or slowdowns (ReDoS). Validate custom regexes and avoid pathological patterns for untrusted inputs.
- The tool loads entire files into memory and may be slow or OOM on very large files; follow README guidance to split large files.
- Although the code contains no network calls, the README references external preprocessing (OCR, pdftotext) as optional steps; those external tools can introduce network or additional risks—only run trusted preprocessing tools.
If you need higher assurance for compliance (e.g., HIPAA, legal redaction), use a certified tool or additional safeguards—this is a useful ad-hoc/local utility but not a compliance guarantee.
功能分析
Type: OpenClaw Skill
Name: redact-kit
Version: 1.0.0
RedactKit is a legitimate privacy tool designed to redact PII and secrets locally before data is shared with AI services. The codebase (redact_kit.py, redact_patterns.py, redact_restore.py) relies exclusively on the Python standard library, using regex for detection and local JSON files for mapping storage. No evidence of data exfiltration, network calls, or malicious execution was found, and the documentation (SKILL.md) contains no prompt injection attempts or instructions to bypass security controls.
能力评估
Purpose & Capability
Name/description (local reversible redaction) matches the included code and docs. The package only contains a redaction engine, pattern library, CLI helpers and a restoration tool—no unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md and README instruct local redaction and restoration only. Runtime instructions reference only local APIs (the Python library and saving/loading mapping files). There are no instructions to read unrelated system configuration, call external endpoints, or exfiltrate data.
Install Mechanism
No install spec; code is included as plain Python files and uses only the standard library. No downloads from external URLs or package installs are requested.
Credentials
No environment variables, credentials, or config paths are required. The skill's behavior is driven by local config.py (example provided) and CLI args, which is proportionate to its purpose.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or system-wide agent settings. It persists mapping files to disk (by design) but does not request elevated privileges; mapping persistence is expected for reversible redaction.
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 redact-kit - 安装完成后,直接呼叫该 Skill 的名称或使用
/redact-kit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
元数据
常见问题
RedactKit - AI Privacy Scrubber 是什么?
Scan your data before sending it to AI. Detect and redact PII, secrets, and sensitive info. Reversible, local, zero network calls. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 240 次。
如何安装 RedactKit - AI Privacy Scrubber?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install redact-kit」即可一键安装,无需额外配置。
RedactKit - AI Privacy Scrubber 是免费的吗?
是的,RedactKit - AI Privacy Scrubber 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
RedactKit - AI Privacy Scrubber 支持哪些平台?
RedactKit - AI Privacy Scrubber 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 RedactKit - AI Privacy Scrubber?
由 Shadow Rose(@theshadowrose)开发并维护,当前版本 v1.0.0。
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