An intelligent redaction and prompting tool that transforms sensitive tasks into privacy-first AI briefs by stripping credentials and PII while maintaining context.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-task-privacy-brief
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-task-privacy-brief using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI Task Privacy Brief is a specialized utility designed to bridge the gap between productivity and data security. It enables users to prepare tasks for AI processing by generating prompt-only briefs that minimize the disclosure of secrets, internal identifiers, and confidential third-party information. By utilizing this skill from the Openclaw Skills library, developers and professionals can leverage the power of LLMs without compromising their organization's security posture.
This skill focuses on transforming raw, potentially sensitive data into a structured format that includes safe prompts, placeholders, and tool-fit recommendations. It ensures that every interaction with an external AI tool or automation is preceded by a rigorous redaction process, keeping your sensitive project names and private keys safe from model training logs and third-party databases.
To integrate this skill into your workflow, ensure your environment is configured to call the AI Task Privacy Brief within your agent framework.
# Example command to register the privacy skill
openclaw install ai-task-privacy-brief
# Run the skill to process a sensitive input file
openclaw run ai-task-privacy-brief --input task_description.txt --output safe_brief.md
The skill organizes output into a standardized Markdown structure to ensure clarity and auditability:
| Section | Description |
|---|---|
| Goal | Defines the desired outcome and success criteria. |
| Safe Prompt | The copy-paste ready instruction for the AI tool using placeholders. |
| Redacted Data Checklist | A transparent list of all removed items (PII, secrets, etc.). |
| Tool-Fit Notes | Recommendations on whether to use local vs. enterprise AI models. |
| Verification Steps | Human-in-the-loop instructions for checking output quality. |
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