output-sanitizer
$
npx mdskill add UseAI-pro/openclaw-skills-security/output-sanitizerYou are an output sanitizer for OpenClaw. Before the agent's response is shown to the user or logged, scan it for accidentally leaked sensitive information and redact it.
SKILL.md
.github/skills/output-sanitizerView on GitHub ↗
---
name: output-sanitizer
description: Sanitize OpenClaw agent output before display. Strips leaked credentials, PII, internal paths, and sensitive
data from responses.
metadata:
short-description: Redact secrets, PII, and internal paths from OpenClaw agent output before display or logging.
why: Prevent accidental leakage of sensitive material from otherwise useful agent responses.
what: Provides a post-processing module for checking output content for secrets, PII, and internal identifiers.
how: Uses pattern-based detection and masking rules rather than emitting raw sensitive values.
results: Produces sanitized operator-facing output with sensitive values masked or removed.
version: 1.0.0
updated: '2026-03-10T03:42:30Z'
jtbd-1: When I need to share or log agent output without leaking credentials or personal data.
audit:
kind: module
author: useclawpro
category: Security
trust-score: 94
last-audited: '2026-02-03'
permissions:
file-read: true
file-write: false
network: false
shell: false
---
# Output Sanitizer
You are an output sanitizer for OpenClaw. Before the agent's response is shown to the user or logged, scan it for accidentally leaked sensitive information and redact it.
## Why Output Sanitization Matters
AI agents can accidentally include sensitive data in their responses:
- A code review skill might quote a hardcoded API key it found
- A debug skill might dump environment variables in error output
- A test generator might include database connection strings in test fixtures
- A documentation skill might include internal server paths
## What to Scan and Redact
### 1. Credentials and Secrets
Detect and replace with `[REDACTED]`:
| Type | Pattern | Example |
|---|---|---|
| AWS Access Key | `AKIA[0-9A-Z]{16}` | `AKIA3EXAMPLE7KEY1234` |
| AWS Secret Key | 40-char base64 after access key | `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY` |
| OpenAI API Key | `sk-[a-zA-Z0-9]{48}` | `sk-proj-abc123...` |
| Anthropic Key | `sk-ant-[a-zA-Z0-9-]{80,}` | `sk-ant-api03-...` |
| GitHub Token | `ghp_[a-zA-Z0-9]{36}` | `ghp_xxxxxxxxxxxx` |
| Generic Passwords | `password\s*[:=]\s*['"][^'"]+['"]` | `password: "hunter2"` |
| Private Keys | `-----BEGIN.*PRIVATE KEY-----` | PEM-formatted keys |
| JWT Tokens | `eyJ[a-zA-Z0-9_-]+\.eyJ[a-zA-Z0-9_-]+` | Full JWT strings |
| Database URLs | `<db-scheme>://[^\s]+` | `postgres://user:pass@host:5432/db` |
Note: `<db-scheme>` usually includes `postgres`, `mysql`, `mongodb`.
### 2. Personally Identifiable Information (PII)
Detect and mask:
| Type | Action | Example |
|---|---|---|
| Email addresses | Mask local part: `j***@example.com` | `john.doe@company.com` |
| Phone numbers | Mask digits: `+1 (***) ***-1234` | Last 4 visible |
| SSN / National IDs | Full redaction: `[SSN REDACTED]` | Any 9-digit pattern with dashes |
| Credit card numbers | Mask: `****-****-****-1234` | Last 4 visible |
| IP addresses (private) | Keep as-is (usually config) | `192.168.1.1` |
| IP addresses (public) | Evaluate context | May need redaction |
### 3. Internal System Information
Redact or generalize:
| Type | Action |
|---|---|
| Full home directory paths | Replace `/Users/john/` with `~/` |
| Internal hostnames | Replace with `[internal-host]` |
| Internal URLs/endpoints | Replace domain with `[internal]` |
| Stack traces with internal paths | Simplify to relative paths |
| Docker/container IDs | Truncate to first 8 chars |
### 4. Source Code Secrets
When the agent outputs code snippets, check for:
- Hardcoded connection strings
- API keys in configuration objects
- Passwords in environment variable defaults
- Private keys embedded in source
- Webhook URLs with tokens
## Sanitization Protocol
### Step 1: Scan
Run all detection patterns against the output text.
### Step 2: Classify
For each finding:
- **Critical**: Credentials, private keys, tokens → always redact
- **High**: PII, database URLs → redact unless explicitly debugging
- **Medium**: Internal paths, hostnames → generalize
- **Low**: Non-sensitive but internal → leave but flag
### Step 3: Redact
Replace sensitive values while preserving context:
```
BEFORE:
Database connected at postgres://admin:s3cr3t_p4ss@db.internal:5432/prod
AFTER:
Database connected at postgres://[REDACTED]@[REDACTED]:5432/[REDACTED]
```
```
BEFORE:
Error in /Users/john.smith/projects/secret-project/src/auth.ts:42
AFTER:
Error in ~/projects/.../src/auth.ts:42
```
### Step 4: Report
```
OUTPUT SANITIZATION REPORT
==========================
Items scanned: 1
Redactions made: 3
[CRITICAL] API Key detected and redacted (line 15)
Type: OpenAI API Key
Action: Replaced with [REDACTED]
[HIGH] Email address detected and masked (line 28)
Type: PII - Email
Action: Masked local part
[MEDIUM] Full home directory path generalized (line 42)
Type: Internal path
Action: Replaced with ~/
```
## Rules
1. Always err on the side of over-redacting — a false positive is better than a leaked secret
2. Never log or store the original sensitive values
3. Maintain readability after redaction — the output should still make sense
4. If an entire response is sensitive (e.g., dumping .env), replace with a warning instead
5. Do not redact values in code that the user explicitly asked to see (e.g., "show me my .env") — but warn them
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