mcpField
O
output-sanitizer

output-sanitizer

github.com/useai-proSecurity73474 installsUpdated 33w ago
Repository

About output-sanitizer

output-sanitizer is an OpenClaw skill that checks agent responses before they are shown or logged, redacting sensitive data while preserving readability. It is intended for workflows where outputs may contain credentials, personal information, or internal system details.

Key features

  1. 01Scans credentials and tokens
  2. 02Masks personal information
  3. 03Generalizes internal paths and hosts
  4. 04Redacts secrets in code snippets
  5. 05Produces a sanitization report

Use cases

  1. 01Reviewing code that may expose an API key
  2. 02Filtering debug output containing environment variables
  3. 03Checking generated tests for connection strings

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/useai-pro/openclaw-skills-security --skill output-sanitizer

After installing, type/output-sanitizerin Claude Code to confirm it loaded.

Details

From the project README

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]:

TypePatternExample
AWS Access KeyAKIA[0-9A-Z]{16}AKIA3EXAMPLE7KEY1234
AWS Secret Key40-char base64 after access keywJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
OpenAI API Keysk-[a-zA-Z0-9]{48}sk-proj-abc123...
Anthropic Keysk-ant-[a-zA-Z0-9-]{80,}sk-ant-api03-...
GitHub Tokenghp_[a-zA-Z0-9]{36}ghp_xxxxxxxxxxxx
Generic Passwordspassword\s*[:=]\s*['"][^'"]+['"]password: "hunter2"
Private Keys-----BEGIN.*PRIVATE KEY-----PEM-formatted keys
JWT TokenseyJ[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:

TypeActionExample
Email addressesMask local part: j***@example.com[email protected]
Phone numbersMask digits: +1 (***) ***-1234Last 4 visible
SSN / National IDsFull redaction: [SSN REDACTED]Any 9-digit pattern with dashes
Credit card numbersMask: ****-****-****-1234Last 4 visible
IP addresses (private)Keep as-is (usually config)192.168.1.1
IP addresses (public)Evaluate contextMay need redaction
3. Internal System Information

Redact or generalize:

TypeAction
Full home directory pathsReplace /Users/john/ with ~/
Internal hostnamesReplace with [internal-host]
Internal URLs/endpointsReplace domain with [internal]
Stack traces with internal pathsSimplify to relative paths
Docker/container IDsTruncate 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:[email protected]: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

Comments

Markdown supported