openclaw 网盘下载
OpenClaw

技能详情(站内镜像,无评论)

首页 > 技能库 > Arc Shield

Output sanitization for agent responses - prevents accidental secret leaks

通信与消息

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 832 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :良性

Package:arc-claw-bot/arc-shield

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

Arc Shield is internally consistent with its stated purpose (an output sanitizer) and contains local scripts for regex + entropy-based detection; no disproportionate permissions, credentials, or network activity are requested or embedded.

目的

The skill's name, description, and included scripts (Bash + Python) align with an output-sanitization purpose. Requested runtime (bash, python3) is appropriate. One minor inconsistency: documentation refers to config/patterns.conf as the pattern database but that file is not present in the provided file manifest — the scripts default to loading ../config/patterns.conf, so installation will need that file (docs claim it exists).

说明范围

SKILL.md and examples limit actions to scanning/sanitizing outbound messages, running locally, and integrating as a pre-send hook or wrapper. The instructions do not tell the agent to read unrelated system files or to transmit data to external endpoints. Integration examples do append a local log entry (~/.openclaw/logs/arc-shield-blocks.log) when blocking — this is reasonable and documented.

安装机制

There is no automated install spec (instruction-only install via git clone / manual copy), which is low-risk. The scripts themselves make no external network calls. Note: the documentation and code expect a config/patterns.conf file; that file is referenced but not present in the provided manifest — you'll need to ensure that config is supplied when installing.

证书

The skill requests no environment variables or credentials. It analyzes text passed to it rather than reading secrets from the environment. It does not require unrelated credentials, so the requested environment access is proportionate.

持久

The skill is not force-included (always:false) and does not modify other skills or system components automatically. Integration requires the operator to add a pre-send hook or wrapper, which is a deliberate, user-controlled action. Example hooks log blocked attempts to a local path — this is described in the docs.

综合结论

Arc Shield appears to be a coherent, local output-sanitizer that uses regex and entropy heuristics. Before installing: 1) Verify the config/patterns.conf file is present (docs reference it but it wasn't in the manifest); without it detection may be incomplete. 2) Review scripts (scripts/arc-shield.sh and scripts/output-guard.py) yourself — they operate locally and do not call external network endpoints, but you should confirm there are no edit…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Arc Shield」。简介:Output sanitization for agent responses - prevents accidental secret leaks。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/arc-claw-bot/arc-shield/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: arc-shield
version: 1.0.0
category: security
tags: [security, sanitization, secrets, output-filter, privacy]
requires: [bash, python3]
author: OpenClaw
description: Output sanitization for agent responses - prevents accidental secret leaks
---

# arc-shield

**Output sanitization for agent responses.** Scans ALL outbound messages for leaked secrets, tokens, keys, passwords, and PII before they leave the agent.

⚠️ **This is NOT an input scanner** — `clawdefender` already handles that. This is an **OUTPUT filter** for catching things your agent accidentally includes in its own responses.

## Why You Need This

Agents have access to sensitive data: 1Password vaults, environment variables, config files, wallet keys. Sometimes they accidentally include these in responses when:
- Debugging and showing full command output
- Copying file contents that contain secrets
- Generating code examples with real credentials
- Summarizing logs that include tokens

Arc-shield catches these leaks before they reach Discord, Signal, X, or any external channel.

## What It Detects

### 🔴 CRITICAL (blocks in `--strict` mode)
- **API Keys & Tokens**: 1Password (`ops_*`), GitHub (`ghp_*`), OpenAI (`sk-*`), Stripe, AWS, Bearer tokens
- **Passwords**: Assignments like `password=...` or `passwd: ...`
- **Private Keys**: Ethereum (0x + 64 hex), SSH keys, PGP blocks
- **Wallet Mnemonics**: 12/24 word recovery phrases
- **PII**: Social Security Numbers, credit card numbers
- **Platform Tokens**: Slack, Telegram, Discord

### 🟠 HIGH (warns loudly)
- **High-entropy strings**: Shannon entropy > 4.5 for strings > 16 chars (catches novel secret patterns)
- **Credit cards**: 16-digit card numbers
- **Base64 credentials**: Long base64 strings that look like tokens

### 🟡 WARN (informational)
- **Secret file paths**: `~/.secrets/*`, paths containing "password", "token", "key"
- **Environment variables**: `ENV_VAR=secret_value` exports
- **Database URLs**: Connection strings with credentials

## Installation

```bash
cd ~/.openclaw/workspace/skills
git clone <arc-shield-repo> arc-shield
chmod +x arc-shield/scripts/*.sh arc-shield/scripts/*.py
```

Or download as a skill bundle.

## Usage

### Command-line

```bash
# Scan agent output before sending
agent-response.txt | arc-shield.sh

# Block if critical secrets found (use before external messaging)
echo "Message text" | arc-shield.sh --strict || echo "BLOCKED"

# Redact secrets and return sanitized text
cat response.txt | arc-shield.sh --redact

# Full report
arc-shield.sh --report < conversation.log

# Python version with entropy detection
cat message.txt | output-guard.py --strict
```

### Integration with OpenClaw Agents

#### Pre-send hook (recommended)

Add to your messaging skill or wrapper:

```bash
#!/bin/bash
# send-message.sh wrapper

MESSAGE="$1"
CHANNEL="$2"

# Sanitize output
SANITIZED=$(echo "$MESSAGE" | arc-shield.sh --strict --redact)
EXIT_CODE=$?

if [[ $EXIT_CODE -eq 1 ]]; then
    echo "ERROR: Message contains critical secrets and was blocked." >&2
    exit 1
fi

# Send sanitized message
openclaw message send --channel "$CHANNEL" "$SANITIZED"
```

#### Manual pipe

Before any external message:

```bash
# Generate response
RESPONSE=$(agent-generate-response)

# Sanitize
CLEAN=$(echo "$RESPONSE" | arc-shield.sh --redact)

# Send
signal send "$CLEAN"
```

### Testing

```bash
cd skills/arc-shield/tests
./run-tests.sh
```

Includes test cases for:
- Real leaked patterns (1Password tokens, Instagram passwords, wallet mnemonics)
- False positive prevention (normal URLs, email addresses, file paths)
- Redaction accuracy
- Strict mode blocking

## Configuration

Patterns are defined in `config/patterns.conf`:

```conf
CRITICAL|GitHub PAT|ghp_[a-zA-Z0-9]{36,}
CRITICAL|OpenAI Key|sk-[a-zA-Z0-9]{20,}
WARN|Secret Path|~/.secrets/[^s]*
```

Edit to add custom patterns or adjust severity levels.

## Modes

| Mode | Behavior | Exit Code | Use Case |
|------|----------|-----------|----------|
| Default | Pass through + warnings to stderr | 0 | Development, logging |
| `--strict` | Block on CRITICAL findings | 1 if critical | Production outbound messages |
| `--redact` | Replace secrets with `[REDACTED:TYPE]` | 0 | Safe logging, auditing |
| `--report` | Analysis only, no pass-through | 0 | Auditing conversations |

## Entropy Detection

The Python version (`output-guard.py`) includes Shannon entropy analysis to catch secrets that don't match regex patterns:

```python
# Detects high-entropy strings like:
kJ8nM2pQ5rT9vWxY3zA6bC4dE7fG1hI0  # Novel API key format
Zm9vOmJhcg==                      # Base64 credentials
```

Threshold: **4.5 bits** (configurable with `--entropy-threshold`)

## Performance

- **Bash version**: ~10ms for typical message (< 1KB)
- **Python version**: ~50ms with entropy analysis
- **Zero external dependencies**: bash + Python stdlib only

Fast enough to run on every outbound message without noticeable delay.

## Real-World Catches

From our own agent sessions:

```bash
# 1Password token
"ops_eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."

# Instagram password in debug output
"instagram login: user@example.com / MyInsT@Gr4mP4ss!"

# Wallet mnemonic in file listing
"cat ~/.secrets/wallet-recovery-phrase.txt
abandon ability able about above absent absorb abstract..."

# GitHub PAT in git config
"[remote "origin"]
url = https://ghp_abc123:@github.com/user/repo"
```

All blocked by arc-shield before reaching external channels.

## Best Practices

1. **Always use `--strict` for external messages** (Discord, Signal, X, email)
2. **Use `--redact` for logs** you want to review later
3. **Run tests after adding custom patterns** to check for false positives
4. **Pipe through both** bash and Python versions for maximum coverage:
   ```bash
   message | arc-shield.sh --strict | output-guard.py --strict
   ```
5. **Don't rely on this alone** — educate your agent to avoid including secrets in the first place (see AGENTS.md output sanitization directive)

## Limitations

- **Context-free**: Can't distinguish between "here's my password: X" (bad) and "set your password to X" (instruction)
- **No semantic understanding**: Won't catch "my token is in the previous message"
- **Pattern-based**: New secret formats require pattern updates

Use in combination with agent instructions and careful prompt engineering.

## Integration Example

Full OpenClaw agent integration:

```bash
# In your agent's message wrapper
send_external_message() {
    local message="$1"
    local channel="$2"
    
    # Pre-flight sanitization
    if ! echo "$message" | arc-shield.sh --strict > /dev/null 2>&1; then
        echo "ERROR: Message blocked by arc-shield (contains secrets)" >&2
        return 1
    fi
    
    # Double-check with entropy detection
    if ! echo "$message" | output-guard.py --strict > /dev/null 2>&1; then
        echo "ERROR: High-entropy secret detected" >&2
        return 1
    fi
    
    # Safe to send
    openclaw message send --channel "$channel" "$message"
}
```

## Troubleshooting

**False positives on normal text:**
- Adjust entropy threshold: `output-guard.py --entropy-threshold 5.0`
- Edit `config/patterns.conf` to refine regex patterns
- Add exceptions to the pattern file

**Secrets not detected:**
- Check pattern file for coverage
- Run with `--report` to see what's being scanned
- Test with `tests/run-tests.sh` using your sample
- Consider lowering entropy threshold (but watch for false positives)

**Performance issues:**
- Use bash version only (skip entropy detection)
- Limit input size with `head -c 10000`
- Run in background: `arc-shield.sh --report &`

## Contributing

Add new patterns to `config/patterns.conf` following the format:

```
SEVERITY|Category Name|regex_pattern
```

Test with `tests/run-tests.sh` before deploying.

## License

MIT — use freely, protect your secrets.

---

**Remember**: Arc-shield is your safety net, not your strategy. Train your agent to never include secrets in responses. This tool catches mistakes, not malice.