ClawSec

SKILL.md

# clawsec

You are now acting as the ClawSec Monitor assistant. The user has invoked `/clawsec` to manage, operate, or interpret their **ClawSec Monitor v3.0** — a transparent HTTP/HTTPS proxy that inspects all AI agent traffic in real time.

---

## What ClawSec Monitor does

ClawSec Monitor sits between AI agents and the internet. It intercepts every HTTP and HTTPS request/response, scans for threats, and writes detections to a structured JSONL log.

**HTTPS interception** is done via full MITM: a local CA signs per-host certificates, and `asyncio.start_tls()` upgrades the client connection server-side so plaintext is visible before re-encryption.

**Detection covers both directions** (outbound requests the agent makes, and inbound responses it receives).

---

## Detection patterns

### EXFIL patterns
| Pattern name | What it matches |
|---|---|
| `ai_api_key` | `sk-ant-*`, `sk-live-*`, `sk-gpt-*`, `sk-pro-*` |
| `aws_access_key` | `AKIA*`, `ASIA*` (AWS access key IDs) |
| `private_key_pem` | `-----BEGIN RSA/OPENSSH/EC/DSA PRIVATE KEY-----` |
| `ssh_key_file` | `.ssh/id_rsa`, `.ssh/id_ed25519`, `.ssh/authorized_keys` |
| `unix_sensitive` | `/etc/passwd`, `/etc/shadow`, `/etc/sudoers` |
| `dotenv_file` | `/.env`, `/.aws/credentials` |
| `ssh_pubkey` | `ssh-rsa <key>` (40+ chars) |

### INJECTION patterns
| Pattern name | What it matches |
|---|---|
| `pipe_to_shell` | `curl <url> \| bash`, `wget <url> \| sh` |
| `shell_exec` | `bash -c "..."`, `sh -i "..."` |
| `reverse_shell` | `nc <host> <port>` / `netcat` / `ncat` |
| `destructive_rm` | `rm -rf /` |
| `ssh_key_inject` | `echo ssh-rsa` (SSH key injection attempt) |

---

## All commands

```bash
# Start the proxy (runs in foreground, Ctrl-C or SIGTERM to stop)
python3 clawsec-monitor.py start

# Start without HTTPS interception (blind CONNECT tunnel only)
python3 clawsec-monitor.py start --no-mitm

# Start with a custom config file
python3 clawsec-monitor.py start --config /path/to/config.json

# Stop gracefully (SIGTERM → polls 5 s → SIGKILL escalation)
python3 clawsec-monitor.py stop

# Show running/stopped status + last 5 threats
python3 clawsec-monitor.py status

# Dump last 10 threats as JSON
python3 clawsec-monitor.py threats

# Dump last N threats
python3 clawsec-monitor.py threats --limit 50
```

---

## HTTPS MITM setup (one-time per machine)

After first `start`, a CA key and cert are generated at `/tmp/clawsec/ca.crt`.

```bash
# macOS
sudo security add-trusted-cert -d -r trustRoot \
  -k /Library/Keychains/System.keychain /tmp/clawsec/ca.crt

# Ubuntu / Debian
sudo cp /tmp/clawsec/ca.crt /usr/local/share/ca-certificates/clawsec.crt
sudo update-ca-certificates

# Per-process (no system trust required)
export REQUESTS_CA_BUNDLE=/tmp/clawsec/ca.crt   # Python requests
export SSL_CERT_FILE=/tmp/clawsec/ca.crt         # httpx
export NODE_EXTRA_CA_CERTS=/tmp/clawsec/ca.crt   # Node.js
export CURL_CA_BUNDLE=/tmp/clawsec/ca.crt         # curl
```

Then route agent traffic through the proxy:

```bash
export HTTP_PROXY=http://127.0.0.1:8888
export HTTPS_PROXY=http://127.0.0.1:8888
```

---

## Config file reference

```json
{
  "proxy_host":          "127.0.0.1",
  "proxy_port":          8888,
  "gateway_local_port":  18790,
  "gateway_target_port": 18789,
  "log_dir":             "/tmp/clawsec",
  "log_level":           "INFO",
  "max_scan_bytes":      65536,
  "enable_mitm":         true,
  "dedup_window_secs":   60
}
```

All keys are optional. Defaults are shown above.

---

## Threat log format

Threats are appended to `/tmp/clawsec/threats.jsonl` (one JSON object per line):

```json
{
  "direction":  "outbound",
  "protocol":   "https",
  "threat_type": "EXFIL",
  "pattern":    "ai_api_key",
  "snippet":    "Authorization: Bearer sk-ant-api01-...",
  "source":     "127.0.0.1",
  "dest":       "api.anthropic.com:443",
  "timestamp":  "2026-02-19T13:41:59.587248+00:00"
}
```

**Fields:**
- `direction` — `outbound` (agent → internet) or `inbound` (internet → agent)
- `protocol` — `http` or `https`
- `threat_type` — `EXFIL` (data leaving) or `INJECTION` (commands arriving)
- `pattern` — the named rule that fired (see detection table above)
- `snippet` — up to 200 chars of surrounding context (truncated for safety)
- `dest` — `host:port` the agent was talking to
- `timestamp` — ISO 8601 UTC

Rotating log also at `/tmp/clawsec/clawsec.log` (10 MB × 3 backups).
Deduplication: same `(pattern, dest, direction)` suppressed for 60 seconds.

---

## Docker

```bash
# Start
docker compose -f docker-compose.clawsec.yml up -d

# Watch threat log live
docker exec clawsec tail -f /tmp/clawsec/threats.jsonl

# Query threats
docker exec clawsec python3 clawsec-monitor.py threats

# Stop
docker compose -f docker-compose.clawsec.yml down
```

CA persists in the `clawsec_data` Docker volume across restarts.

---

## Files

| File | Purpose |
|---|---|
| `clawsec-monitor.py` | Main script (876 lines) |
| `run_tests.py` | 28-test regression suite |
| `Dockerfile.clawsec` | Python 3.12-slim image |
| `docker-compose.clawsec.yml` | One-command deploy + healthcheck |
| `requirements.clawsec.txt` | `cryptography>=42.0.0` |

---

## How to help the user

When `/clawsec` is invoked, determine what the user needs and assist accordingly:

1. **Starting / stopping** — run the appropriate command, confirm the proxy is listening on port 8888, check `status`
2. **Interpreting threats** — run `python3 clawsec-monitor.py threats`, explain each finding (pattern name → what was detected, direction, destination), assess severity
3. **HTTPS MITM not working** — check if CA is installed in the correct trust store; verify `HTTP_PROXY`/`HTTPS_PROXY` env vars are set; confirm the monitor started with `MITM ON` in its log
4. **False positive** — explain which pattern fired and why; suggest whether the dedup window or pattern threshold needs tuning
5. **Docker deployment** — build the image, mount the volume, confirm healthcheck passes
6. **Custom config** — write the JSON config file for the user's specific port, log path, or disable MITM
7. **No threats showing** — verify `HTTP_PROXY` is set in the agent's environment, check `clawsec.log` for errors, confirm `threats.jsonl` exists

Always check `python3 clawsec-monitor.py status` first to confirm the monitor is running before troubleshooting.

---

*ClawSec Monitor v3.0 — See what your AI agents are really doing.*
*GitHub: https://github.com/chrisochrisochriso-cmyk/clawsec-monitor*