Installable skillMIT

SSL/Proxy Debugging Workflow for Government Websites

Systematic debugging workflow for SSL/proxy connectivity issues with government and institutional websites

BY xyliu-csUPDATED Oct 27, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: ssl-proxy-debug-workflow
description: Systematic debugging workflow for SSL/proxy connectivity issues with government and institutional websites
---

# SSL/Proxy Debugging Workflow for Government Websites

This skill provides a systematic approach to troubleshoot and resolve SSL certificate, proxy, and connectivity issues commonly encountered when accessing government and institutional websites.

## Recognizing the Problem

Typical symptoms indicating SSL/proxy issues:
- `requests.exceptions.SSLError` or `certificate verify failed` errors
- Connection timeouts despite the site being publicly accessible
- Proxy authentication failures
- HTTP 403/407 errors on otherwise valid requests
- Mixed success across different access methods (browser works, script fails)

## Systematic Troubleshooting Steps

### Step 1: Verify Basic Connectivity

Before assuming SSL issues, confirm the target is reachable:

```python
import requests
import socket

# Test DNS resolution
try:
    ip = socket.gethostbyname('example.gov')
    print(f"DNS resolved: {ip}")
except Exception as e:
    print(f"DNS failure: {e}")

# Test basic TCP connectivity
try:
    sock = socket.create_connection(('example.gov', 443), timeout=5)
    sock.close()
    print("TCP connection successful")
except Exception as e:
    print(f"TCP failure: {e}")
```

### Step 2: Try Protocol Variations

Test both HTTP and HTTPS, and try without www prefix:

```python
urls_to_try = [
    'https://example.gov',
    'http://example.gov',
    'https://www.example.gov',
    'http://www.example.gov',
    'https://subdomain.example.gov',
]

for url in urls_to_try:
    try:
        response = requests.get(url, timeout=10)
        print(f"SUCCESS: {url} - Status: {response.status_code}")
        break
    except Exception as e:
        print(f"FAILED: {url} - {type(e).__name__}: {e}")
```

### Step 3: Disable SSL Verification (Temporary Debug)

For debugging only - never use in production with sensitive data:

```python
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)

response = requests.get('https://example.gov', verify=False, timeout=10)
print(f"Status: {response.status_code}")
```

### Step 4: Manipulate Proxy Settings

Government networks often require specific proxy configurations:

```python
# Try without proxy
session = requests.Session()
session.trust_env = False  # Ignore system proxy settings
response = session.get('https://example.gov', timeout=10)

# Try with explicit proxy
proxies = {
    'http': 'http://proxy.example.com:8080',
    'https': 'http://proxy.example.com:8080',
}
response = requests.get('https://example.gov', proxies=proxies, timeout=10)

# Try with proxy authentication
proxies = {
    'https': 'http://username:password@proxy.example.com:8080',
}
```

### Step 5: Adjust Request Headers

Some government sites block automated requests:

```python
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
    'Accept-Language': 'en-US,en;q=0.5',
    'Accept-Encoding': 'gzip, deflate',
    'Connection': 'keep-alive',
}
response = requests.get('https://example.gov', headers=headers, timeout=10)
```

### Step 6: Test Alternative Domains/Endpoints

Government data may be available through multiple portals:

```python
# Common alternative patterns
alternative_domains = [
    'data.example.gov',
    'api.example.gov',
    'services.example.gov',
    'example.illinois.gov',  # State-specific
    'www.epa.gov/example',   # Federal parent site
]

# Search for data mirrors
# Check data.gov, state open data portals, etc.
```

### Step 7: Increase Timeouts and Add Retries

Government sites may be slow or rate-limit:

```python
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

session = requests.Session()
retry = Retry(
    total=5,
    backoff_factor=2,
    status_forcelist=[429, 500, 502, 503, 504],
)
adapter = HTTPAdapter(max_retries=retry)
session.mount('https://', adapter)
session.mount('http://', adapter)

response = session.get('https://example.gov', timeout=30)
```

## Fallback Strategies When Primary Source Fails

### Strategy A: Find Alternative Data Sources

```python
# 1. Check federal aggregators
#    - data.gov
#    - epa.gov (for environmental data)
#    - census.gov (for demographic data)

# 2. Check state open data portals
#    - Format: data.{state}.gov or {state}.gov/open-data

# 3. Check county/municipal portals
#    - Often have more accessible APIs

# 4. Search for cached/archived versions
#    - Web Archive (archive.org)
#    - Google Cache
```

### Strategy B: Use Search to Discover Working Endpoints

```python
# Search for the data with specific file types
search_queries = [
    'site:example.gov well data filetype:csv',
    'site:example.gov water quality filetype:json',
    'example.gov API endpoint documentation',
]
```

### Strategy C: Manual Download as Last Resort

If programmatic access consistently fails:
1. Document the exact URL that works in a browser
2. Note any authentication/cookie requirements
3. Consider browser automation (Selenium/Playwright) as fallback
4. Schedule manual data collection if volume permits

## Complete Troubleshooting Function

```python
def debug_government_url(base_url, max_attempts=5):
    """Systematic debugging for government website access."""
    import requests
    import urllib3
    from requests.adapters import HTTPAdapter
    from urllib3.util.retry import Retry
    
    urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
    
    # Generate URL variations
    variations = []
    for proto in ['https', 'http']:
        for prefix in ['', 'www.']:
            variations.append(f"{proto}://{prefix}{base_url}")
    
    # Configure retry session
    session = requests.Session()
    session.trust_env = False  # Bypass system proxy
    retry = Retry(total=3, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    adapter = HTTPAdapter(max_retries=retry)
    session.mount('https://', adapter)
    
    headers = {'User-Agent': 'Mozilla/5.0'}
    
    for url in variations:
        print(f"Trying: {url}")
        try:
            # First attempt: normal
            resp = session.get(url, headers=headers, timeout=15)
            if resp.status_code < 400:
                print(f"SUCCESS (normal): {url}")
                return {'url': url, 'method': 'normal', 'response': resp}
        except Exception as e:
            print(f"  Normal failed: {e}")
        
        try:
            # Second attempt: no SSL verify
            resp = session.get(url, headers=headers, verify=False, timeout=15)
            if resp.status_code < 400:
                print(f"SUCCESS (no-verify): {url}")
                return {'url': url, 'method': 'no-verify', 'response': resp}
        except Exception as e:
            print(f"  No-verify failed: {e}")
    
    return {'error': 'All attempts failed', 'url': base_url}
```

## Best Practices

1. **Never hardcode credentials** - Use environment variables for proxy auth
2. **Log all attempts** - Document which methods succeeded/failed for future reference
3. **Respect rate limits** - Add delays between requests (1-2 seconds minimum)
4. **Check robots.txt** - Verify scraping is permitted
5. **Have exit criteria** - Know when to abandon a source and find alternatives
6. **Cache successful configurations** - Save working URL/method combinations

## When to Give Up

After exhausting these steps, consider:
- The data may no longer be publicly available
- The site may require special authentication (contact the agency)
- Alternative sources may have the same data in more accessible format
- The task scope may need adjustment based on data availability
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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.