ssl-proxy-troubleshoot
Systematic workflow for troubleshooting SSL/proxy connectivity issues with government websites
- License 许可
- MIT
- 所属仓库
- HKUDS/AgentPilot
- 最近更新
- 2026-11-12
- Stars
- ★ 8.0k
- Forks
- 941
01 前言 Front Matter
- name
- ssl-proxy-troubleshoot
- description
- Systematic workflow for troubleshooting SSL/proxy connectivity issues with government websites
02 资源文件 1
- 其他.skill_id36 B
03 SKILL.md 正文
SSL/Proxy Troubleshooting for Government Websites
This skill provides a systematic approach to diagnosing and resolving SSL certificate and proxy connectivity issues when accessing government websites, which often have stricter security configurations than commercial sites.
When to Use This Skill
- Cannot access a government or institutional website
- SSL certificate validation errors occur
- Proxy configuration blocks or interferes with requests
- Primary data sources are intermittently or persistently inaccessible
Systematic Troubleshooting Workflow
Step 1: Diagnose the Connection Issue
First, identify what type of connectivity problem you're facing:
import requests
import ssl
url = "https://example.gov/data"
# Test basic connectivity
try:
response = requests.get(url, timeout=10)
print(f"Status: {response.status_code}")
except requests.exceptions.SSLError as e:
print(f"SSL Error: {e}")
except requests.exceptions.ProxyError as e:
print(f"Proxy Error: {e}")
except requests.exceptions.ConnectionError as e:
print(f"Connection Error: {e}")
except Exception as e:
print(f"Other Error: {e}")
Step 2: Try Protocol Variations
Government sites sometimes have misconfigured redirects or support only specific protocols:
urls_to_try = [
"https://example.gov/data",
"http://example.gov/data", # Try unencrypted
"https://www.example.gov/data", # Try www subdomain
"http://www.example.gov/data",
]
for url in urls_to_try:
try:
response = requests.get(url, timeout=10, verify=False)
if response.status_code == 200:
print(f"Success with: {url}")
break
except Exception as e:
print(f"Failed {url}: {e}")
Step 3: Disable SSL Verification (Temporary Debug)
Only use this for debugging. If it works, the issue is SSL certificate-related:
# Option A: Disable verification entirely (debug only)
response = requests.get(url, verify=False, timeout=30)
# Option B: Use custom SSL context with relaxed settings
import ssl
ssl_context = ssl.create_default_context()
ssl_context.check_hostname = False
ssl_context.verify_mode = ssl.CERT_NONE
response = requests.get(url, verify=False, timeout=30)
Warning: Never use verify=False in production. If this is the only working option, document the SSL issue and seek alternative data sources.
Step 4: Manipulate Proxy Settings
Government networks often require specific proxy configurations:
# Option A: Disable proxy entirely
session = requests.Session()
session.trust_env = False # Ignore environment proxy settings
response = session.get(url, timeout=30)
# Option B: Explicitly set proxy
proxies = {
"http": "http://proxy.example.com:8080",
"https": "http://proxy.example.com:8080",
}
response = requests.get(url, proxies=proxies, timeout=30, verify=False)
# Option C: Try without any proxy configuration
import os
os.environ.pop("HTTP_PROXY", None)
os.environ.pop("HTTPS_PROXY", None)
os.environ.pop("http_proxy", None)
os.environ.pop("https_proxy", None)
response = requests.get(url, timeout=30)
Step 5: Test Alternative Domains and Endpoints
Government data is often mirrored or available through alternative access points:
# Common alternative patterns for government sites
alternative_urls = [
url.replace(".gov", ".gov.uk"), # Regional variations
url.replace("data.", "api."), # API subdomain
url.replace("https://", "https://archive."), # Archive mirror
url.replace("/data", "/download"), # Alternative path
]
# Check for data.gov or similar portals
portal_search = f"site:data.gov {topic_keyword}"
Step 6: Use Different HTTP Clients
Some clients handle SSL/proxy differently:
# Try urllib instead of requests
import urllib.request
import ssl
ssl_context = ssl._create_unverified_context()
response = urllib.request.urlopen(url, context=ssl_context, timeout=30)
# Try curl via subprocess
import subprocess
result = subprocess.run(
["curl", "-k", "-L", "--max-time", "30", url],
capture_output=True,
text=True
)
Fallback Strategies When Primary Sources Fail
When all troubleshooting attempts fail after 5-10 iterations:
Strategy 1: Search for Alternative Data Sources
# Search for the same data from different sources
search_queries = [
f"{dataset_name} site:epa.gov",
f"{dataset_name} site:data.gov",
f"{dataset_name} state database",
f"{dataset_name} public download",
]
Strategy 2: Check for Archived Versions
# Try Wayback Machine
wayback_url = f"https://web.archive.org/web/*/{original_url}"
# Check for cached versions
# Try Google Cache: http://webcache.googleusercontent.com/search?q=cache:{url}
Strategy 3: Look for API Alternatives
Many government datasets have REST APIs even when web interfaces fail:
# Common API patterns
api_endpoints = [
url.replace("/portal", "/api"),
url + "/api/v1/data",
url + "/rest/data",
]
Strategy 4: Contact or Document
If data is critical and unavailable:
- Document all attempted URLs and error messages
- Note the timeframe of access attempts
- Search for contact information to report the issue
- Consider if the task can proceed with partial or alternative data
Decision Matrix
| Issue Type | Symptom | Recommended Action |
|---|---|---|
| SSL Certificate | SSLError, CERT_VERIFY_FAILED | Try verify=False for debug, then find alternative source |
| Proxy Blocking | ProxyError, Connection refused | Set trust_env=False, try direct connection |
| Timeout | ReadTimeout, ConnectTimeout | Increase timeout, try different client |
| 403/401 Errors | HTTP status errors | Check for required headers, authentication |
| DNS Failure | Name resolution error | Try IP address directly, check alternative domains |
Best Practices
- Limit iterations: After 5-10 failed attempts with different approaches, pivot to fallback strategies
- Log everything: Record which URLs, settings, and methods were tried
- Respect rate limits: Government sites may throttle automated access
- Check robots.txt: Verify automated access is permitted
- Prefer official APIs: More stable than web scraping
- Document SSL issues: If
verify=Falseis required, flag this as a security concern
Example: Complete Troubleshooting Function
def robust_government_request(url, max_attempts=5):
"""Attempt to fetch government URL with multiple fallback strategies."""
strategies = [
{"verify": True, "trust_env": True, "timeout": 30},
{"verify": False, "trust_env": True, "timeout": 30},
{"verify": False, "trust_env": False, "timeout": 30},
{"verify": False, "trust_env": False, "timeout": 60},
]
for i, config in enumerate(strategies[:max_attempts]):
try:
session = requests.Session()
session.trust_env = config["trust_env"]
response = session.get(
url,
verify=config["verify"],
timeout=config["timeout"]
)
if response.status_code == 200:
return response
except Exception as e:
print(f"Attempt {i+1} failed: {e}")
continue
return None # All strategies failed
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