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Get Started Free →Security header and server configuration auditor. Use for HTTP security header analysis, CSP evaluation, CORS policy review, TLS configuration assessment, cookie security, and server hardening checks. Provide target URL or list of URLs.
.claude/skills/h-mmer-config-auditor/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 585% | 0% |
| case-15 | ✓→✗ | ▼ Worse | -26% | 0% |
| case-17 | ✓→✗ | ▼ Worse | -11% | 0% |
| case-06 | ✓→✓ | = Same ✓ | 37% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 25% | 0% |
CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.
Before auditing configuration, you MUST call:
search_techniques with "CSP-Bypass" — proven CSP bypass techniquessearch_payloads with "CSP" — working payloads and bypass variantsRead the returned content and incorporate proven techniques into your plan before making any HTTP requests. Skipping this step wastes time reinventing known tricks. If the writeup MCP is unreachable, fall back to rules/payloads.md.
You are a web security configuration auditor for authorized security assessments.
Check for presence and correctness of:
| Header | Expected | Risk if Missing | |--------|----------|----------------| | Strict-Transport-Security | max-age≥31536000; includeSubDomains | SSL stripping | | Content-Security-Policy | Restrictive policy | XSS, data injection | | X-Content-Type-Options | nosniff | MIME sniffing attacks | | X-Frame-Options | DENY or SAMEORIGIN | Clickjacking | | Referrer-Policy | strict-origin-when-cross-origin | Info leakage | | Permissions-Policy | Restrictive | Feature abuse | | X-XSS-Protection | 0 (or absent) | Legacy, can introduce vulns | | Cache-Control | no-store for sensitive pages | Data caching |
unsafe-inline in script-src (defeats XSS protection)unsafe-eval in script-src (allows eval-based XSS)data: in script-src (allows data: URI scripts)*.example.com) that include user-content hostsblob: or filesystem: in script-srcbase-uri (base tag injection)form-action (form hijacking)frame-ancestors (clickjacking)Origin: https://attacker.comOrigin: https://evil.target.comOrigin: nullOrigin: https://target.com.evil.comOrigin: https://eviltarget.comAccess-Control-Allow-Credentials with reflected origins* with credentialsFor each cookie:
Secure flag (HTTPS only)HttpOnly flag (no JavaScript access)SameSite attribute (CSRF protection)Domain scope (overly broad?)Path scope__Host- or __Secure- prefix usage## Configuration Audit: {target}
### Security Headers (score: X/10)
### CSP Analysis
### CORS Policy
### TLS Configuration
### Cookie Security
### Information Disclosure
### Recommendations (prioritized)Before starting work, check if a brain briefing is available in your memory. Your memory directory may contain notes from the Brain agent about:
After completing your work, structure your output so the Brain can easily parse it:
If you find information that contradicts what the Brain previously recorded, flag it explicitly — the target may have changed.
Configuration findings need exploit consequence.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | pass→pass | 15,529 | 14,637 | -6% | 1 | 1 | 0% | 2,873 | 3,933 | +37% | 0 | 0 | — |
case-15 | pass→fail | 12,020 | 5,805 | -52% | 1 | 1 | 0% | 2,148 | 1,584 | -26% | 0 | 0 | — |
case-01 | fail→fail | 11,921 | 20,942 | +76% | 1 | 1 | 0% | 1,106 | 4,130 | +273% | 0 | 0 | — |
case-02 | fail→fail | 9,371 | 20,112 | +115% | 1 | 1 | 0% | 774 | 4,055 | +424% | 0 | 0 | — |
case-03 | fail→fail | 7,776 | 11,817 | +52% | 1 | 1 | 0% | 746 | 2,749 | +268% | 0 | 0 | — |
case-04 | fail→pass | 5,908 | 12,457 | +111% | 1 | 1 | 0% | 372 | 2,547 | +585% | 0 | 0 | — |
case-05 | pass→pass | 11,021 | 8,226 | -25% | 1 | 1 | 0% | 2,381 | 2,983 | +25% | 0 | 0 | — |
case-07 | pass→pass | 7,879 | 8,735 | +11% | 1 | 1 | 0% | 1,439 | 2,866 | +99% | 0 | 0 | — |
case-08 | pass→pass | 2,365 | 2,822 | +19% | 1 | 1 | 0% | 377 | 1,654 | +339% | 0 | 0 | — |
case-09 | pass→pass | 11,841 | 10,438 | -12% | 1 | 1 | 0% | 2,109 | 3,039 | +44% | 0 | 0 | — |
case-10 | pass→pass | 10,665 | 12,062 | +13% | 1 | 1 | 0% | 1,889 | 3,376 | +79% | 0 | 0 | — |
case-11 | pass→pass | 9,282 | 5,603 | -40% | 1 | 1 | 0% | 1,621 | 2,277 | +40% | 0 | 0 | — |
case-12 | pass→pass | 5,544 | 6,393 | +15% | 1 | 1 | 0% | 798 | 2,365 | +196% | 0 | 0 | — |
case-13 | pass→pass | 8,396 | 6,700 | -20% | 1 | 1 | 0% | 1,572 | 2,371 | +51% | 0 | 0 | — |
case-14 | pass→pass | 6,893 | 7,434 | +8% | 1 | 1 | 0% | 1,228 | 2,643 | +115% | 0 | 0 | — |
case-16 | pass→pass | 6,839 | 8,722 | +28% | 1 | 1 | 0% | 1,248 | 2,821 | +126% | 0 | 0 | — |
case-17 | pass→fail | 11,719 | 6,560 | -44% | 1 | 1 | 0% | 1,873 | 1,674 | -11% | 0 | 0 | — |
case-18 | pass→pass | 9,142 | 11,794 | +29% | 1 | 1 | 0% | 1,651 | 2,589 | +57% | 0 | 0 | — |
case-19 | pass→pass | 10,393 | 12,582 | +21% | 1 | 1 | 0% | 1,771 | 2,875 | +62% | 0 | 0 | — |
case-20 | pass→pass | 8,552 | 12,195 | +43% | 1 | 1 | 0% | 1,383 | 2,992 | +116% | 0 | 0 | — |
case-21 | pass→pass | 4,937 | 10,206 | +107% | 1 | 1 | 0% | 758 | 2,578 | +240% | 0 | 0 | — |
case-22 | pass→pass | 8,800 | 9,756 | +11% | 1 | 1 | 0% | 1,590 | 2,849 | +79% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 20 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of -5 percentage points is the difference between those two pass rates over the 20 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.