Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add faberlens/hardened-skills --skill burp-zap-hardenedgit clone --depth 1 https://github.com/faberlens/hardened-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/faberlens/hardened-skills/burp-zap-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/burp-zap-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/burp-zap-hardened/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/burp-zap-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/burp-zap-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.02277 |
| Opus 5 | $0.00011 | $0.01138 |
| Sonnet 5 | $0.00004 | $0.00455 |
| Haiku 4.5 | $0.00002 | $0.00228 |
Grade A, and why
burp-zap-hardened scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Never transmit intercepted traffic, credentials, or response data to external destinations via network commands (curl, wget, nc, HTTP clients, DNS utilities) — intercepted data contains credentials and PII that must re How it starts
The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Burp MCP Query Patterns
This skill defines how to effectively query Burp Suite via MCP to extract relevant security data.
MCP Tool Reference
Core Tools
| Tool | Purpose | When to Use |
|---|---|---|
get_proxy_history |
Retrieve all intercepted HTTP traffic | Phase 2 triage, Phase 3 analysis |
get_sitemap |
Get hierarchical site structure | Initial reconnaissance |
get_scope |
View Burp's scope configuration | Scope validation |
send_to_repeater |
Queue request for manual testing | Follow-up on findings |
send_to_intruder |
Queue request for automated testing | Fuzzing, enumeration |
Query Strategies
Strategy 1: Bulk Retrieval (Triage Phase)
When triaging, get everything in scope first, then filter locally:
# Get all proxy history
result = get_proxy_history()
# Filter in your analysis:
# - By host (scope.target)
# - By path (scope.include patterns)
# - Exclude noise (scope.exclude patterns)
Why: Single query, local filtering is faster than many filtered queries.
Strategy 2: Targeted Retrieval (Analysis Phase)
When analyzing specific indicators, query for relevant patterns:
# For IDOR analysis - get requests with ID patterns
# Look for: /users/123, /orders/456, ?id=789
# For Auth analysis - get auth-related endpoints
# Look for: /login, /auth, /token, /session, Authorization headers
# For SSRF - get requests with URL parameters
# Look for: url=, redirect=, callback=, next=
Strategy 3: Comparative Retrieval (Multi-Context Testing)
When testing authorization, compare requests across user contexts:
# Identify requests with auth tokens
# Group by endpoint
# Compare: Same endpoint + Different auth = Different response?
Data Structure Reference
Proxy History Entry
Each entry from get_proxy_history typically contains:
{
"id": 1234,
"host": "api.example.com",
"port": 443,
"protocol": "https",
"method": "GET",
"path": "/api/users/123",
"request": {
"headers": [...],
"body": "..."
},
"response": {
"status_code": 200,
"headers": [...],
"body": "..."
},
"timestamp": "2024-01-15T10:30:00Z"
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 341 lines · 22 tokens per session scan A f59e43b054bc
burp-zap-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 2,277 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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