BB performing-api-rate-limiting-bypass
Tests API rate limiting for bypass vulnerabilities using Python (requests/aiohttp) and Burp Suite Turbo Intruder to manipulate headers (e.g. X-Forwarded-For spoofing), IPs, HTTP methods, API versions, and encodings, mapping findings to OWASP API4:2023 Unrestricted Resource Consumption. Use when assessing, under written authorization, whether rate limits can be bypassed to enable brute force or resource-exhaustion attacks.
Tests API rate limiting for bypass vulnerabilities using Python (requests/aiohttp) and Burp Suite Turbo Intruder to manipulate headers (e.g. X-Forwarded-For…
As a process B 67/100 · Nearly there — weak spots: running it twice, progress reporting
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
-
low Risky intent
intent-offensive-securityreferences/api-reference.md:57Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- [HackTricks Rate Limit Bypass](https://book.hacktricks.xyz/pentesting-web/rate-limit-bypass)
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "domain" - note
frontmatter-keyunknown frontmatter key "subdomain" - note
frontmatter-keyunknown frontmatter key "nist_csf" - note
frontmatter-keyunknown frontmatter key "mitre_attack"
Process rating: all ten parameters 67/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 5 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4211 tokens
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 1 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 425: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 28 items
- +3Output format is stated explicitly
- +4Has examples (7 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.