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Skill evidence / testing-for-business-logic-vulnerabilities
Skill profile

testing-for-business-logic-vulnerabilities

Manually identifies flaws in application business logic - price manipulation.

What this skill does for you

Manually identifies flaws in application business logic - price manipulation, multi-step workflow bypass, and privilege escalation - by intercepting and modifying requests with Burp Suite, going beyond what automated vulnerability scanners detect. Use for e-commerce checkout/cart flows, voucher and rewards systems, or any assessment where scanners find little but business rules need scrutiny.

Quoted from the skill description in the pinned source

Who made it

Publishermukul975
Installs324as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the testing-for-business-logic-vulnerabilities skill from mukul975/anthropic-cybersecurity-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: 1. Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: 8. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 54a798831d2266a3ca61ce68a7acb80b81160d57. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/mukul975/anthropic-cybersecurity-skills
Pinned skill file
View source at revision
Revision
54a798831d2266a3ca61ce68a7acb80b81160d57
Package hash
sha256:2249bebd8f69e073bcd7b45cb12ce79dcc7a10554a77cce1718b6caed86bc664
Licence
Apache-2.0