Practical workflows for developers, AI agents and authorized security work.
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13–18 of 20 skills
Structure an authorized investigation around objectives, evidence preservation and traceable sources.
Expected output: A sourced report with UTC timestamps, evidence hashes and a chain of custody.
Before buying: Use lawful sources and define scope and privacy limits before collecting information.
Organise authorized web, API and cloud checks around surface mapping, authentication and access control.
Expected output: A prioritized checklist and a repeatable smoke-test set.
Before buying: Get written authorization and set testing limits. A checklist is not a complete security assessment.
Turn engagement notes into findings with impact, reproduction steps, evidence and retest status.
Expected output: An executive summary and actionable findings with justified severity vectors.
Before buying: Supply verified evidence. Review redactions and severity before sharing a client report.
Map authorized source-review targets and follow untrusted input through code to the relevant operation.
Expected output: Findings grounded in data flow, with focused testing and patch-review context.
Before buying: Use code you are authorized to assess. Tool matches require human validation.
Classify memory and logic bugs using object lifecycles, trust boundaries and documented case studies.
Expected output: A reasoned classification and impact assessment tied to the observed code path.
Before buying: Bring reproducible evidence; do not treat a suspected primitive as a demonstrated capability.
Map platform protections to the behavior they prevent, with defensive hardening and isolated-lab analysis.
Expected output: A mitigation map that separates observed protections from unverified assumptions.
Before buying: Restrict testing to systems you own or are authorized to assess and isolated labs.
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