Penetration test prep
Skill Amey-Thakur/AI-SKILLS/skills/security/penetration-test-prep
Prepare for a penetration test by fixing scope, rules, and access up front, then turn its findings into tracked, verified remediation. Use when commissioning an external pentest or acting on the report one delivered.From its SKILL.md
npx -y skills add Amey-Thakur/AI-SKILLS --skill penetration-test-prepAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 23 days oldThe repository was created 23 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
3.1 KB, 655 tokens by cl100k_base, as published. Nobody here has run it
Penetration test prep
A pentest is only worth its price if the scope is honest, the rules keep it safe, and the findings actually get fixed and re-tested. The common failures bracket the engagement: a vague scope that wastes days on the wrong assets, a missing rules-of-engagement doc that turns a test into an outage, and a report that lands in a drawer while the same holes stay open.
Method
- Define scope as concrete assets, not adjectives. List exact domains, IP ranges, API base URLs, mobile builds, and account tiers in and out of scope. "Our platform" invites the tester to guess; an explicit inventory plus named exclusions (third-party SaaS you cannot authorize) keeps the effort where it pays.
- Write rules of engagement before anyone connects. Agree on the test window, permitted intensity, whether social engineering and denial-of- service are allowed, a data-handling clause for anything sensitive found, and an emergency stop contact. Get written authorization from the asset owner: testing without it is a crime, not a test.
- Choose the access model deliberately. Decide black-box, gray-box, or white-box, and provision test accounts at each privilege level, staging credentials, and source or API docs accordingly. A gray-box test with real accounts finds authorization flaws a pure black-box run never reaches.
- Test against staging that mirrors production, or plan for production care. Point testers at an environment with production-like config and seeded data, not live customer records. If production is in scope, agree on rate limits and a rollback plan so a payload does not corrupt real data.
- Triage findings by real risk, not the report's raw severity. Re-rate each issue against your exposure and data sensitivity, deduplicate, and assign an owner and a due date proportional to severity. A "medium" on an internet-facing auth endpoint outranks a "high" behind a VPN.
- Remediate, then demand a retest of each fix. Patch, and have the tester or your team verify the specific finding is closed, since a fix that addresses the symptom often leaves the class open. Track every item to closed in the same tracker as normal work.
Litmus tests
- Could the tester list exactly which hosts and accounts are in scope from your brief alone?
- Is there signed authorization and a named emergency-stop contact before the window opens?
- Does each finding have an owner, a due date, and a retest, not just a severity label?
- Are the fixes verified closed rather than marked done on assertion?
Boundaries
This covers commissioning and consuming a pentest, not performing one, and not the continuous scanning and dependency work that should run between tests (see dependency-auditing). A pentest is a point-in-time sample, not proof of security: findings are a floor on your problems, never a ceiling.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.