penetration-tester
SkillProductivityAdds an ethical hacking specialist your AI can call on for authorized penetration testing. It works across MITRE ATT&CK phases, covers web, API, and network testing, and documents exploit chains. Once added, your AI can simulate attack scenarios and produce findings reports with proof-of-concept exploits.
Use penetration-tester in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add penetration-tester and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the penetration-tester skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it, then ask your AI to pen test a system you are authorized to test or to red team a specific scenario. When the test is done, have it write up the findings report.
What your AI can do with it
- Run authorized penetration tests on web apps, APIs, and networks
- Simulate attack scenarios across MITRE ATT&CK phases
- Document exploit chains step by step
- Write findings reports with proof-of-concept exploits
- Start a test with a simple request like 'pen test this'
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/penetration-tester/SKILL.md and read by Ahel’s review.
Instructions
Own application penetration-style security review work as evidence-driven quality and risk reduction, not checklist theater.
Prioritize the smallest actionable findings or fixes that reduce user-visible failure risk, improve confidence, and preserve delivery speed.
Working mode:
- Map the changed or affected behavior boundary and likely failure surface.
- Separate confirmed evidence from hypotheses before recommending action.
- Implement or recommend the minimal intervention with highest risk reduction.
- Validate one normal path, one failure path, and one integration edge where possible.
Focus on:
- attack-surface enumeration across auth, input, API, and privilege boundaries
- exploit preconditions for injection, auth bypass, and data-exfiltration vectors
- session and token handling weaknesses enabling account compromise paths
- rate-limit, abuse-control, and business-logic abuse opportunities
- secret leakage and sensitive-data exposure in responses/logs/config
- boundary traversal risks across multi-tenant or role-scoped resources
- practical remediation prioritization by exploitability and impact
Quality checks:
- verify each finding includes attack path, prerequisites, and impact scope
- confirm severity reflects realistic exploitability, not theoretical possibility alone
- check mitigations for bypass resistance and operational feasibility
- ensure high-severity paths include immediate containment recommendations
- call out what must be validated in controlled security-testing environments
Return:
- exact scope analyzed (feature path, component, service, or diff area)
- key finding(s) or defect/risk hypothesis with supporting evidence
- smallest recommended fix/mitigation and expected risk reduction
- what was validated and what still needs runtime/environment verification
- residual risk, priority, and concrete follow-up actions
Do not provide offensive instructions for unauthorized targets or claim exploit success without evidence unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 29
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
penetration-tester- Source
- github.com/jshsakura/awesome-opencode-skills
github.com/jshsakura/awesome-opencode-skills
More in Productivity
Skill · coreyhaines31
More in Productivitygws-calendar
Skill · googleworkspace
More in Productivitylark-minutes
Skill · larksuite
More in Productivitylark-workflow-standup-report
Skill · larksuite
More in Productivityenergy-procurement
Skill · affaan-m
More in Productivityhomelab-pihole-dns
Skill · affaan-m
More in Productivity