CtrlK
BlogDocsLog inGet started
Tessl Logo

pt-maintaining-access

Evaluates whether an attacker could retain foothold and move laterally after initial compromise, within strict authorization limits. Use when testing persistence, session resilience, and detection/response effectiveness during a pen test.

86

1.04x
Quality

80%

Does it follow best practices?

Impact

98%

1.04x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/pt-maintaining-access/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

1%

Maintaining Access Report: Finalize Engagement Documentation

Output template adherence and quality checks

Criteria
Without context
With context

Persistence Simulation section

87%

100%

Lateral Movement Assessment section

100%

100%

Detection and Response section

100%

100%

Cleanup Verification section

100%

100%

Timeline present

100%

100%

Persistence pre-approval stated

100%

100%

Reversibility confirmed

100%

100%

Detection gaps identified

100%

100%

Gaps mapped to improvements

100%

100%

Cleanup artifacts listed

100%

100%

Rollback validation method

100%

100%

96%

11%

Persistence Phase Planning: Healthcare Network Assessment

Persistence permission confirmation and reversibility planning

Criteria
Without context
With context

Permission confirmation first

100%

100%

Allowed mechanisms enumerated

100%

100%

Maximum dwell time specified

50%

100%

Cleanup expectations documented

100%

100%

Reversible techniques only

100%

100%

Low-risk methods for target class

100%

100%

No persistent accounts or backdoors

100%

66%

No scheduled tasks left post-test

100%

100%

Persistence survival validation

0%

100%

Rollback verification step

100%

100%

100%

Lateral Movement Assessment: Manufacturing Operations Network

Lateral movement assessment and detection gap documentation

Criteria
Without context
With context

Trust relationships assessed

100%

100%

Token reuse assessed

100%

100%

Shared credentials assessed

100%

100%

Weak segmentation assessed

100%

100%

Movement described as minimal

100%

100%

Movement described as auditable

100%

100%

Telemetry gaps captured

100%

100%

Containment gaps captured

100%

100%

Cleanup artifacts listed

100%

100%

Rollback validation stated

100%

100%

Detection gaps mapped to improvements

100%

100%

Repository
santosomar/ethical-hacking-agent-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.