agent-runtime-validati…
Plans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static…
Analyzes and prioritizes Active Directory and BloodHound attack paths using evidence freshness, disabled principals, prerequisites, authorization, operational noise, and remediation coverage. Use during an authorized red-team operation when reviewing AD graphs, nested groups,
Claude Code
$ npx -y skills add zero-lab-ai/skills --skill active-directory-attack-path --agent claude-code
Codex
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a codex -y
Cursor
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a cursor -y
Gemini CLI
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a gemini-cli -y
GitHub Copilot
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a github-copilot -y
OpenCode
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a opencode -y
Windsurf
$ npx skills add zero-lab-ai/skills --skill active-directory-attack-path -a windsurf -y
name: active-directory-attack-path description: "Analyzes and prioritizes Active Directory and BloodHound attack paths using evidence freshness, disabled principals, prerequisites, authorization, operational noise, and remediation coverage. Use during an authorized red-team operation when reviewing AD graphs, nested groups, ACL abuse, delegation, sessions, GPO control, or routes to Tier Zero." allowed-tools: Read Grep Glob
A graph relationship describes possible control. It does not prove current session state, usable credentials, authorized traversal, or the best route for an operation. Keep those claims separate.
1. Confirm the owned starting principals, high-value objectives, allowed evidence reads, allowed traversal actions, and acceptable operational noise. 2. Inventory relevant users, groups, computers, GPOs, domains, and trusts. Record whether user and computer accounts are enabled and when volatile evidence was collected. 3. Normalize group membership, administrative rights, object-control rights, delegation, GPO-derived control, trusts, and session observations as directed edges. Resolve nested membership before declaring an effective path. 4. Give every node and edge an evidence reference and disposition. Current LDAP or security-descriptor evidence can establish a configuration relationship; stale session evidence remains a candidate. 5. Enumerate materially distinct paths from each owned principal to each stated objective. Include blocked branches when they explain why a visually connected graph is not viable. 6. For every edge, record required actions and operational noise. A structurally proven path may still require separate approval for a password reset, host access, credential interaction, authentication, ticket request, or state change. 7. Add remediations that sever every objective path. Prefer the smallest set of relationships or principals that removes the largest amount of reachability. 8. Report graph confidence and execution disposition separately. State that coverage applies to the supplied graph, not necessarily the whole domain.
| Evidence state | Path disposition | | --- | --- | | Current configuration evidence, met prerequisites, and every action authorized | Validation candidate; still not achieved access until executed | | Current configuration evidence but an active transition lacks approval | Structurally proven, approval required | | Stale session or unverified credential availability | Plausible candidate, not a current path | | Disabled principal, unmet prerequisite, explicit deny, or prohibited action | Blocked at the named edge | | Missing graph segment or unknown evidence freshness | Unknown; preserve the gap |
For each objective, report materially distinct paths, the weakest edge in each, required actions, operational signal, authorization state, and the smallest remediation set that severs all reported routes.
authentication path. Preserve both facts.
determine whether it is evidence or only a lead.
that changing the object is authorized or operationally quiet.
impact are separate transitions.
path used to reach that objective.
incomplete, or dependent on disabled principals and unmet prerequisites.
disruptive and detectable than a longer read-only validation route.
credential material can make a valid membership edge operationally useless.
observation are separate claims; session material may be absent or protected.
ticket requests, host access, credential interaction, and policy changes are active actions regardless of intent.
needs an explicit severing control and evidence after remediation.
Portable, evidence-bound security skills for authorized defensive assessment, penetration testing, red teaming, detection engineering, purple teaming, and engagement operations. The collection contains 56 skills in 10 installable plugins from zero-lab.ai.
Plans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static…
Reviews an MCP server's tool surface for tool poisoning, over-broad parameters, missing descriptions, and privilege escalation…
Maps identity, authority, instruction, data, memory, and approval propagation across agents and agent-to-agent handoffs. Use when…
Assesses whether direct, indirect, multi-turn, retrieved, or tool-mediated instructions can override an AI system's intended…
Maps cloud identity and authorization paths across AWS, Azure, GCP, and hybrid trust boundaries, separating proven access from…
Tracks embedded-device and firmware assessment coverage across exact units, acquisition methods, debug interfaces, stored…
Use for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication,…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys)…
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting…