agent-runtime-validati…
Plans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static…
Assesses supplied daylight physical-security observations from authorized public vantage points at opaque site and control level. Use when reviewing physical reconnaissance without entering property, tracking people, collecting identifiers, planning approaches, or generating
Claude Code
$ npx -y skills add zero-lab-ai/skills --skill physical-recon --agent claude-code
Codex
$ npx skills add zero-lab-ai/skills --skill physical-recon -a codex -y
Cursor
$ npx skills add zero-lab-ai/skills --skill physical-recon -a cursor -y
Gemini CLI
$ npx skills add zero-lab-ai/skills --skill physical-recon -a gemini-cli -y
GitHub Copilot
$ npx skills add zero-lab-ai/skills --skill physical-recon -a github-copilot -y
OpenCode
$ npx skills add zero-lab-ai/skills --skill physical-recon -a opencode -y
Windsurf
$ npx skills add zero-lab-ai/skills --skill physical-recon -a windsurf -y
name: physical-recon description: "Assesses supplied daylight physical-security observations from authorized public vantage points at opaque site and control level. Use when reviewing physical reconnaissance without entering property, tracking people, collecting identifiers, planning approaches, or generating intrusion methods." allowed-tools: Read Grep Glob
Physical reconnaissance can reveal visible control surfaces and documentation gaps. A defensive assessment records bounded observations without converting them into routes, schedules, identities, or intrusion instructions.
This skill analyzes supplied observation records. It does not direct collection, enter property, follow or contact people, photograph private areas, identify people or vehicles, collect discarded material, operate drones, transmit RF, rank sites or shifts, select approach routes, or design entry, badge-cloning, bypass, concealment, or evasion methods.
1. Record digest-addressed written authority, approving opaque role, valid assessment and observation windows, `public-right-of-way-only` mode, daylight-only observation, opaque identities, bounded retention, and every prohibited method. 2. Inventory opaque sites and public-right-of-way observation points. Bind each point and permitted method to an approved authorization; store no address, coordinate, map, route, tenant, person, vehicle, or schedule. 3. Import supplied evidence with a unique artifact reference, original-origin evidence, class, time, site and point binding, privacy state, disposition, and limitations. 4. Record each field session with its exact authorized site, point, window, daylight visual method, safety receipt, required stop conditions, and explicit false values for target contact, property entry, and material collection. 5. Separate client policy requirements from direct observation. Policy evidence can define expected control design but cannot prove a visible condition; imported OSINT cannot prove one either. 6. Exclude material with unknown site, time, vantage, custody, scope, or privacy status. Public visibility does not repair missing provenance. 7. Record controlled observations as `visible`, `not-observed`, or `indeterminate`. Never use absence: non-observation is not proof that a control does not exist. 8. Derive each site/control assessment from all current policy requirements and direct observations: `consistent`, `potential-variance`, `inconclusive`, or `not-assessed`. Potential variance is a review trigger, not a confirmed vulnerability. 9. Keep one custody record for every artifact-bearing evidence item. Bound retention to the engagement ceiling; require chronological receipts for redaction or destruction. 10. Create defensive handoffs for internal control review, remediation, or a separately authorized assessment. Carry opaque assessment IDs, never routes, targets, or methods. 11. Cover authority, public boundary, provenance, policy baseline, time, privacy, custody, safety, seven physical-control classes, and defensive handoff for every site. Proof must match its class.
relationships; this skill stores no person or behavioral profile.
a separate capability and explicit method-level authority; this skill never supplies them.
custody, retention, and harm constraints still apply.
prevents a defensible physical conclusion.
schedule targeting.
separately authorized capability.
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.
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