菜单
Use for grounded ad-hoc Zscaler questions about product behavior, policy evaluation, matching semantics, APIs, terminology, coverage boundaries, or tenant observations that do not require a procedural investigation or review.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Answer questions about the Zscaler portfolio — full operational depth (T1, with SDK / TF / OneAPI exposure) on ZIA, ZPA (including AppProtection inline WAF/IPS sub-component and Browser Access), ZCC (Client Connector), ZDX (Digital Experience — T1 borderline, observability layer per 2026-05-04 verification gate), ZIdentity (unified identity + OneAPI authentication + step-up auth), and Cloud & Branch Connector (ZTW/ZTC — VM-based traffic forwarding for cloud workloads and branch offices); programmable-but-shallow (T2) on ZBI (Zero Trust Browser / Cloud Browser Isolation) and ZWA (Workflow Automation — DLP incident lifecycle); plus extended awareness with reasoning docs (T3, portal-only / no SDK) on Deception (decoys/honeypots for post-perimeter detection), Risk360 (cyber risk quantification / Monte Carlo / CISO board reporting), the AI Security family (AI Guard runtime guardrails for LLM prompt-injection / jailbreak / sensitive-data / toxicity / refusal detection plus AI Red Teaming / AI Guardrails / four-pill
Use when setting up or repairing this repo's runtime-data mount (default _data, configurable via the root or a downstream-selected runtime config), including mounting a user-supplied data repository or local directory with local setup config, choosing setup-data-mount mode, verifying the public data contract, or configuring a private work mirror that intentionally tracks runtime data.
Use for read-only editorial, structural, hygiene, drift, reference-quality, diff, and release-readiness audits of this Zscaler skill, its reference corpus, code changes, or supplied tenant configuration when an evidence-backed audit register is required.
Use for evidence-based Zscaler architecture reviews involving capacity, scaling, sizing, topology, growth forecasts, structural risk, resilience, single points of failure, or design recommendations.
Use when expanding or correcting Zscaler reference content from vendor sources, including citation-backed documentation, SDK or provider divergence analysis, source mining, reference drift, and verification passes.
Use for journal-first Zscaler incident retrospectives and postmortems when an existing investigation journal or case directory is available and the task needs a warning ledger, evidence map, lessons, or proceed/stop decision.
| name | zscaler |
| description | Use for grounded ad-hoc Zscaler questions about product behavior, policy evaluation, matching semantics, APIs, terminology, coverage boundaries, or tenant observations that do not require a procedural investigation or review. |
Load and follow ../../../agents/zscaler/workflow.md.
The canonical workflow is the source of truth. This skill is only a portable runtime entrypoint.
