skills/fastly-ngwaf/SKILL.md
Performs an internal audit of Fastly Next-Gen WAF (NGWAF) workspaces to audit that critical templated protection rules are configured and enabled. Use when auditing NGWAF workspace security posture, checking for missing or disabled login protection rules (LOGINDISCOVERY, LOGINATTEMPT, LOGINSUCCESS, LOGINFAILURE), auditing credit card validation rules (CC-VAL-ATTEMPT, CC-VAL-FAILURE, CC-VAL-SUCCESS), auditing gift card protection rules (GC-VAL-ATTEMPT, GC-VAL-FAILURE, GC-VAL-SUCCESS), or identifying potential login endpoints not covered by NGWAF rules.
npx skillsauth add fastly/fastly-agent-toolkit fastly-ngwafInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill is designed to be triggered when performing an internal audit of Fastly Next-Gen WAF (NGWAF) workspaces. It is particularly useful for security teams, DevOps engineers, or anyone responsible for managing NGWAF configurations who wants to ensure that critical templated protection rules are properly configured and enabled. The fastly-cli skill should be used to configure rules while this skill is used to identify any gaps in rule configuration or enablement, especially for login protection, credit card validation, and gift card validation rules.
This skill audits Fastly NGWAF workspaces to understand the status of critical templated rules related to:
LOGINDISCOVERY, LOGINATTEMPT, LOGINSUCCESS, and LOGINFAILURE.CC-VAL-ATTEMPT, CC-VAL-FAILURE, and CC-VAL-SUCCESS.GC-VAL-ATTEMPT, GC-VAL-FAILURE, and GC-VAL-SUCCESS.Assume that the user has correctly configured their FASTLY_API_KEY environment variable. Run the assessment script provided in the skill:
# Execute the assessment script
./scripts/assess_ngwaf_rules.sh
development
Runs Fastly Compute WASM applications locally with Viceroy, specifically for Rust and Component Model projects. Use when starting a local Fastly Compute dev server with Viceroy, configuring fastly.toml for local backend overrides and store definitions, running Rust unit tests with cargo-nextest against the Compute runtime, debugging Compute apps locally, adapting core WASM modules to the Component Model, or troubleshooting local Compute testing issues (connection refused, missing backends, store config). For non-Rust Compute work or understanding the Compute API, prefer the fastlike skill instead — its source code is easier to understand as a Fastly Compute API reference.
development
Configures, manages, and debugs the Fastly CDN platform — covering service and backend setup, caching and VCL, security features like DDoS/WAF/NGWAF/rate limiting/bot management, TLS certificates and cache purging, the Compute platform, and the REST API. Use when working with Fastly services or domains, setting up edge caching or origin shielding, configuring security features, making Fastly API calls, enabling products, or looking up Fastly documentation. Also applies when troubleshooting 503 errors or SSL/TLS certificate mismatches on Fastly, and for configuring logging endpoints, load balancing, ACLs, or edge dictionaries.
tools
Executes Fastly CLI commands for managing CDN services, Compute deploys, and edge infrastructure. Use when running `fastly` CLI commands, creating or managing Fastly services from the terminal, deploying Fastly Compute applications, managing backends/domains/VCL snippets via command line, purging cache, configuring log streaming, setting up TLS certificates, managing KV/config/secret stores, checking service stats, authenticating with Fastly SSO, or working with fastly.toml. Also applies when working with Fastly service IDs in CLI context, or with `fastly service`, `fastly compute`, `fastly auth`, or any Fastly CLI subcommand. Covers service CRUD, version management, autocloning, and troubleshooting common CLI errors.
development
Runs Fastly Compute WASM binaries locally and serves as the authoritative reference for Compute platform internals. The fastlike source code is highly readable and covers the host ABI, caching and purging APIs, KV/config/secret store interfaces, rate limiting with counters and penalty boxes, ACL lookups, the full request lifecycle, backend fetch semantics, and a built-in per-request profiler with hostcall spans, backend waterfalls, native CPU samples, and optional deep metrics (body bytes, cache outcomes, header summaries, wasm heap curve). Use when working with Compute runtime internals or host calls, understanding how edge data stores behave at runtime, profiling local Compute apps, or testing WASM binaries locally. Prefer this skill over Viceroy for any non-Rust Compute work — its source code is easier to understand as a Fastly Compute API reference.