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fastly-cli

Skill from fastly/fastly-agent-toolkit

Other No risky patterns found curated

Install

npx skills add fastly/fastly-agent-toolkit --skill fastly-cli

Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.

As a Claude Code plugin

/plugin marketplace add anthropics/claude-plugins-official /plugin install fastly-agent-toolkit@fastly-agent-toolkit

This skill is part of the plugin “fastly-agent-toolkit”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.

What does the fastly-cli skill do?

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.

Description from the SKILL.md in the source repository.

Questions about fastly-cli

What does the fastly-cli skill do?

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.

How do I install fastly-cli?

In a terminal: npx skills add fastly/fastly-agent-toolkit --skill fastly-cli. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.

Which agents can use fastly-cli?

Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.

Is fastly-cli safe to use?

Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.

More skills from fastly/fastly-agent-toolkit

falco
fastly/fastly-agent-toolkit

Lints, tests, simulates, and formats Fastly VCL code using the falco tool. Also serves as the authoritative VCL reference via the falco Go source, which implements Fastly's full VCL dialect. Use when validating VCL syntax, running VCL linting, testing VCL locally, simulating VCL request handling, formatting VCL files, writing VCL unit tests with assertions, debugging VCL logic errors, looking up VCL function signatures or variable scopes, understanding VCL subroutine behavior, or running `falco lint`/`falco simulate`/`falco test`/`falco fmt`. Also applies when working with VCL syntax errors, type mismatches in VCL, choosing which VCL subroutine to use, or setting up a local VCL development and testing environment.

Testing & QA curated
No risky patterns found
fastlike
fastly/fastly-agent-toolkit

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.

Development curated
No risky patterns found
fastly-fiddle
fastly/fastly-agent-toolkit

Use when testing VCL against real Fastly edge infrastructure, writing assertion-based Fiddle tests, producing shareable fiddle URLs for bug reproductions, running VCL integration tests in CI, linting VCL remotely via the Fiddle API, or working with clientFetch/events/originFetches test expressions.

Testing & QA curated
No risky patterns found
fastly-ngwaf
fastly/fastly-agent-toolkit

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), identifying potential login endpoints not covered by NGWAF rules, or comparing attack traffic against blocked traffic to confirm enabled rules are actually blocking.

Security curated
No risky patterns found
fastly-reference-architectures
fastly/fastly-agent-toolkit

Curated GitHub repositories demonstrating working reference architectures on the Fastly platform, from single Compute applications to systems combining multiple Fastly products. Use when designing a new solution on Fastly and a worked example of the target pattern would help, or when implementing and a concrete assembled reference would clarify the shape of the code. Not for documentation of how a specific Fastly tool or API works on its own — see the tool-specific skills for that.

Development curated
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fastly-stats
fastly/fastly-agent-toolkit

Fastly traffic numbers: cache hit ratio, bandwidth, request counts, status-code and error rates, edge vs origin traffic, real-time requests-per-second, origin latency, per-domain traffic, account usage and billing totals. Owns the `fastly stats` CLI commands and the Historical Stats, Real-Time and Origin/Domain Inspector HTTP APIs. Use for any question that needs a number about how a Fastly service is performing or how much it is being used.

Development curated
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fastly
fastly/fastly-agent-toolkit

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. Read the relevant reference file before writing any Fastly API call or curl command — request field names (e.g. the backend fields override_host, ssl_cert_hostname, ssl_sni_hostname, use_ssl) are easy to misremember, and a wrong name causes a silent 503 instead of an error, so do not rely on training-knowledge field names.

Development curated
No risky patterns found
viceroy
fastly/fastly-agent-toolkit

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 curated
No risky patterns found

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