Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/fastly/fastly-agent-toolkit/fastlikenpx skills add fastly/fastly-agent-toolkit --skill fastlikegit clone --depth 1 https://github.com/fastly/fastly-agent-toolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fastly/fastly-agent-toolkit/fastlike)<a href="https://agentmods.dev/skills/fastly/fastly-agent-toolkit/fastlike"><img src="https://agentmods.dev/badge/skills/fastly/fastly-agent-toolkit/fastlike.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00171 | $0.02517 |
| Opus 5 | $0.00086 | $0.01259 |
| Sonnet 5 | $0.00034 | $0.00503 |
| Haiku 4.5 | $0.00017 | $0.00252 |
Grade A, and why
fastlike scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trigger and scope
Trigger on: Fastly Compute, Compute@Edge, WASM on Fastly, fastlike, XQD ABI, Compute request lifecycle, 508 loop detection, backend subrequests, body streaming, profiling a local Compute app, embedding a Fastly Compute runtime in Go code, or any question about how Compute platform primitives work internally (caching, KV stores, edge rate limiting, ACLs, geolocation, secret stores, config stores, dictionaries, logging, dynamic backends, request collapsing, async I/O).
Do NOT use for: Fastly VCL (use falco), Fastly CLI/API (use fastly-cli or fastly), Viceroy, CDN comparison, WAF, Terraform, cache purging via API, or Fastly logging/stats configuration.
Fastlike — Local Compute Runtime & Reference
Fastlike is a Go implementation of the Fastly Compute ABI. It runs compiled WebAssembly programs locally, implementing the same 249+ host functions that Fastly's production Compute platform provides: backends, dictionaries, KV stores, caching, geolocation, rate limiting, ACLs, secret stores, and more.
Equally important, the fastlike source code is the most complete programmatic specification of how Fastly Compute works — its ABI implementations document every platform primitive, request lifecycle detail, and data structure as executable code.
Fastlike documentation: https://github.com/avidal/fastlike
Source Code as Compute Reference
When you have access to the fastlike source code locally (default: ~/src/fastlike), use these paths to answer specific Compute questions:
| Question | Read This File | Why |
|---|---|---|
| "How does the request lifecycle work?" | instance.go, xqd_http_downstream.go |
Per-request setup, execution, downstream handling |
| "What ABI functions exist for X?" | xqd_*.go files |
Each file implements a group of related ABI functions |
| "How do backend subrequests work?" | xqd_backend.go, backend.go |
Request sending, dynamic backends, timeouts |
| "How does caching work?" | xqd_cache.go, xqd_http_cache.go, cache.go |
Cache operations, Vary, surrogate keys, request collapsing |
| "How does KV store work?" | xqd_kv_store.go, kv_store.go |
CRUD operations, pagination, generation-based concurrency |
| "How does rate limiting work?" | xqd_erl.go, erl.go |
Rate counters, penalty boxes, threshold checks |
| "How do ACLs work?" | xqd_acl.go, acl.go |
CIDR-based IP filtering, most-specific match |
| "What configuration options exist?" | options.go |
Every With* functional option for the runtime |
| "What error codes can operations return?" | constants.go |
All XQD status codes and error types |
| "How does the profiler work / what does a trace look like?" | profile.go, profile_json.go, docs/profiling.md |
Trace data model, JSON wire format, deep-mode metrics, encoders |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 169 lines · 171 tokens per session scan A 237026cd9cd2
fastlike is a skill published in the GitHub repository fastly/fastly-agent-toolkit (32 stars, last pushed 3d ago), licensed MIT. It adds 171 tokens to every session and 2,517 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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