extension-http-outcalls — Claude Code skill: HTTP outcalls
A skill for HTTP requests from a backend canister to external APIs. It keeps every request bounded on the provider side.
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a claude-codeWhat extension-http-outcalls does
The skill covers outgoing HTTP requests from a backend canister: GET, HEAD, POST, PUT, DELETE and PATCH. Use it when the backend talks to an external REST API instead of the frontend.
The core rule is that a request must carry a bound the provider enforces — by identifier, pagination, time range, geographic area or result count. Responses are capped at 10 000 entries and 1 MB, with pagination beyond that. The bound has to live in the actual Motoko request, not just in a local test. If the provider cannot enforce one, the skill says to reject the API or narrow the feature.
Inside sits the mo:caffeineai-http-outcalls/outcall.mo module with a generic httpRequest for every method plus backward-compatible httpGetRequest and httpPostRequest helpers. The module caps each request at defaultMaxResponseBytes, which is 1 MB. The check_canister_api_compliance check measures a response against those limits and runs behind the deploy gate, so an endpoint it refuses cannot ship. Locally you compare the call against a 1:1 curl request, and redo that test after Motoko changes.
What it helps with
- call an external REST API from a backend canister
- bound a response by identifier or pagination on the provider side
- check an endpoint against the limits before deploy
- match a Motoko request against a 1:1 curl call
- pick the right bound for a single-entity lookup
Example prompts for the agent
- Add an HTTP outcall from the backend canister to this external API using the skill
- Run check_canister_api_compliance against my endpoint
- Write a GET outcall from the canister with a bounded response
How to install extension-http-outcalls
1Skills CLI (Vercel)
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a claude-code2Manually: put the files in place
~/.claude/skills/extension-http-outcalls/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/extension-http-outcalls/
1Skills CLI (Vercel)
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a codex2Manually: put the files in place
.agents/skills/extension-http-outcalls/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a cursor2Manually: put the files in place
.cursor/skills/extension-http-outcalls/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install caffeinelabs/skills extension-http-outcalls2Manually: put the files in place
.github/skills/extension-http-outcalls/SKILL.md1Skills CLI (Vercel)
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a gemini-cli2Platform CLI
gemini skills install https://github.com/caffeinelabs/skills --path skills/extension-http-outcallsManually: put the files in place
.devin/skills/extension-http-outcalls/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add caffeinelabs/skills --skill extension-http-outcalls -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about extension-http-outcalls
How do I install extension-http-outcalls in Claude?
Run npx skills add caffeinelabs/skills --skill extension-http-outcalls -a claude-code. The skill lands in ~/.claude/skills/extension-http-outcalls/SKILL.md.
What does extension-http-outcalls do?
It spells out the requirements for outgoing HTTP requests from a backend canister to external APIs and ships a module with a bounded request function.
How is it different from extension-http-endpoints?
This skill is about requests going from the canister to the internet. For inbound webhooks and curl endpoints served by the canister, use extension-http-endpoints.
Source text
SKILL.md · Apache-2.0
---
name: extension-http-outcalls
description: >-
HTTP outcalls performed by the backend canister (not in the frontend),
including mandatory local verification of external REST API requests.
Canister → internet only. For inbound webhooks / curl endpoints served by
the canister, use extension-http-endpoints instead.
version: 0.1.11
compatibility:
mops:
caffeineai-http-outcalls: "~0.1.4"
caffeineai-subscription: [none]
---
# HTTP Outcalls
HTTP outcalls extension for [Caffeine AI](https://caffeine.ai?utm_source=caffeine-skill&utm_medium=referral).
## Overview
This skill covers the requirements for HTTP requests from the backend canister,
including GET, HEAD, POST, PUT, DELETE, and PATCH. Use it whenever integrating
with an external API or service.
## Critical requirements
Follow these rules:
- **MUST use a provider-enforced bounded API request.** The request must limit
the response by identifier, pagination, time range, geographic area, result
count, or another server-side bound appropriate to the feature.
Limit each response to both at most 10_000 entries and at most 1 MB, then
paginate if needed.
- **MUST pick the bound that matches the feature.** The five bounds are not
interchangeable. When the feature looks up one entity by something the user
supplies — a flight number, an order id, a ticker, a postcode — the
identifier bound is the only correct choice. Paginating a collection to find
that entity is the anti-pattern, not an alternative: the work still scales
with the whole collection no matter how small each page is. Pagination is for
a list the user deliberately pages through, not for searching.
- **MUST put every bound in the actual Motoko http request.** A bound used only by a
local test does not protect the canister.
- **NEVER fetch an unbounded collection and filter it in the canister.**
Expected response size, typical traffic, or a currently small dataset is not
a bound.
- **MUST reject the API or narrow the feature if the provider cannot enforce a
response bound and supply the required data.** Do not implement a knowingly
unsafe fallback.
- **Test locally against curl implementation.** Ensure the 1:1 curl call succeeds
and returns every field the app consumes. When Motoko code changes, redo the
local curl test.
- **Check the bounds with `check_canister_api_compliance`.** It probes the
endpoint and measures the response against those limits, and it runs behind
the deploy gate, so an endpoint it refuses cannot ship.
The 1 MB and 10_000-entry limits above are the module's own ceilings —
`defaultMaxResponseBytes` is 1 MB — and `check_canister_api_compliance` measures
against exactly those two numbers. It refuses earlier than they do: when the URL
carries no server-side bound, it blocks as soon as the probed response is
already past a quarter of the byte ceiling or past 1_000 entries. That band is
the dangerous one, because it passes a one-off curl and then grows until the
canister exceeds its per-message instruction budget parsing the payload. Design
to the stricter bound: bound the request server-side.
## Choosing the wrong bound
A flight lookup takes a flight number and must return one aircraft. Fetching
`https://opensky-network.org/api/states/all` — every aircraft airborne
worldwide, roughly 10-13k rows — and scanning the parsed result in Motoko for
the one callsign is wrong. The canister downloads and parses every record in
the world to answer a single lookup, and the message is rejected:
`IC0522: Canister exceeded the limit of 40000000000 instructions for single
message execution`. Nothing about the code looks wrong — the URL is valid, the
parse compiles, and a one-off curl returns 200.
That is an instruction limit, not a byte limit. Reaching for a smaller page
size does not help: the canister still walks the whole collection to find one
row.
The provider already offered the right bound. `?icao24=<hex>` on the same
endpoint is the identifier bound: kilobytes, one aircraft, one record to parse.
For the opposite direction — external clients hitting the canister over HTTPS (webhooks, `curl`, bot callbacks) — use [`extension-http-endpoints`](../extension-http-endpoints/SKILL.md).
# Backend
For HTTP outcalls that must be performed in the backend:
The existing module `mo:caffeineai-http-outcalls/outcall.mo` provides a generic
bounded request function for every HTTP method supported by the IC, plus
backward-compatible GET and POST helpers.
```mo:caffeineai-http-outcalls/outcall
module {
public type TransformationInput = {
context : Blob;
response : IC.HttpRequestResult;
};
public type TransformationOutput = IC.HttpRequestResult;
public type Transform = query TransformationInput -> async TransformationOutput;
public type Header = {
name: Text;
value: Text;
};
public type Method = {
#get;
#head;
#post;
#put;
#delete;
#patch;
};
public type Request = {
url : Text;
method : Method;
headers : [Header];
body : ?Blob;
maxResponseBytes : Nat64;
transform : Transform;
};
public type Response = IC.HttpRequestResult;
public let defaultMaxResponseBytes : Nat64;
// Helper function for the transform callback used by the IC on HTTP outcalls.
public func transform(input : TransformationInput) : TransformationOutput;
// Generic bounded request supporting GET, HEAD, POST, PUT, DELETE, and PATCH.
public func httpRequest(request : Request) : async Response;
// HTTP GET request with a transform callback function.
public func httpGetRequest(url : Text, extraHeaders: [Header], transform : Transform) : async Text;
// HTTP POST request, specifying a transform callback.
public func httpPostRequest(url : Text, extraHeaders: [Header], body : Text, transform : Transform) : async Text;
};
```
Use `httpRequest` when the status, headers, a custom response limit, or a method
other than GET or POST is needed. `maxResponseBytes` may set a lower limit; the
module caps every request at `defaultMaxResponseBytes` (1 MB). The module
executes every HTTP outcall with `is_replicated = ?false`; callers cannot enable
replicated execution. The backward-compatible helper stays the shortest path for
a simple GET:
```motoko filepath=src/backend/main.mo
import Text "mo:core/Text";
import OutCall "mo:caffeineai-http-outcalls/outcall";
actor {
public query func transform(input : OutCall.TransformationInput) : async OutCall.TransformationOutput {
OutCall.transform(input);
};
func setItemActive() : async OutCall.Response {
await OutCall.httpRequest({
url = "https://api.example.com/items/123";
method = #patch;
headers = [{ name = "Content-Type"; value = "application/json" }];
body = ?("{\"active\":true}".encodeUtf8());
maxResponseBytes = 100_000;
transform;
});
};
func makeGetOutcall(url : Text) : async Text {
await OutCall.httpGetRequest(url, [], transform);
};
};
```
POST usage through `httpPostRequest` is analogous.
## Verify every external API request
Before considering an HTTP outcall complete, execute the equivalent request
locally with `curl`. Do not rely only on remembered API documentation or on the
Motoko code compiling. Every check below is required. If any check fails, the
HTTP outcall is incomplete and MUST NOT proceed to deployment.
1. **MUST test the exact request implemented in Motoko:** the same HTTP method,
API version, endpoint path, query parameters, headers, and body. Testing a
related endpoint or adding parameters that the implementation does not use
is not valid verification.
2. **MUST trace one representative user input end to end** through every
conversion into the API request, then test the exact resulting request. For
example, if the user enters one identifier but the provider expects another
identifier format, verify that mapping end to end. Calling only the
provider's base or listing endpoint is insufficient.
3. **MUST validate the consumed response contract.** Run the request with
`curl --fail-with-body --silent --show-error`. Verify
the successful status plus every response field and type consumed by the
app. A response that is merely valid JSON is not sufficient.
4. **MUST run `check_canister_api_compliance` on the exact URL and method the
implementation uses.** It measures the response against the outcall byte
ceiling and entry bound and reports whether the URL is bounded server-side,
mechanically and behind the deploy gate, so an outcall to a host it never
cleared cannot ship. When it refuses an endpoint, choose a compatible public
API or narrow the feature honestly; do not implement an unbounded fetch-all
request and filter it in the canister.
Response bounds are that check's job, not curl's. The checks above are the ones
it cannot do for you: it probes the endpoint, not the app, so it never learns
which response fields the app reads or what the user typed to produce the URL.
If the request fails or any check above is unmet, inspect the status and
response body. Check the provider's current official API documentation and
release or migration notes with web search. Confirm the current API version,
endpoint, parameter names and formats, required headers, and request body. Do
not guess around failures. Fix the Motoko request to match the working REST
request and rerun `curl`; repeat until all checks pass, then rerun the backend
checks. Never report completion while any required check is missing or failed.
Typical failure clues: `400` indicates invalid parameters or body shape;
`404`/`410` often indicates an obsolete endpoint or API version; `405`
indicates the wrong method; and `415` indicates the wrong content type. Treat
`429` and `5xx` responses as quota or provider availability issues only after
confirming the request against current official documentation.
© caffeinelabs · Apache-2.0 · caffeinelabs/skills