apiary — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited apiary (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Apiary is a collaborative API design and documentation platform. It allows developers to design, prototype, and test APIs using the API Blueprint language. It's used by teams to streamline the API development process and create consistent, well-documented APIs.
Official docs: https://developers.readme.com/
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Apiary. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/climembrane login --tenantA browser window opens for authentication.
Headless environments: Run the command, copy the printed URL for the user to open in a browser, then complete with membrane login complete <code>.
membrane search apiary --elementType=connector --jsonTake the connector ID from output.items[0].element?.id, then:
membrane connect --connectorId=CONNECTOR_ID --jsonThe user completes authentication in the browser. The output contains the new connection id.
When you are not sure if connection already exists:
membrane connection list --jsonIf a Apiary connection exists, note its connectionId
When you know what you want to do but not the exact action ID:
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --jsonThis will return action objects with id and inputSchema in it, so you will know how to run it.
| Name | Key | Description |
|---|---|---|
| Set Styleguide Assertions | set-styleguide-assertions | |
| Fetch Styleguide Assertions | fetch-styleguide-assertions | |
| Publish API Blueprint | publish-api-blueprint | |
| Get API Blueprint | get-api-blueprint | |
| List APIs | list-apis |
membrane action run --connectionId=CONNECTION_ID ACTION_ID --jsonTo pass JSON parameters:
membrane action run --connectionId=CONNECTION_ID ACTION_ID --json --input "{ \"key\": \"value\" }"When the available actions don't cover your use case, you can send requests directly to the Apiary API through Membrane's proxy. Membrane automatically appends the base URL to the path you provide and injects the correct authentication headers — including transparent credential refresh if they expire.
membrane request CONNECTION_ID /path/to/endpointCommon options:
| Flag | Description |
|---|---|
-X, --method | HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
-H, --header | Add a request header (repeatable), e.g. -H "Accept: application/json" |
-d, --data | Request body (string) |
--json | Shorthand to send a JSON body and set Content-Type: application/json |
--rawData | Send the body as-is without any processing |
--query | Query-string parameter (repeatable), e.g. --query "limit=10" |
--pathParam | Path parameter (repeatable), e.g. --pathParam "id=123" |
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.