libraria — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited libraria (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.
Libraria is a library management SaaS. It helps librarians and archivists organize and track books, journals, and other resources.
Official docs: https://libraria.linkeddata.es/
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Libraria. 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 libraria --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 Libraria 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 |
|---|---|---|
| Delete Document | delete-document | Delete a document from a library |
| Get Document | get-document | Get a document from a library by its ID |
| Add Document | add-document | Add a new document to a library via URL scraping or raw text |
| Query Library | query-library | Query a library and get an AI-powered response based on the documents in your knowledge base |
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 Libraria 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.