diffbot — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited diffbot (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.
Diffbot is a web data extraction tool that uses AI to automatically identify and extract structured data from web pages. It's used by developers, data scientists, and businesses who need to gather information like product details, articles, or company information at scale without writing custom scrapers.
Official docs: https://www.diffbot.com/dev/docs/
This skill uses the Membrane CLI to interact with Diffbot. 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/cli@latestmembrane login --tenant --clientName=<agentType>This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete <code>Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Use membrane connection ensure to find or create a connection by app URL or domain:
membrane connection ensure "https://www.diffbot.com/" --jsonThe user completes authentication in the browser. The output contains the new connection id.
This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.
If the returned connection has state: "READY", skip to Step 2.
#### 1b. Wait for the connection to be ready
If the connection is in BUILDING state, poll until it's ready:
npx @membranehq/cli connection get <id> --wait --jsonThe --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
The resulting state tells you what to do next:
clientAction object describes the required action:clientAction.type — the kind of action needed:"connect" — user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections."provide-input" — more information is needed (e.g. which app to connect to).clientAction.description — human-readable explanation of what's needed.clientAction.uiUrl (optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present.clientAction.agentInstructions (optional) — instructions for the AI agent on how to proceed programmatically.After the user completes the action (e.g. authenticates in the browser), poll again with membrane connection get <id> --json to check if the state moved to READY.
error field for details.Search using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --jsonYou should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
| Name | Key | Description |
|---|---|---|
| Process Natural Language | process-natural-language | Analyze text using NLP to extract entities, facts, sentiment, and classify content. |
| Enhance Person | enhance-person | Enrich a person record with data from the Knowledge Graph including employment history and education. |
| Enhance Organization | enhance-organization | Enrich an organization record with data from the Knowledge Graph including company details and employees. |
| Search Knowledge Graph | search-knowledge-graph | Search the Diffbot Knowledge Graph using DQL to find organizations, people, articles, and more. |
| Extract Job Posting | extract-job | Extract job posting details including title, company, location, salary, requirements, and description. |
| Extract Event | extract-event | Extract event details including title, date, time, location, description, and organizer from event pages. |
| Extract List | extract-list | Extract data from list pages like search results, category pages, or any page with a list of items. |
| Extract Discussion | extract-discussion | Extract structured data from discussion forums, comment threads, and review pages. |
| Extract Video | extract-video | Extract video metadata including title, description, duration, embed code, and thumbnail from video pages. |
| Extract Image | extract-image | Extract detailed information from image-heavy pages including image metadata, dimensions, and captions. |
| Extract Product | extract-product | Automatically extract pricing, product specs, images, availability, and reviews from e-commerce product pages. |
| Extract Article | extract-article | Automatically extract clean article text, author, date, images, and other data from news articles and blog posts. |
| Analyze Page | analyze-page | Automatically classify a page and extract data according to its type. |
| Get Account Details | get-account-details | Returns account plan, usage, child tokens, and other account details. |
membrane action run <actionId> --connectionId=CONNECTION_ID --jsonTo pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --jsonThe result is in the output field of the response.
When the available actions don't cover your use case, you can send requests directly to the Diffbot 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.