# Dependency Guard — AI Package Safety Check (`blueberry_delicacy/dependency-guard`) Actor Catch the fake, malicious and typosquatted packages your AI told you to install — before they ship. - **URL**: https://apify.com/blueberry\_delicacy/dependency-guard.md - **Developed by:** [Laurent Ferrenti](https://apify.com/blueberry_delicacy) (community) - **Categories:** Developer tools, AI, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Dependency Guard 🛡️ **Catch the fake and malicious packages your AI told you to install.** AI assistants hallucinate package names that don't exist — and attackers register those names with malware ("slopsquatting"). Dependency Guard checks every dependency in your project against real package registries, known-malware advisories, and a maintained list of AI-hallucinated names, then tells you in plain English what's safe and what to delete. ### Who is this for? - **Vibe coders & non-technical builders** — you didn't write it, we'll vet it - **AI coding agents (via MCP)** — verify a package BEFORE you install it - **Bootcamps & learners** — a safety net against copy-paste malware - **Small teams & freelancers** — real checks, no enterprise price ### What you get (per package) Name, whether it actually exists, a 0-100 Risk Score, the reason (hallucinated / malicious / typosquat / suspicious), the closest legit package you probably meant, and a plain-English recommendation. ### It knows the difference that matters A pure-malware package (`lodash-utils`, 2 downloads/week) is flagged **DANGER**. A mainstream package where only one version was ever compromised (`axios`, 110M downloads/week) gets a calm "make sure you're not on the affected version" — not a false alarm. That distinction is the whole product. ### Example Paste your `package.json` → 7 packages checked → `lodash-utils` and `unused-imports` are malware, `expres` is a typo of `express`, the rest are fine. Fix them before you ship. Verdict: DANGER. ### Why this matters in 2026 AI writes ~41% of all code, and slopsquatting is a real, growing supply-chain attack: `huggingface-cli` (an AI hallucination) got 30,000 downloads; `react-codeshift` spread through 237 repos. One bad install = one breach. ### Inputs Paste a `package.json`, `requirements.txt` or `pyproject.toml`, give a list of package names, or point it at a public GitHub repo. npm and PyPI supported. ### MCP-ready Use it from Claude, Cursor or any MCP client: "Before you install anything, check it with Dependency Guard." ### Pricing Pay per scan. A typical project costs a few cents. No subscription. --- ### Need something custom? Need a custom scraper, MCP server or AI agent? We build them. **→ [SLING Studio — get a quote]** # Actor input Schema ## `manifestContent` (type: `string`): Paste a package.json, requirements.txt or pyproject.toml. The format is auto-detected. ## `packages` (type: `array`): Or list package names directly, e.g. ["react", "reqwuests", "express@4.18.0"]. ## `repoUrl` (type: `string`): Or a public GitHub repo URL — its manifest will be fetched automatically. ## `ecosystem` (type: `string`): npm, pypi, or auto-detect. ## `minRisk` (type: `integer`): Only report packages with a risk score at or above this (0-100). Default 40 = only real problems (typosquat, suspicious, hallucinated, malicious). Lower it to include everything checked. ## Actor input object example ```json { "ecosystem": "auto", "minRisk": 40 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("blueberry_delicacy/dependency-guard").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("blueberry_delicacy/dependency-guard").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call blueberry_delicacy/dependency-guard --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blueberry_delicacy/dependency-guard", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dependency Guard — AI Package Safety Check", "description": "Catch the fake, malicious and typosquatted packages your AI told you to install — before they ship.", "version": "0.1", "x-build-id": "Bs8DCIdy4rbuaqeHg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blueberry_delicacy~dependency-guard/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blueberry_delicacy-dependency-guard", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blueberry_delicacy~dependency-guard/runs": { "post": { "operationId": "runs-sync-blueberry_delicacy-dependency-guard", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blueberry_delicacy~dependency-guard/run-sync": { "post": { "operationId": "run-sync-blueberry_delicacy-dependency-guard", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "manifestContent": { "title": "Manifest content", "type": "string", "description": "Paste a package.json, requirements.txt or pyproject.toml. The format is auto-detected." }, "packages": { "title": "Package list", "type": "array", "description": "Or list package names directly, e.g. [\"react\", \"reqwuests\", \"express@4.18.0\"].", "items": { "type": "string" } }, "repoUrl": { "title": "Public repo URL", "type": "string", "description": "Or a public GitHub repo URL — its manifest will be fetched automatically." }, "ecosystem": { "title": "Ecosystem", "enum": [ "auto", "npm", "pypi" ], "type": "string", "description": "npm, pypi, or auto-detect.", "default": "auto" }, "minRisk": { "title": "Minimum risk to report", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only report packages with a risk score at or above this (0-100). Default 40 = only real problems (typosquat, suspicious, hallucinated, malicious). Lower it to include everything checked.", "default": 40 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```