# GitHub Repo Trust Scanner — OSS Risk Report (`wiggly_book/github-repo-report`) Actor Surface-level trust and maintenance report for public GitHub repositories: activity, license, SECURITY.md, releases, dependency files, contributor concentration, and risky README install patterns. - **URL**: https://apify.com/wiggly\_book/github-repo-report.md - **Developed by:** [Mack](https://apify.com/wiggly_book) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $30.00 / 1,000 repository scanneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## GitHub Repo Trust Scanner — OSS Risk Report Surface-level due diligence for public GitHub repositories before you install, depend on, recommend, or show them to a client. This actor is for developers, AI/vibe-coding builders, agencies, security consultants, and researchers who need a quick structured answer to: **"does this repo look maintained and safe enough to inspect further?"** It is not a full code audit or vulnerability scanner. It gathers public GitHub evidence and returns a conservative trust/risk summary. ### What it checks For each repository, the actor returns: - Trust score and plain-English verdict - Recent activity: last push/update age - Archived/disabled/fork status - Stars, forks, watchers, open issues - License detected by GitHub - `SECURITY.md` in common locations - Latest GitHub release age - Common dependency/build files such as `package.json`, `requirements.txt`, `go.mod`, `Cargo.toml`, `Dockerfile`, Dependabot config, and CI workflow - README install signals, including risky `curl | sh` / `wget | bash` style patterns - Top-contributor concentration snapshot - Evidence and limitations for manual review ### Example input ```json { "repos": [ "https://github.com/psf/requests", "python/cpython" ], "maxRepos": 25 } ```` ### Example output fields ```json { "full_name": "psf/requests", "trust_score": 82, "verdict": "low visible risk", "risk_flags": ["no SECURITY.md found in common locations"], "positive_signals": ["recent activity: last push 12 days ago", "license detected: Apache-2.0"], "repo_metadata": {"stars": 53000, "forks": 9400, "pushed_at": "..."}, "evidence": {"dependency_files_found": ["requirements.txt", "pyproject.toml"]} } ``` ### Pricing Charged per valid repository scanned: **$0.03 / repo**. ### Limitations - Surface-level public metadata check only. - Not a code audit, malware scan, exploit scan, or legal opinion. - Uses unauthenticated public GitHub APIs and raw files, so very large batches can hit GitHub rate limits. - Risk scoring is heuristic. Treat it as a triage signal, not a final verdict. ### Good uses - Screen open-source repos before adding them to a project. - Compare a shortlist of libraries for maintenance/trust signals. - Add OSS due-diligence rows to an agency/client report. - Build a watchlist of repos that need deeper manual review. # Actor input Schema ## `repos` (type: `array`): GitHub repository URLs or owner/repo names. ## `maxRepos` (type: `integer`): Safety cap for large batches. Unauthenticated GitHub API calls are rate-limited. ## Actor input object example ```json { "repos": [ "https://github.com/psf/requests", "https://github.com/python/cpython" ], "maxRepos": 10 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "repos": [ "https://github.com/psf/requests", "https://github.com/python/cpython" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wiggly_book/github-repo-report").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "repos": [ "https://github.com/psf/requests", "https://github.com/python/cpython", ] } # Run the Actor and wait for it to finish run = client.actor("wiggly_book/github-repo-report").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 '{ "repos": [ "https://github.com/psf/requests", "https://github.com/python/cpython" ] }' | apify call wiggly_book/github-repo-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wiggly_book/github-repo-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Repo Trust Scanner — OSS Risk Report", "description": "Surface-level trust and maintenance report for public GitHub repositories: activity, license, SECURITY.md, releases, dependency files, contributor concentration, and risky README install patterns.", "version": "1.3", "x-build-id": "ThOas3ZETYaOnyGUu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wiggly_book~github-repo-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wiggly_book-github-repo-report", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wiggly_book~github-repo-report/runs": { "post": { "operationId": "runs-sync-wiggly_book-github-repo-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wiggly_book~github-repo-report/run-sync": { "post": { "operationId": "run-sync-wiggly_book-github-repo-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "repos" ], "properties": { "repos": { "title": "GitHub repositories", "type": "array", "description": "GitHub repository URLs or owner/repo names.", "items": { "type": "string" } }, "maxRepos": { "title": "Maximum repos to scan", "minimum": 1, "maximum": 10, "type": "integer", "description": "Safety cap for large batches. Unauthenticated GitHub API calls are rate-limited.", "default": 10 } } }, "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 } } } } } } } } } } ```