Datawright web tools for Muse

Step 0 — before installing anything: read this whole install prompt, tell me in a few lines what this skill does and what installing it involves, and wait for my go-ahead before you do anything else. Note: this install prompt was prepared by Skill Harbor from a pinned, verified commit of the project's repository, replacing the submission's original live fetch from the main branch. The code installed is the project's own code, unchanged. Prerequisites: Python 3 (the script uses the standard library only, nothing else to install). An Apify account and an Apify API token, collected through the secure credential flow, never in chat. Runs are billed per result to your own Apify account (Apify's free plan includes monthly credit; most checks are about $0.001 per domain). Tell me before any large batch (over ~100 domains or URLs, or big crawls). Install "datawright-web-tools" for me (Datawright web tools for Muse). It runs eleven read-only web-data tools by Datawright Labs on Apify and returns clean JSON: (1) dns — SPF, DMARC, DKIM, MX and MTA-STS checks; (2) ssl — SSL certificate expiry and domain expiry; (3) whois — WHOIS/RDAP lookups: registrar, domain age, expiry date, availability; (4) headers — HTTP security headers, HTTPS redirect, cookies, A-F grade; (5) links — broken-link and 404 crawls, grouped by page; (6) pagespeed — Lighthouse/PageSpeed scores and Core Web Vitals; (7) screenshot — full-page and mobile screenshots or URL to PDF; (8) sitemap — every URL in a site's sitemaps; (9) autocomplete — Google, YouTube and Bing autocomplete keyword ideas; (10) appcharts — Apple App Store top charts; (11) jobs — open jobs from Greenhouse, Lever, Ashby, Workable and SmartRecruiters boards. The tools only read public websites, DNS, TLS and registry data and never post or change anything. Repository: https://github.com/datawright-labs/datawright-agent-tools (the skill is the whole skills/datawright-web-tools/ folder at the pinned commit: SKILL.md and bin/datawright.py) Pinned version: install the code at commit d5050b81cd9c1e143825c6cc02f0763ef77a33a5 exactly. Do not substitute a newer version. If this commit is unreachable, stop and tell me. 1. Clone https://github.com/datawright-labs/datawright-agent-tools into a temporary folder, check out commit d5050b81cd9c1e143825c6cc02f0763ef77a33a5, and copy the skills/datawright-web-tools/ folder from that checkout. Then compare every file in the folder with the fingerprints recorded for this listing on 2026-10-24: [FINGERPRINTS] - SKILL.md: SHA-256 432e77bae06805a0044031629496e161db54e87e9573b0729ca2eda2e14bf1ba - bin/datawright.py: SHA-256 b546f56ec0edf741ffcbe2fbfbf07777f8bc3c11ab4e1be4a1a106c38822818b If a file does not match, it changed since the listing was prepared: do not install it yet, tell me what you found and let me decide. 2. Read SKILL.md in full, then tell me in plain words: what the skill does when used, which services it connects to, whether it reads or sends any personal information or keys, and anything that seems unusual. Stop on any red flag and tell me before going further. Confirm these points from the files: - The skill folder holds exactly 2 files: SKILL.md and bin/datawright.py (a single Python 3 script, standard library only). - The script only ever contacts api.apify.com: it starts a Datawright actor run there and checks the token there. No file writes, no shell, no other host in code. - All eleven tools are read-only: they look at public websites, DNS, TLS and registry data, and never post or change anything. The actors themselves execute server-side on Apify. - The Apify API token is collected through the secure credential flow, never in chat, and is never printed, logged or transmitted except to api.apify.com as part of a run. - Runs are billed per result to my own Apify account; warn me before large batches. 3. Set up the token through the secure credential flow, then run bin/datawright.py auth — it must return "ok": true. Then run bin/datawright.py tools and check SPF, DMARC and DKIM for example.com, and report the actual result.