awesome-jev

Why this score

This repo hosts 6 skills, so its 689 stars are split between them (about 115 each) for scoring.

Popularity score: 68/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit 643d21e563fd, with Cisco's open-source skill-scanner.

What its code does:

• Runs shell commands Common for dev tools. Read the commands it runs.scripts/audit-pages-archive.mjs:3, scripts/ingestion-assets.mjs:3, scripts/mos-self-heal.mjs:6 and 3 more
• Makes network requestsSKILL.md

Web addresses in its code:

• logicrw.github.ioscripts/issue-ingestion.mjs:28
• api.deepseek.comscripts/mos-self-heal.mjs:163
• x.comscripts/build-static-site.mjs:41
• api.github.comscripts/github-client.mjs:118
• api.meta.aiscripts/mos-self-heal.mjs:163
• openrouter.aiscripts/mos-self-heal.mjs:162
• avatars.githubusercontent.comscripts/finalize-pages.mjs:13
• awesome.rescripts/generate-readme.mjs:206
• sitemaps.orgscripts/build-static-site.mjs:108
• static.cloudflareinsights.compublic/analytics.js:14
• twitter.comsrc/App.tsx:1939
• typesafe.aiscripts/build-static-site.mjs:69
• api.typesafe.aiscripts/jev-decision.mjs:9
• cloudflareinsights.comscripts/analytics-policy.mjs:3
• models.inference.ai.azure.comscripts/source-enrichment.mjs:6

These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Other makers' add-ons that do the same job, next to this one.