ponytail

Why this score

Popularity score: 100/100 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 22, 2026 at commit 2ed6c52c9d7e, with Cisco's open-source skill-scanner.

What its code does:

• Reads environment variables and sends network requests with them API clients do this to send your key to the service. Check which service it talks to.
• Runs shell commands Common for dev tools. Read the commands it runs.benchmarks/correctness.js:9, benchmarks/robustness-audit.js:6, scripts/publish-openclaw-skills.js:21 and 4 more
• Runs code it builds while running (eval or exec) Harder to read ahead of time, since the code is assembled while it runs.benchmarks/correctness.js:41, benchmarks/robustness-audit.js:134 and 6 more
• Makes network requestsbenchmarks/agentic/judge.py:70, benchmarks/agentic/tasks.py:538, benchmarks/benchmark-local.py:69 and 3 more
• Includes scripts in hidden folders Folders starting with a dot are easy to miss when you read a repo..opencode/plugins/ponytail-frontmatter.cjs, .opencode/plugins/ponytail.mjs

Web addresses in its code:

• api.anthropic.combenchmarks/agentic/judge.py:70
• api.openai.combenchmarks/model-email.js:17
• ollama.combenchmarks/benchmark-local.py:10
• x.iobenchmarks/robustness-audit.js:105

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.