Skill profile

ponytail

External agent skill (MIT, github.com/DietrichGebert/ponytail).

What this skill does for you

External agent skill (MIT, github.com/DietrichGebert/ponytail). Forces the laziest solution that actually works: question whether the task needs to exist at all (YAGNI), reuse what is already in the codebase, reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Climb the ladder on every coding task : writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Supports intensity levels: lite, full (default), ultra. Never cut validation, error handling, security, or accessibility.

Quoted from the skill description in the pinned source

Who made it

Publisherdiegosouzapw

Repositoryomniroute

Installs423as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ponytail skill from diegosouzapw/omniroute.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: ae2ba35852d4e5a55486a1c0e6a779105564fd6d. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: ae2ba35852d4e5a55486a1c0e6a779105564fd6d. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: ae2ba35852d4e5a55486a1c0e6a779105564fd6d. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/diegosouzapw/omniroute
Pinned skill file: View source at revision
Revision: ae2ba35852d4e5a55486a1c0e6a779105564fd6d
Package hash: sha256:37d94535e1349aa4361f4b21c9f505a6140723175a6d69486e6a75108032b6c0
Licence: MIT