Is ponytail-gain safe to install?

No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.

How was this score calculated?

Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.

Is this report current?

It was made from commit 6f1c2bf on 2026-10-16. If the skill has changed since, paste the new version into the scanner for a fresh score.

I wrote this skill. Can I fix the score or have the page removed?

Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.

Scan reports · DietrichGebert/ponytail

ponytail-gain: scan report

Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display. An automated scan of this public skill from DietrichGebert/ponytail: security, token cost, spec and clarity, with every finding and its fix.

Result

Verdict

ponytail-gain

81/100 · grade B

DietrichGebert/ponytail/.openclaw/skills/ponytail-gain at 6f1c2bf

Spec 21 · Efficiency 13 · Clarity 22 · Security 25 (each out of 25)

Always loaded 38 tokens · on trigger 444 · on demand 0

eff/description-trigger warn · SKILL.mddescription doesn't say *when* to use the skill ("Use when …"). Agents decide from this line alone.
eff/body-light warn · SKILL.mdOnly ~444 tokens of guidance. Add the specifics an agent can't guess: thresholds, checklists, worked examples.
spec/non-portable-keys warn · SKILL.mdNon-spec frontmatter (homepage). claude.ai and the Skills API reject the upload; move them under `metadata` or drop them.
clarity/workflow info · SKILL.mdNo numbered workflow. Ordered steps make agents more reliable than prose.

Where it comes from

Source

Fact	Value
Repository	DietrichGebert/ponytail
Skill folder	.openclaw/skills/ponytail-gain
Stars	165,105
License	MIT
Commit scanned	6f1c2bf
Scanned	2026-10-16
Files	1

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For maintainers

Badge for the README

If you maintain this skill, this badge shows its score and links to this report. Fix findings and the score moves with the next scan.

[![ProSkills scan 81/100](https://proskills.dev/badge?score=81)](https://proskills.dev/reports/dietrichgebert-ponytail-gain)

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FAQ

Questions

Is ponytail-gain safe to install?: No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
How was this score calculated?: Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
Is this report current?: It was made from commit 6f1c2bf on 2026-10-16. If the skill has changed since, paste the new version into the scanner for a fresh score.
I wrote this skill. Can I fix the score or have the page removed?: Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.

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