Borrowing it
Nothing to install: this file belongs to jgiox/goodvibes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jgiox/goodvibes/main/.claude/skills/goodvibes-hygiene/SKILL.mdgit clone --depth 1 https://github.com/jgiox/goodvibesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jgiox/goodvibes/goodvibes-hygiene)<a href="https://agentmods.dev/skills/jgiox/goodvibes/goodvibes-hygiene"><img src="https://agentmods.dev/badge/skills/jgiox/goodvibes/goodvibes-hygiene/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jgiox/goodvibes/goodvibes-hygiene"><img src="https://agentmods.dev/badge/skills/jgiox/goodvibes/goodvibes-hygiene.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00117 | $0.00372 |
| Opus 5 | $0.00059 | $0.00186 |
| Sonnet 5 | $0.00023 | $0.00074 |
| Haiku 4.5 | $0.00012 | $0.00037 |
Grade A, and why
goodvibes-hygiene scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
goodvibes hygiene
Ponytail rules are already always-on in your CLAUDE.md. These commands add explicit on-demand audits.
Setup
Ponytail commands require the ponytail plugin. Install it in Claude Code:
/plugin marketplace add DietrichGebert/ponytail
/plugin install ponytail@ponytail
(Desktop app: Customize → + by personal plugins → Create plugin → Add from repository →
enter https://github.com/DietrichGebert/ponytail)
Commands
/ponytail-review— Review the current diff for over-engineering. One line per finding: location, what to cut, what replaces it./ponytail-audit— Scan the entire repo for unnecessary complexity. Ranked list, biggest cut first.
What the always-on rules already do
Every response already applies the ponytail decision ladder (from your CLAUDE.md): simplest solution that works, stdlib before custom code, deletion before addition. The commands above are for explicit audit reports — use them when you want a structured review, not just session behavior.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 43 lines · 117 tokens per session scan A c06b9882ab81
goodvibes-hygiene is a skill published in the GitHub repository jgiox/goodvibes (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 117 tokens to every session and 372 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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