Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add contactandrewchl-wq/turtle-mcp --skill ponytailgit clone --depth 1 https://github.com/contactandrewchl-wq/turtle-mcpWrote 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/contactandrewchl-wq/turtle-mcp/ponytail)<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/ponytail"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/ponytail/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/contactandrewchl-wq/turtle-mcp/ponytail"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/ponytail.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 | $0.00068 | $0.00496 |
| Opus 5 | $0.00034 | $0.00248 |
| Sonnet 5 | $0.00014 | $0.00099 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade A, and why
ponytail 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 11d 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
Ponytail
Atá la solución corta antes de soltarla larga. Cada vez que vayas a escribir código, bajá por esta escalera y parate en el primer escalón que resuelva el problema.
Escalera de decisión
- ¿Debe existir? Si nadie lo va a usar más de una vez, probablemente no.
- Biblioteca estándar. Si lo trae el lenguaje, usalo. Sin envoltorios.
- Característica nativa del framework. Si el framework ya lo hace, dejalo.
- Una línea. ¿Se resuelve con una expresión? Hacelo.
- Mínimo viable. Lo más simple que funcione para el caso real, no para el imaginado.
Reglas de atajo
-
Si tomás un atajo, comentalo con su ruta de mejora:
// atajo: validar en cliente; mover a backend si se reutiliza -
No introduzcas abstracciones por "futura flexibilidad". Tres usos antes de extraer.
-
No agregues banderas/features/configs por escenarios que aún no pasan.
Niveles
- lite — solo la escalera, sin marcar atajos.
- full — escalera + atajos comentados (por defecto).
- ultra — además, rechazá cualquier abstracción nueva sin tres casos reales.
- off — desactivada.
Cuándo NO aplicar
- Bordes del sistema (entrada de usuario, API pública): ahí sí validás y abstraés.
- Código crítico de seguridad: la simplicidad no justifica saltar verificaciones.
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.
- 11d ago First seen · 52 lines · 68 tokens per session scan A f0d48a2b92e8
ponytail is a skill published in the GitHub repository contactandrewchl-wq/turtle-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 496 once invoked, about $0.0003 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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