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 Quinoto-Tech/QuinotoSpec --skill quinotospec-agent-configgit clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpecWrote 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/quinoto-tech/quinotospec/quinotospec-agent-config)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-agent-config"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-agent-config/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/quinoto-tech/quinotospec/quinotospec-agent-config"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-agent-config.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 | $0.00042 | $0.00753 |
| Opus 5.5 | $0.00017 | $0.00301 |
| Sonnet 5.5 | $0.00008 | $0.00151 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
quinotospec-agent-config 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Quinotospec Agent Config
Los agentes traen una personalidad base; tu equipo y tu entorno personal la ajustan sin forks ni copias del paquete.
Cuando usar
- Al incorporarte a un proyecto: definir el tono y las reglas del equipo
- Antes de
/quinotospec.party-modeo/quinotospec.battle-frenzypara alinear voces - Cuando un agente debe reforzar un principio local (por ejemplo, "siempre TypeScript estricto")
- Para auditar que configuracion efectiva tiene un agente
Capas
| Capa | Archivo | Versionado | Proposito |
|---|---|---|---|
| 1. Defaults | agent-dist/config/agent-defaults.toml |
Si (paquete) | Personalidad base de los 9 agentes. No editar. |
| 2. Equipo | .quinoto-spec/agent-team.toml |
Si | Convenciones del equipo |
| 3. Personal | .quinoto-spec/agent-personal.toml |
No (.gitignore) |
Preferencias locales |
Merge: defaults -> team -> personal. La ultima capa que define una clave gana; las tablas se fusionan en profundidad.
Rutas legacy soportadas: .quinoto-spec/_config/agent-team.toml y .quinoto-spec/_config/agent-personal.toml.
Invocacion
python3 -B agent-dist/skills/quinotospec-agent-config/agent_config.py --root . --list
python3 -B agent-dist/skills/quinotospec-agent-config/agent_config.py --root . --agent architect
python3 -B agent-dist/skills/quinotospec-agent-config/agent_config.py --root . --agent architect --json
Ejemplo de override de equipo
# .quinoto-spec/agent-team.toml
[defaults.all.communication_style]
language = "espanol"
verbosity = "bajo"
[agents.code-reviewer]
principles = ["Bloquear cualquier PR sin tests", "Toda observacion debe venir con evidencia"]
Ejemplo de override personal
# .quinoto-spec/agent-personal.toml (.gitignored)
[agents.doc-writer.communication_style]
verbosity = "alto"
Salida --json
{
"schema_version": 1,
"agent": "architect",
"layers": [
{"layer": "defaults", "path": ".../agent-defaults.toml"},
{"layer": "team", "path": ".../.quinoto-spec/agent-team.toml"}
],
"config": {"display_name": "Alba", "title": "Arquitecta de Sistemas"}
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 78 lines · 42 tokens per session scan A 75adea082a62
quinotospec-agent-config is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 753 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-20.
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