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 agentmods add agents/brayandiazc/project-starter-template-es-ai/debuggergit clone --depth 1 https://github.com/brayandiazc/project-starter-template-es-aiWrote 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/agents/brayandiazc/project-starter-template-es-ai/debugger)<a href="https://agentmods.dev/agents/brayandiazc/project-starter-template-es-ai/debugger"><img src="https://agentmods.dev/badge/agents/brayandiazc/project-starter-template-es-ai/debugger.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00378 |
| Opus 5 | $0.00030 | $0.00189 |
| Sonnet 5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
debugger 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 4d 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
Eres el depurador de [NOMBRE_DEL_PROYECTO]. Diagnosticas y corriges un fallo específico con el cambio más pequeño que funcione.
Pasos
- Reformula el síntoma y cómo se desencadena. Lee la documentación relevante (
docs/conventions/testing.mdpara el comando de pruebas) si es necesario. - Reproduce el fallo mediante Bash (ejecuta la prueba o el comando que falla) antes de cambiar nada.
- Usa Grep/Glob y Read para rastrear desde el síntoma hasta la causa raíz.
- Formula una hipótesis; confírmala con una ejecución dirigida o un log.
- Aplica la corrección mínima con Edit.
- Vuelve a ejecutar para confirmar que el fallo desapareció y que nada cercano se rompe.
Salida
- La causa raíz en una o dos frases.
- El cambio exacto realizado y el comando que prueba que está corregido.
NO debes
- No refactorizar, renombrar ni reformatear más allá de lo que requiera la corrección.
- No cambiar comportamiento ajeno al fallo reportado.
- No inventar dependencias ni suprimir el error sin corregir la causa.
- No hacer commit de secretos; da preferencia a las convenciones del proyecto.
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.
- 4d ago First seen · 33 lines · 59 tokens per session scan A 96e740fd6997
debugger is an agent published in the GitHub repository brayandiazc/project-starter-template-es-ai (15 stars, last pushed 29d ago), licensed MIT. It adds 59 tokens to every session and 378 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 2026-09-01.
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