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.
git clone --depth 1 https://github.com/doncheli/don-cheli-sddWrote 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/commands/doncheli/don-cheli-sdd/donde-estoy)<a href="https://agentmods.dev/commands/doncheli/don-cheli-sdd/donde-estoy"><img src="https://agentmods.dev/badge/commands/doncheli/don-cheli-sdd/donde-estoy/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/commands/doncheli/don-cheli-sdd/donde-estoy"><img src="https://agentmods.dev/badge/commands/doncheli/don-cheli-sdd/donde-estoy.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 | $0.00009 | $0.00222 |
| Opus 5 | $0.00005 | $0.00111 |
| Sonnet 5 | $0.00002 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
donde-estoy 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 6d 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
/dc:donde-estoy
Objetivo
Ejecutar un test rápido de 5 preguntas para verificar que el contexto de trabajo está completo.
Uso
/dc:donde-estoy
Las 5 Preguntas
| # | Pregunta | Fuente |
|---|---|---|
| 1 | ¿Dónde estoy? | estado.md |
| 2 | ¿A dónde voy? | plan.md |
| 3 | ¿Cuál es la meta? | config.yaml |
| 4 | ¿Qué he aprendido? | hallazgos.md |
| 5 | ¿Qué he hecho? | progreso.md |
Interpretación
- ✅ 5/5 → Listo para continuar
- ⚠️ 3-4/5 → Proceder con precaución
- ❌ 0-2/5 → Ejecutar
/dc:iniciar --reparar
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.
- 6d ago First seen · 33 lines · 9 tokens per session scan A 92833a34df54
donde-estoy is a command published in the GitHub repository doncheli/don-cheli-sdd (57 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 222 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
insert-phase
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remove-phase
Remove a future phase from roadmap and renumber subsequent phases.
add-todo
Capture idea or task as todo from current conversation context.
audit-milestone
Audit milestone completion against original intent before archiving.
backlog
Manage backlog items — ideas not ready for active planning. Add, review, promote, or remove.
complete-milestone
Archive completed milestone and prepare for next version.