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 discovery-intakegit 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/discovery-intake)<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/discovery-intake"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/discovery-intake/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/discovery-intake"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/discovery-intake.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 | $0.00087 | $0.00884 |
| Opus 5 | $0.00044 | $0.00442 |
| Sonnet 5 | $0.00017 | $0.00177 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
discovery-intake 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery — afila la idea antes del SDD
Cuándo usar esta skill
Cuando la persona llega con una idea o pedido sin especificar ("quiero construir X", "necesito un sistema que…") y todavía no hay requisitos claros. Es el paso 0, antes de propose/spec del flujo SDD. Si el pedido ya trae requisitos verificables, omite este paso.
Objetivo
Convertir una idea vaga en un enunciado de problema claro + criterios de éxito verificables + incógnitas abiertas, para que el SDD arranque sobre base sólida. IEEE 29148 exige requisitos no ambiguos y verificables: esta skill produce esa base.
Cómo conducir la entrevista
Pregunta de a dos o tres, no todo junto. Refleja de vuelta lo que entendiste. Cinco ejes:
- Problema y usuario — ¿qué problema se resuelve y para quién? (el dolor, no la solución)
- Éxito — ¿cómo sabremos que quedó bien? (criterios observables o medibles)
- Restricciones — límites reales (tiempo, stack, datos, integraciones, "esto no va")
- Fuera de alcance — qué queda explícitamente afuera (evita el crecimiento del alcance)
- Incógnitas y riesgo — qué es lo más incierto o peligroso
Caza de palabras ambiguas (obligatoria)
Antes de cerrar, revisa el borrador con el detector de Turtle: llama al tool MCP spec_lint (o corre turtle spec-lint) sobre el texto. Por cada término que devuelva —rápido, escalable, fácil, manejar, algunos, "según sea necesario", etc.— exige un número o un criterio observable. No cierres el Discovery con "palabras comadreja" sin concretar.
Ejemplo: "debe ser rápido" → ¿qué latencia objetivo? (p. ej. p95 < 200 ms en el checkout). "manejar los pagos" → ¿qué operaciones exactas? (crear intento, confirmar, reembolsar).
La compuerta
No avances al SDD hasta que se cumplan las tres:
- El problema y el usuario están claros.
- Hay al menos un criterio de éxito verificable.
spec_lintno marca términos ambiguos sin concretar (o los que quedan están listados como incógnitas abiertas explícitas).
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 · 58 lines · 87 tokens per session scan A fa323e5b4686
discovery-intake is a skill published in the GitHub repository contactandrewchl-wq/turtle-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 884 once invoked, about $0.0004 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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