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spec-kit-template: Skill for Claude Code

.github/skills/spec-kit-codebase-scout/SKILL.md

spec-kit-codebase-scout is a skill for Claude Code, Codex from lksnext-ai-lab/spec-kit-template. It costs 0 tokens per session (1,638 once invoked), scanned A, original, Apache-2.0.

Una herramienta de lectura que explora el código existente y crea un mapa técnico de cómo está organizado y cómo funciona. Registra preguntas abiertas cuando no encuentra suficiente evidencia.

In plain words
What is it for?
Sirve para identificar módulos, rutas, servicios y relaciones del código, y documentar esos hallazgos para planificar trabajos posteriores.
Why use it?
Evita diseñar cambios basados en suposiciones sobre el código. Da una referencia concreta para redactar o revisar especificaciones técnicas.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is lksnext-ai-lab/spec-kit-template's own configuration. It tells Claude Code and Codex how to work on spec-kit-template itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything spec-kit-template configures →

not rated 5repo 6mo ago A scan 0 tokens original Apache-2.0
View source ↗ lksnext-ai-lab/spec-kit-template
Reuse

Borrowing it

Nothing to install: this file belongs to lksnext-ai-lab/spec-kit-template. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/lksnext-ai-lab/spec-kit-template/main/.github/skills/spec-kit-codebase-scout/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lksnext-ai-lab/spec-kit-template

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for spec-kit-codebase-scout

README.md
[![agentmods](https://agentmods.dev/badge/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout/github.svg)](https://agentmods.dev/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout)
Your own site
<a href="https://agentmods.dev/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout"><img src="https://agentmods.dev/badge/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout/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.

agentmods 80×15 button for spec-kit-codebase-scout

Your own site · 80×15
<a href="https://agentmods.dev/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout"><img src="https://agentmods.dev/badge/skills/lksnext-ai-lab/spec-kit-template/spec-kit-codebase-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,638 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01638
Opus 5 $0.00000 $0.00819
Sonnet 5 $0.00000 $0.00328
Haiku 4.5 $0.00000 $0.00164

Measured 8d ago against content hash e2c8d0bc44a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

spec-kit-codebase-scout 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 8d 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.

.github/skills/spec-kit-codebase-scout/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: codebase_scout

Objetivo

Explorar codebase/** (solo lectura) para construir/actualizar un mapa técnico as-is útil para el flujo SPEC (plan/write/review), minimizando el riesgo de inventar.

Output principal:

  • docs/spec/_inputs/codebase-map.md

Outputs secundarios (si aplica):

  • docs/spec/95-open-questions.md (OPENQ-### nuevas cuando falte evidencia)
  • Recomendación de Evidence Pack cuando el tema requiera profundidad (evidence_pack).

Principios

  • Read-only: nunca modificar codebase/**.
  • Evidencia primero: afirmaciones técnicas relevantes deben estar sustentadas con rutas concretas.
  • No inventar: si no se confirma, se registra OPENQ.
  • Mapa operativo: síntesis accionable, no enciclopedia.
  • Seguridad: no copiar secretos (tokens, API keys, credenciales, .env reales).

Entradas

  • codebase/** (solo lectura)
  • (Opcional) Pistas del usuario: rutas, módulos, términos, servicios
  • (Opcional) Evidence Packs existentes: docs/spec/_inputs/evidence/

Salidas

  1. docs/spec/_inputs/codebase-map.md (crear/actualizar)
  2. OPENQ-### en docs/spec/95-open-questions.md si hay gaps críticos
  3. (Opcional) “Recomendación EP”: listar qué Evidence Packs conviene generar y por qué

Timeboxing (obligatorio)

Elegir un modo (por defecto: Quick):

Quick scan (15–30 min)

  • Stack + tooling
  • Entry point(s)
  • Estructura de carpetas (alto nivel)
  • 5–10 módulos/capacidades con evidencia mínima
  • Persistencia (BBDD/ORM/migraciones) si se encuentra rápido
  • CI/tests (mención breve)

Deep scan (60–90 min)

Además de lo anterior:

  • Interfaces públicas (punto de definición de rutas o resumen por familias)
  • Jobs/workers/cron/colas (si existen)
  • Logging/observabilidad/config más detallado
  • 10–20 módulos/capacidades con evidencias

Si el timebox se agota:

  • priorizar completar DoD mínimo y abrir OPENQ en lo crítico.

Reglas duras (hard rules)

  1. Prohibido modificar codebase
  2. Evidencia estándar
    • Cada afirmación importante debe incluir EVIDENCE: con rutas codebase/...
    • Si no hay evidencia, no se formula como hecho → OPENQ.
  3. Sin secretos
    • No copiar valores de .env/secrets ni tokens. A lo sumo: “existe .env.example / variable X”.
  4. Confianza
    • No usar “probablemente”. O está confirmado con evidencia, o se formula como OPENQ.
  5. Cambios diff-friendly
    • Actualizar por secciones sin reescrituras masivas.

Read the full file on GitHub · 204 lines

Changes

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.

  1. 8d ago First seen · 204 lines · 0 tokens per session scan A e2c8d0bc44a4

Subscribe to this mod's changes

spec-kit-codebase-scout is a skill published in the GitHub repository lksnext-ai-lab/spec-kit-template (5 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,638 tokens. 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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