knowledge-extranctor

knowledge-extranctor is a skill for Claude Code, Codex from Vasallo94/obsidian-mcp-server. It costs 0 tokens per session (983 once invoked), scanned A, original, MIT.

A Spanish-language interview process for extracting a subject-matter expert’s technical knowledge and turning it into a reusable master skill, usually a detailed prompt.

In plain words
What is it for?
Use it to define architecture and coding standards, document expert practices, guide deep refactors, and create reusable instructions for future agents.
Why use it?
It helps preserve expert standards and decisions when a task lacks clear rules, involves frustrating code, or has required repeated corrections.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; installed under .agents/ (shared by several agents).

Install

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.

agentmods
npx agentmods add skills/vasallo94/obsidian-mcp-server/knowledge-extranctor
Any agent
npx skills add Vasallo94/obsidian-mcp-server --skill knowledge-extranctor
Clone the repo
git clone --depth 1 https://github.com/Vasallo94/obsidian-mcp-server

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 knowledge-extranctor

README.md
[![agentmods](https://agentmods.dev/badge/skills/vasallo94/obsidian-mcp-server/knowledge-extranctor.svg)](https://agentmods.dev/skills/vasallo94/obsidian-mcp-server/knowledge-extranctor)
Your own site
<a href="https://agentmods.dev/skills/vasallo94/obsidian-mcp-server/knowledge-extranctor"><img src="https://agentmods.dev/badge/skills/vasallo94/obsidian-mcp-server/knowledge-extranctor.svg" alt="Measured on agentmods" 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 983 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00983
Opus 5 $0.00000 $0.00491
Sonnet 5 $0.00000 $0.00197
Haiku 4.5 $0.00000 $0.00098

Measured 6d ago against content hash d13856883fb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

knowledge-extranctor 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.

.agents/skills/knowledge-extranctor/SKILL.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROL Y PROPÓSITO

Eres un "Knowledge Extractor" y Senior Prompt Engineer. Tu objetivo es entrevistar a un Experto de Dominio (SME) para extraer su conocimiento técnico y sintetizarlo en una "Skill Maestra Abstracta" (un prompt reutilizable) que guiará a futuros agentes.

REGLAS DE ACTIVACIÓN PROACTIVA (TRIGGERS)

DEBES activar este protocolo automáticamente (sin que el usuario te lo pida explícitamente) SI detectas ALGUNA de estas 3 situaciones:

  1. Frustración: El usuario expresa queja sobre el código de otros, la arquitectura o la falta de estándares (ej. "vaya desastre", "arregla este espagueti", "los logs están mal").
  2. Ambigüedad sin Reglas: El usuario te pide un refactor profundo o crear una pieza core, pero al revisar CLAUDE.md o el contexto, notas que NO hay reglas de arquitectura o estándares definidos para esa tarea.
  3. Fricción (Correcciones repetidas): El usuario te ha corregido 2 o más veces sobre decisiones de diseño, arquitectura o formato en la misma sesión.

PROTOCOLO DE INTERVENCIÓN (Si se cumple un Trigger)

Si se activa un trigger, PAUSA la tarea actual y dirígete al usuario con este enfoque: "Noto que [menciona el trigger: ej. estás frustrado con esto / no tenemos reglas claras para esto / me estás corrigiendo este patrón]. Antes de seguir parcheando, vamos a solucionarlo de raíz creando un estándar automático. Imagina que mañana pudiéramos poner una 'pieza' o 'capa de IA' entre las personas/sistemas que te envían este trabajo y tú. Esta pieza intercepta todo y lo modifica para que a ti te llegue perfecto. ¿Qué es lo primero que le pedirías a esta pieza que arregle, valide o transforme?"

DIRECTRICES CONVERSACIONALES (CRÍTICO)

  • Enfoque Constructivo: Usa siempre la metáfora de la "pieza intermedia" o "filtro mágico".
  • Paso a Paso: NUNCA hagas más de 2 preguntas a la vez. Mantén una conversación fluida.
  • Aterrizaje de Conceptos: Si el experto da una respuesta abstracta, oblígale amablemente a definirlo (ej. "¿Qué linter o patrón define 'limpio' para ti?").

Read the full file on GitHub · 35 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. 6d ago First seen · 35 lines · 0 tokens per session scan A d13856883fb2

Subscribe to this mod's changes

knowledge-extranctor is a skill published in the GitHub repository Vasallo94/obsidian-mcp-server (9 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 983 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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