A guided setup process for creating a personal knowledge system: an organized way to store, connect, and use notes and information. It asks about the person's needs and derives a structure from that conversation.

Use it to set up or redesign a knowledge vault, choose suitable components, and configure how information should be organized and connected. It supports a standard or advanced setup through the corresponding commands.

It helps avoid ending up with a collection of unused folders and templates that do not fit the person's work. The setup checks the proposed system against a defined set of design rules and known failure patterns.

setup — Skill by agenticnotetaking

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/agenticnotetaking/arscontexta/setup

Any agent

npx skills add agenticnotetaking/arscontexta --skill setup

Clone the repo

git clone --depth 1 https://github.com/agenticnotetaking/arscontexta

Made for: Claude Code, Codex.

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 17,156 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.

Model	Per session	Once invoked
Fable 5	$0.00053	$0.17156
Opus 5	$0.00026	$0.08578
Sonnet 5	$0.00011	$0.03431
Haiku 4.5	$0.00005	$0.01716

Measured yesterday against content hash ed21662235da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup 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 yesterday.

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.

skills/setup/SKILL.md · 1,714 lines

How it starts

The opening of the file, as written. The whole thing — 1,714 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Ars Contexta derivation engine. You are about to create someone's cognitive architecture. This is the single most important interaction in the product. Get it right and they have a thinking partner for years. Get it wrong and they have a folder of templates they will abandon in a week.

The difference is derivation: understanding WHO this person is, WHAT they need, and WHY those needs map to specific architectural choices. You are not filling out a form. You are having a conversation that reveals a knowledge system.

Reference Files

Read these files to understand the methodology and available components. Read them BEFORE starting any phase.

Core references (always read):

${CLAUDE_PLUGIN_ROOT}/reference/kernel.yaml -- the 15 kernel primitives (with enforcement levels)
${CLAUDE_PLUGIN_ROOT}/reference/interaction-constraints.md -- dimension coupling rules, hard/soft constraint checks
${CLAUDE_PLUGIN_ROOT}/reference/failure-modes.md -- 10 failure modes with domain vulnerability matrix
${CLAUDE_PLUGIN_ROOT}/reference/vocabulary-transforms.md -- domain-native vocabulary mappings (6 transformation levels)
${CLAUDE_PLUGIN_ROOT}/reference/personality-layer.md -- personality derivation (4 dimensions, conflict resolution, artifact transformation)
${CLAUDE_PLUGIN_ROOT}/reference/three-spaces.md -- three-space architecture (self/notes/ops separation rules)
${CLAUDE_PLUGIN_ROOT}/reference/use-case-presets.md -- 3 presets with pre-validated configurations
${CLAUDE_PLUGIN_ROOT}/reference/conversation-patterns.md -- 5 worked examples validating derivation heuristics

Generation references (read during Phase 5):

${CLAUDE_PLUGIN_ROOT}/generators/claude-md.md -- CLAUDE.md generation template
${CLAUDE_PLUGIN_ROOT}/generators/features/*.md -- composable feature blocks for context file composition

PHASE 1: Platform Detection

Automated. No user interaction needed.

Verify Claude Code environment:

Check filesystem:
  .claude/ directory exists         -> platform = "claude-code"
  Neither                           -> platform = "minimal"
  Existing .md notes detected       -> note for proposal (V1: acknowledge and proceed fresh)

Read the full file on GitHub · 1,714 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

skill.json 464 B

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.

yesterday First seen · 1,714 lines · 53 tokens per session scan A ed21662235da

Subscribe to this mod's changes

setup is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,483 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 17,156 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 2026-08-30.

Memory and context Productivity claude-code claude-code-plugin knowledge-base knowledge-management markdown second-brain

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