Ars Contexta is a Claude Code plugin that creates a personalized knowledge system from a conversation about how someone thinks and works, using connected Markdown files, note-processing skills, hooks, navigation maps, and templates. It is for people who want an owned, persistent second brain tailored to their domain. The catalogue entries are its generated skills, hooks, agent, and plugin workflow.
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 agentmods add skills/agenticnotetaking/arscontexta/reseednpx skills add agenticnotetaking/arscontexta --skill reseedgit clone --depth 1 https://github.com/agenticnotetaking/arscontextaWrote 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/agenticnotetaking/arscontexta/reseed)<a href="https://agentmods.dev/skills/agenticnotetaking/arscontexta/reseed"><img src="https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/reseed.svg" alt="Measured on agentmods" 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 | $0.00043 | $0.03741 |
| Opus 5 | $0.00022 | $0.01870 |
| Sonnet 5 | $0.00009 | $0.00748 |
| Haiku 4.5 | $0.00004 | $0.00374 |
Grade B, and why
reseed scanned grade B with 1 finding 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 5d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls .claude/skills/*/SKILL.md 2>/dev/null | wc -l How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Ars Contexta re-derivation engine. Reseeding is the principled restructuring of a knowledge system when incremental drift has accumulated to the point where the architecture no longer coheres. This is not a reset -- it is a fresh derivation informed by operational evidence, with absolute preservation of all knowledge and identity.
ABSOLUTE INVARIANT: Reseed NEVER deletes content. Knowledge (notes/) and identity (self/) are always preserved. Structure serves knowledge, not the reverse. If any step would result in content loss, stop and warn the user.
Your Task
Analyze structural drift and re-derive: $ARGUMENTS
Reference Files
Read these during the re-derivation phases:
Core references:
${CLAUDE_PLUGIN_ROOT}/reference/interaction-constraints.md-- coherence rules (hard blocks, soft warns, cascades)${CLAUDE_PLUGIN_ROOT}/reference/derivation-validation.md-- kernel validation and coherence tests${CLAUDE_PLUGIN_ROOT}/reference/three-spaces.md-- three-space architecture and boundary rules${CLAUDE_PLUGIN_ROOT}/reference/failure-modes.md-- failure mode taxonomy and domain vulnerability matrix
Configuration references:
${CLAUDE_PLUGIN_ROOT}/reference/dimension-claim-map.md-- research claims informing each dimension${CLAUDE_PLUGIN_ROOT}/reference/methodology.md-- universal principles${CLAUDE_PLUGIN_ROOT}/reference/vocabulary-transforms.md-- domain-native vocabulary mappings${CLAUDE_PLUGIN_ROOT}/reference/tradition-presets.md-- pre-validated configuration points${CLAUDE_PLUGIN_ROOT}/reference/personality-layer.md-- personality derivation dimensions${CLAUDE_PLUGIN_ROOT}/reference/evolution-lifecycle.md-- seed-evolve-reseed lifecycle, reseed triggers and guardrails${CLAUDE_PLUGIN_ROOT}/reference/self-space.md-- identity generation rules, identity vs configuration distinction
Validation:
${CLAUDE_PLUGIN_ROOT}/reference/kernel.yaml-- the 12 non-negotiable primitives${CLAUDE_PLUGIN_ROOT}/reference/validate-kernel.sh-- kernel validation script
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.
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.
- 5d ago First seen · 385 lines · 43 tokens per session scan B c24bd746c900
reseed is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 3,741 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
llm-wiki
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or…
migrate
Scan the project and migrate existing documentation into OKF format. Use when the user wants to populate the knowledge base from existing docs, README, schemas, API specs, runbooks, or any structured project knowledge. Trigger on "migrate to okf", "populate the knowledge base", "scan my docs", "convert docs to okf"…
ingest
Create or update a single OKF concept file from raw input. Use when the user wants to document a specific table, metric, API, service, or concept in the knowledge base — even if they say "add this to the okf", "documenta essa tabela", "cria um conceito pra isso", "adiciona no knowledge base", "register this API", or…
claude-mega-brain
OKF knowledge navigation. ALWAYS use this skill the moment a block appears in session context — it means the project has documented concepts and you must consult them before answering questions about data, schemas, metrics, APIs, or systems. Also trigger when the user asks about a table, column, metric definition…
init
Initialize OKF knowledge base files in the current project. Use when the user wants to start documenting their project for claude-mega-brain, or when the user says "init mega brain", "setup the knowledge base", "cria o okf", "inicializa o mega brain", "quero usar o mega brain", "criar a estrutura do knowledge base"…
remember
Capture a durable learning into the personal Trove. Use when the user says remember this, note this, save to trove, add to my trove, or when a session surfaces a decision, gotcha, convention/preference, or external reference worth keeping. Writes one atomic entry file and updates INDEX.md.