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/reweavenpx skills add agenticnotetaking/arscontexta --skill reweavegit 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/reweave)<a href="https://agentmods.dev/skills/agenticnotetaking/arscontexta/reweave"><img src="https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/reweave.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 | $0.00070 | $0.05646 |
| Opus 5 | $0.00035 | $0.02823 |
| Sonnet 5 | $0.00014 | $0.01129 |
| Haiku 4.5 | $0.00007 | $0.00565 |
Grade C, and why
reweave scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$LOCKDIR" How it starts
The opening of the file, as written. The whole thing — 657 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runtime Configuration (Step 0 — before any processing)
Read these files to configure domain-specific behavior:
-
ops/derivation-manifest.md— vocabulary mapping, platform hints- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.note/vocabulary.note_pluralfor note type references - Use
vocabulary.reweavefor the process verb in output - Use
vocabulary.topic_map/vocabulary.topic_map_pluralfor MOC references - Use
vocabulary.cmd_verifyfor the next-phase suggestion
- Use
-
ops/config.yaml— processing depth, pipeline chainingprocessing.depth: deep | standard | quickprocessing.chaining: manual | suggested | automaticprocessing.reweave.scope: related | broad | full
If these files don't exist, use universal defaults.
Processing depth adaptation:
| Depth | Reweave Behavior |
|---|---|
| deep | Full reconsideration. Search extensively for newer related {vocabulary.note_plural}. Consider splits, rewrites, challenges. Evaluate claim sharpening. Multiple search passes. |
| standard | Balanced review. Search semantic neighbors and same-{vocabulary.topic_map} {vocabulary.note_plural}. Add connections, sharpen if needed. |
| quick | Minimal backward pass. Add obvious connections only. No rewrites or splits. |
Reweave scope:
| Scope | Behavior |
|---|---|
| related | Search {vocabulary.note_plural} directly related to the target (same {vocabulary.topic_map}, semantic neighbors) |
| broad | Search across all {vocabulary.topic_map_plural} and semantic space for potential connections |
| full | Complete review including potential splits, rewrites, and claim challenges |
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target contains
[[note name]]or note name: reweave that specific {vocabulary.note} - If target contains
--handoff: output RALPH HANDOFF block at end - If target is empty: find {vocabulary.note_plural} that most need reweaving (oldest, sparsest, most outdated)
- If target is "recent" or "--since Nd": reweave {vocabulary.note_plural} not touched in N days
- If target is "sparse": find {vocabulary.note_plural} with fewest connections
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 · 657 lines · 70 tokens per session scan C d1cf3d54296a
reweave is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 70 tokens to every session and 5,646 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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"…
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…
dogfood
Run a dogfooding session for hyalo — build from source, exercise the CLI against real knowledgebases (own KB, MDN, GitHub Docs, VS Code docs), find bugs, verify recent fixes, assess UX, measure performance, and write a structured report. Use this skill whenever the user says /dogfood, "dogfood", "run a dogfood…
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…
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…
release
Cut a hyalo release end-to-end — verify/bump the workspace version, rotate the changelog with hyalo itself, sync the winget fork, publish the GitHub release with curated + auto-generated notes, and watch the pipeline. Use this skill whenever the user wants to release a new hyalo version, cut/tag/publish vX.Y.Z, says…