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 skills add agenticnotetaking/arscontexta --skill nextgit 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/next)<a href="https://agentmods.dev/skills/agenticnotetaking/arscontexta/next"><img src="https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/next/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.
<a href="https://agentmods.dev/skills/agenticnotetaking/arscontexta/next"><img src="https://agentmods.dev/badge/skills/agenticnotetaking/arscontexta/next.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 306 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Excessive Agency · line 8 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 5.1 | $0.00050 | $0.04673 |
| Opus 5.5 | $0.00020 | $0.01869 |
| Sonnet 5.5 | $0.00010 | $0.00935 |
| Haiku 4.5 | $0.00005 | $0.00467 |
Grade A, and why
next 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 408 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, domain context- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.inboxfor the inbox folder name - Use
vocabulary.notefor the note type name in output - Use
vocabulary.topic_mapfor MOC references - Use
vocabulary.cmd_reducefor process/extract command - Use
vocabulary.cmd_reflectfor connection-finding command - Use
vocabulary.cmd_reweavefor backward-pass command - Use
vocabulary.rethinkfor rethink command name
- Use
-
ops/config.yaml— thresholds, processing preferencesself_evolution.observation_threshold(default: 10)self_evolution.tension_threshold(default: 5)
If these files don't exist, use universal defaults and generic command names.
EXECUTE NOW
INVARIANT: /next recommends, it does not execute. Present one recommendation with rationale. The user decides what to do. This prevents cognitive outsourcing where the system makes all work decisions and the user becomes a rubber stamp.
Execute these steps IN ORDER:
Step 1: Read Vocabulary
Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms (notes, inbox, topic map, etc).
Step 2: Reconcile Maintenance Queue
Before collecting state, evaluate all maintenance conditions and reconcile the queue. This ensures maintenance tasks are current before the recommendation engine runs.
Read queue file (ops/queue/queue.json or ops/queue.yaml). If schema_version < 3, migrate:
- Add
maintenance_conditionssection with default thresholds - Add
priorityfield to existing tasks (default: "pipeline") - Set
schema_version: 3
For each condition in maintenance_conditions:
- Evaluate the condition:
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.
- 1mo ago First seen · 408 lines · 50 tokens per session scan A 6a654614357c
next is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,509 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 4,673 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
obsidian-setup-consultant
Use this skill whenever the user wants to install, configure, migrate, design, or connect Obsidian as a second brain, knowledge base, cloud-synced vault, or AI/Hermes-readable memory. It is especially important when the user asks for an Obsidian setup prompt, vault architecture, folder structure, plugin…
cairnkit
Use when a user asks to initialize, run or resume, inspect, import, manage knowledge, evolve, or apply a cairnkit workflow proposal in a project.
audhd-executive-function
AUDHD executive function accommodations. Apply to all output the founder will act on.
alive:system-cleanup
The world feels messy. Stale tasks, orphan folders, v2 remnants, unsaved sessions — entropy is accumulating and needs to be addressed before it compounds. Scans across all walnuts, then surfaces issues one at a time.
alive:world
The human doesn't know what to work on, or wants to see everything at once. They need the big picture — what's active, what's stale, what needs attention. Renders a live world view grouped by ALIVE domain, then routes to open, tidy, find, history, or map.
alive:bundle
Create, share, and graduate bundles — the unit of focused work within a walnut. Manages the full bundle lifecycle from creation through sharing to graduation.