help

A help and command-discovery assistant for a personal knowledge system, such as a collection of linked notes.

In plain words
What is it for?
Use it when starting out, checking what commands are available, or getting task-specific help for a named skill.
Why use it?
It explains available commands and adapts the guidance to the notes, inbox, and other folders currently present.

Skill for Claude CodeCodex

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/help
Any agent
npx skills add agenticnotetaking/arscontexta --skill help
Clone the repo
git clone --depth 1 https://github.com/agenticnotetaking/arscontexta

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,142 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 $0.00064 $0.03142
Opus 5 $0.00032 $0.01571
Sonnet 5 $0.00013 $0.00628
Haiku 4.5 $0.00006 $0.00314

Measured 2d ago against content hash e2207f51d933, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

help 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 2d 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.

skills/help/SKILL.md · 349 lines

How it starts

The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE NOW

Target: $ARGUMENTS

Parse immediately:

  • If target contains --compact: force compact mode regardless of vault state
  • If target contains a skill name (e.g., "help reduce" or "help reflect"): show detailed help for that specific skill
  • If target is empty: determine mode from vault state

Execute these steps:

  1. Gather vault state (Step 1)
  2. Resolve domain vocabulary (Step 2)
  3. Determine mode (Step 3)
  4. Discover commands dynamically (Step 4)
  5. Render the appropriate mode (Step 5)

START NOW. Reference below defines each step.


Step 1: Gather Vault State

Determine the notes folder by checking which domain-named directory exists (notes/, reflections/, concepts/, ideas/, decisions/, memories/, or any custom name from derivation-manifest.md). Then gather counts:

  • Note count: .md files in the notes folder, excluding MOCs (files with type: moc in frontmatter)
  • Inbox count: .md files in the inbox folder (inbox/, journal/, encounters/, etc.)
  • Observation count: .md files in ops/observations/ or ops/methodology/
  • Tension count: .md files in ops/tensions/
  • Connection density: count wiki links ([[) across notes folder; sparse if fewer than 2x note count
  • Queue state: pending tasks in ops/queue/queue.yaml or ops/queue/queue.json
  • Health warnings: check latest report in ops/health/ if it exists
  • Tutorial state: check ops/tutorial-state.yaml for incomplete tutorial
  • Session count: estimate from ops/sessions/ file count (indicates usage maturity)
# Quick state gathering
note_count=$(ls -1 {vocabulary.notes}/*.md 2>/dev/null | wc -l | tr -d ' ')
inbox_count=$(ls -1 {vocabulary.inbox}/*.md 2>/dev/null | wc -l | tr -d ' ')
obs_count=$(ls -1 ops/observations/*.md ops/methodology/*.md 2>/dev/null | wc -l | tr -d ' ')
tension_count=$(ls -1 ops/tensions/*.md 2>/dev/null | wc -l | tr -d ' ')

Step 2: Resolve Domain Vocabulary

Read ops/derivation-manifest.md (or fall back to ops/derivation.md Vocabulary Mapping section). Extract domain-native names for: reduce, reflect, reweave, verify, rethink, note, MOC, inbox. If neither file exists, use universal names.

Read the full file on GitHub · 349 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.

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. 2d ago First seen · 349 lines · 64 tokens per session scan A e2207f51d933

Subscribe to this mod's changes

help is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 64 tokens to every session and 3,142 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.

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