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/helpnpx skills add agenticnotetaking/arscontexta --skill helpgit clone --depth 1 https://github.com/agenticnotetaking/arscontextaWhat 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 | $0.00064 | $0.03142 |
| Opus 5 | $0.00032 | $0.01571 |
| Sonnet 5 | $0.00013 | $0.00628 |
| Haiku 4.5 | $0.00006 | $0.00314 |
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.
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: $ARGUMENTS
Parse immediately:
- If target contains
--compact: force compact mode regardless of vault state - If target contains a skill name (e.g., "help reduce" or "help reflect"): show detailed help for that specific skill
- If target is empty: determine mode from vault state
Execute these steps:
- Gather vault state (Step 1)
- Resolve domain vocabulary (Step 2)
- Determine mode (Step 3)
- Discover commands dynamically (Step 4)
- Render the appropriate mode (Step 5)
START NOW. Reference below defines each step.
Step 1: Gather Vault State
Determine the notes folder by checking which domain-named directory exists (notes/, reflections/, concepts/, ideas/, decisions/, memories/, or any custom name from derivation-manifest.md). Then gather counts:
- Note count:
.mdfiles in the notes folder, excluding MOCs (files withtype: mocin frontmatter) - Inbox count:
.mdfiles in the inbox folder (inbox/, journal/, encounters/, etc.) - Observation count:
.mdfiles inops/observations/orops/methodology/ - Tension count:
.mdfiles inops/tensions/ - Connection density: count wiki links (
[[) across notes folder; sparse if fewer than 2x note count - Queue state: pending tasks in
ops/queue/queue.yamlorops/queue/queue.json - Health warnings: check latest report in
ops/health/if it exists - Tutorial state: check
ops/tutorial-state.yamlfor incomplete tutorial - Session count: estimate from
ops/sessions/file count (indicates usage maturity)
# Quick state gathering
note_count=$(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.
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.
- 2d ago First seen · 349 lines · 64 tokens per session scan A e2207f51d933
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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