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/remembernpx skills add agenticnotetaking/arscontexta --skill remembergit 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 | $0.00040 | $0.04365 |
| Opus 5 | $0.00020 | $0.02183 |
| Sonnet 5 | $0.00008 | $0.00873 |
| Haiku 4.5 | $0.00004 | $0.00436 |
Grade A, and why
remember 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 — 535 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.notefor the note type name in output - Use
vocabulary.rethinkfor rethink command name in threshold alerts - Use
vocabulary.topic_mapfor MOC references
- Use
-
ops/config.yaml— thresholdsself_evolution.observation_threshold(default: 10) — for threshold alertsself_evolution.tension_threshold(default: 5) — for threshold alerts
-
ops/methodology/— read existing methodology notes before creating new ones (prevents duplicates)
If these files don't exist (pre-init invocation or standalone use), use universal defaults.
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target contains a quoted description or unquoted text: explicit mode — user describes friction directly
- If target is empty: contextual mode — review recent conversation for corrections
- If target contains
--mine-sessionsor--mine: session mining mode — scan ops/sessions/ for patterns
START NOW. Reference below defines the three modes.
Explicit Mode
User provides a description: /remember "don't process personal notes like research" or /remember always check for duplicates before creating
Step 1: Parse the Friction
Analyze the user's description to extract:
- What the agent did wrong (or what the user wants to prevent)
- What the user wants instead (the correct behavior)
- The scope — when does this apply? Always? Only for specific content types? Only in certain phases?
- The category — which area of agent behavior does this affect?
| Category | Applies When |
|---|---|
| processing | How to extract, reduce, or handle content |
| capture | How to record, file, or organize incoming material |
| connection | How to find, evaluate, or add links between notes |
| maintenance | How to handle health checks, reweaving, cleanup |
| voice | How to write, what tone or style to use |
| behavior | General agent conduct, interaction patterns |
| quality | Standards for notes, descriptions, titles |
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 · 535 lines · 40 tokens per session scan A 3cea125e9fed
remember is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 4,365 once invoked, about $0.0002 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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