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/recommendnpx skills add agenticnotetaking/arscontexta --skill recommendgit 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 | $0.00056 | $0.04605 |
| Opus 5 | $0.00028 | $0.02302 |
| Sonnet 5 | $0.00011 | $0.00921 |
| Haiku 4.5 | $0.00006 | $0.00460 |
Grade A, and why
recommend 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 — 558 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 recommendation behavior:
-
${CLAUDE_PLUGIN_ROOT}/reference/tradition-presets.md— tradition and use-case presets- Pre-validated coherence points in the 8-dimension space
- Starting points for customization, not final answers
-
${CLAUDE_PLUGIN_ROOT}/reference/methodology.md— universal methodology principles -
${CLAUDE_PLUGIN_ROOT}/reference/components.md— component blueprints (what can be toggled) -
${CLAUDE_PLUGIN_ROOT}/reference/dimension-claim-map.md— maps each dimension position to supporting research claims -
${CLAUDE_PLUGIN_ROOT}/reference/interaction-constraints.md— hard blocks, soft warns, cascade effects between dimensions -
${CLAUDE_PLUGIN_ROOT}/reference/claim-map.md— topic navigation for the research graph
If any reference file is missing, note the gap but continue with available information. The recommendation degrades gracefully — fewer citations, same structure.
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target is empty or a question: enter conversational mode — ask 1-2 clarifying questions, then recommend
- If target contains a use case description: proceed directly to recommendation mode
- If target contains
--compare [A] [B]: enter comparison mode — compare two presets or configurations
START NOW. Reference below defines the workflow.
Philosophy
Advisory, not generative.
/recommend exists for exploration. The user is considering a knowledge system — maybe they have a use case, maybe they're comparing approaches, maybe they're curious what the research says about a specific pattern. /recommend answers with specific, research-backed reasoning without creating any files.
This is the entry point before commitment. /setup generates a full system. /recommend sketches what that system would look like and WHY, so the user can decide whether to proceed. Every recommendation traces to specific research claims. "I recommend X" is never enough — "I recommend X because [[claim]]" is the minimum.
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 · 558 lines · 56 tokens per session scan A 16f298291924
recommend is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 4,605 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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