recommend

A command that evaluates a decision by comparing options and trade-offs, then writes a recommendation to a shared strategy folder.

In plain words
What is it for?
Comparing alternatives, weighing their advantages and disadvantages, and documenting the recommended course of action.
Why use it?
It provides a repeatable way to turn an unclear choice into an explained recommendation.

Command for Claude Code

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 commands/abilityai/trinity/recommend
Clone the repo
git clone --depth 1 https://github.com/Abilityai/trinity

Made for: Claude Code.

Per session 6 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 86 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 $0.00006 $0.00086
Opus 5 $0.00003 $0.00043
Sonnet 5 $0.00001 $0.00017
Haiku 4.5 $0.00001 $0.00009

Measured 2d ago against content hash 1cfcb908ffb9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

config/agent-templates/sage/.claude/commands/recommend.md · 14 lines

What it actually says

Provide strategic recommendations for: $ARGUMENTS

If no decision context was provided, ask for it and stop.

  1. Understand the decision context
  2. Identify options and alternatives
  3. Evaluate trade-offs
  4. Recommend with rationale
  5. Save the document to /home/developer/shared-out/strategy/recommendations/
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 · 14 lines · 6 tokens per session scan A 1cfcb908ffb9

Subscribe to this mod's changes

recommend is a command published in the GitHub repository Abilityai/trinity (496 stars, last pushed 4d ago), licensed Apache-2.0. It adds 6 tokens to every session and 86 once invoked, about $0.0000 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.