research

research is a command for Claude Code from restarter/lets-workflow. It costs 30 tokens per session (3,702 once invoked), scanned A, original, MIT.

A command for researching questions about the outside world using current web sources. It returns a concise answer with citations for important factual claims and notes when evidence is limited.

In plain words
What is it for?
Answering current technical or general questions, comparing tools or products, and producing research with a sources list.
Why use it?
It helps when an answer needs checkable sources rather than guesses from the model's existing knowledge. It also separates sourced research from project advice, planning, or expert opinion.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the lets plugin — 20 skills, 26 commands, 16 agents shipped together

Good fit Answering current technical or general questions, comparing tools or products, and producing research with a sources list.

Compare 6 commands from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add restarter/lets-workflow
Claude Code
/plugin install lets

Made for: Claude Code.

Or install lets, the plugin that ships this one along with the rest of its 20 skills, 26 commands, 16 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for research

README.md
[![agentmods](https://agentmods.dev/badge/commands/restarter/lets-workflow/research/github.svg)](https://agentmods.dev/commands/restarter/lets-workflow/research)
Your own site
<a href="https://agentmods.dev/commands/restarter/lets-workflow/research"><img src="https://agentmods.dev/badge/commands/restarter/lets-workflow/research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for research

Your own site · 80×15
<a href="https://agentmods.dev/commands/restarter/lets-workflow/research"><img src="https://agentmods.dev/badge/commands/restarter/lets-workflow/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,702 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00030 $0.03702
Opus 5.5 $0.00012 $0.01481
Sonnet 5.5 $0.00006 $0.00740
Haiku 4.5 $0.00003 $0.00370

Measured today against content hash eac14514a2d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research 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 today.

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.

plugins/lets/commands/research.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Answer an external or technical question with a CITED synthesis: decompose the question, search + fetch the best sources, cross-check the claims to flag weak or contradicted ones, then present a sourced answer with a Sources list and an as-of date.

IMPORTANT: If the spec below invokes any deferred tool (e.g. AskUserQuestion, WebSearch, WebFetch), you MUST load and call it as specified. Never skip the call, never substitute a default answer of your own — the tool invocation is part of the contract. This is critical.

When to use which

/lets:research /lets:opinion /lets:ask
Purpose Sourced external answer Project-grounded judgment / ideas Quick model-knowledge consult
Output Cited synthesis + Sources Recommendation or insights One expert's take
Input A question (external facts) A decision or open question about your project A question
Grounding Web sources (+ --project for repo) Your codebase via subagents, no web Model knowledge

Litmus: if the answer should end with a Sources list, it's research. Example: "which local LLM fits 32GB RAM + RTX 3080?" → research. "how should WE structure our rate-limiter?" → opinion (project-grounded, no sources).

Usage

/lets:research <question>             # Research the question, return a cited synthesis
/lets:research                        # Ask what to research, then go
/lets:research <question> --workflow  # Run research + cross-check off-context via a Dynamic Workflow
/lets:research <question> --project   # Also ground findings against THIS repo (keeps the PROJECT_ROOT boundary)

Step 1: Parse + run mode

Parse the argument: strip a --workflow token (sets workflow mode) and a --project token (enables repo grounding) if present; the rest is the question.

If a question remains: use it. If not: ask via AskUserQuestion (header Research, question "What do you want me to research?") and wait.

Read the full file on GitHub · 203 lines

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. today Changed eac14514a2d1
  2. 15d ago Changed · +2 lines c5df183e6e32
  3. 19d ago Changed · +2 lines 67eebe3e241a
  4. 20d ago Changed · +3 lines 452869e702ee
  5. 1mo ago Changed · +125 lines · +30 tokens per session 8b0dc60bf08b
  6. 1mo ago First seen · 71 lines · 0 tokens per session scan A f04b6c83c0f6

Subscribe to this mod's changes

research is a command published in the GitHub repository restarter/lets-workflow (17 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 3,702 once invoked, about $0.0001 per session on Opus 5.5. 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.