A deep-research workflow that investigates a question across multiple sources, extracts cited claims, checks them against competing analyses, and produces a synthesis.

Use it for multi-source research questions that need a fact-checked report, especially when the question has enough detail to investigate.

It reduces the manual work of searching, reading, comparing, and fact-checking many documents. If its local research tools are unavailable, it uses the built-in web-search path.

research — Skill for Claude Code by robinslange/learning-loop

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 robinslange/learning-loop

Claude Code

/plugin install learning-loop

Made for: Claude Code.

Or install learning-loop, the plugin that ships this one along with the rest of its 24 skills, 20 agents, 7 hooks.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/robinslange/learning-loop/research/github.svg)](https://agentmods.dev/skills/robinslange/learning-loop/research)

Your own site

<a href="https://agentmods.dev/skills/robinslange/learning-loop/research"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/robinslange/learning-loop/research"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,360 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 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.

Model	Per session	Once invoked
Fable 5.1	$0.00066	$0.01360
Opus 5.5	$0.00026	$0.00544
Sonnet 5.5	$0.00013	$0.00272
Haiku 4.5	$0.00007	$0.00136

Measured 1mo ago against content hash 8689296ca83d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

research scanned grade B with 2 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (workflow.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

`curl -s localhost:11434/api/generate -d '{"model":"gemma3:12b","prompt":"hi","stream":false,"keep_alive":"30m"}' >/dev/null`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`curl -s localhost:11434/api/generate -d '{"model":"gemma3:12b","prompt":"hi","stream":false,"keep_alive":"30m"}' >/dev/null`

plugin/skills/research/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research: librarian-offloaded deep research

Overview

Same shape as the built-in /deep-research — Scope → Search → Fetch → Extract → 3-vote adversarial Verify → Synthesize — but the middle three phases run on the local librarian (via bin/source-gateway.mjs research: Brave search + fetch + local Gemma claim extraction). Roughly 15 source documents are distilled to one-line cited claims before anything reaches Claude. Scope, Verify, and Synthesize stay on Claude — Verify is the step most likely to expose a small model's reasoning gap, and it runs over cheap one-line claims, not prose.

If the librarian can't run (Ollama down, no Brave key, sub-tier model, or it returns zero claims) the workflow falls back to the Claude-native WebSearch path so the command never hard-breaks.

When to use

/learning-loop:research "<question>" — a deep, multi-source, fact-checked report when you have a research-capable local model (12b+; chosen at /init).
If the question is underspecified (e.g. "what car to buy" with no budget/use-case/region), ask 2-3 clarifying questions first, then weave the answers into the question you pass.

Prerequisites (the workflow checks these, but know them)

Ollama running locally with a research-capable model resident (gemma3:12b default; the e2b tier is triage-only and will trip the capability gate).
Brave API key in the macOS Keychain (service="brave-search-api-key", account=$USER) — same key the Brave MCP uses.
The model and keep_alive come from librarian.* config (set at /init). Cold start: the first 12b call adds ~10-40s; keep_alive (default 30m) keeps it warm after. To avoid a cold first call, warm it first: curl -s localhost:11434/api/generate -d '{"model":"gemma3:12b","prompt":"hi","stream":false,"keep_alive":"30m"}' >/dev/null

How to run

First, resolve the plugin root — ${CLAUDE_PLUGIN_ROOT} is not an environment variable in any shell; the Skill tool substitutes it only when it loads this SKILL.md, so the workflow must be handed a concrete absolute path. In a Bash block, run:

Read the full file on GitHub · 100 lines

Files

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.

workflow.js 36 KB runs code

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.

1mo ago Changed 8689296ca83d
1mo ago Changed · +1 lines b96e7db03234
2mo ago First seen · 99 lines · 66 tokens per session scan B fad389596d1b

Subscribe to this mod's changes

research is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,360 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research

research next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
researchrobinslange/learning-loop	Skill	13	4d ago	Apache-2.0	B	66	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

research