learning-research

learning-research is a skill for Claude Code from luqs1/learning-agent. It costs 20 tokens per session (10,297 once invoked), scanned A, original, no licence file.

A research step for the Learning agent that gathers checked information about a topic before teaching it. The description does not specify how the information is verified.

In plain words
What is it for?
Use it before a Learning agent explains a topic that requires background research.
Why use it?
It is intended to reduce the risk of teaching unsupported or inaccurate claims.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the learning-agent plugin — 4 skills, 2 agents shipped together

Good fit Use it before a Learning agent explains a topic that requires background research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/luqs1/learning-agent/learning-research
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.

Any agent
npx skills add luqs1/learning-agent --skill learning-research
Clone the repo
git clone --depth 1 https://github.com/luqs1/learning-agent

Made for: Claude Code.

Or install learning-agent, the plugin that ships this one along with the rest of its 4 skills, 2 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 learning-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/luqs1/learning-agent/learning-research/github.svg)](https://agentmods.dev/skills/luqs1/learning-agent/learning-research)
Your own site
<a href="https://agentmods.dev/skills/luqs1/learning-agent/learning-research"><img src="https://agentmods.dev/badge/skills/luqs1/learning-agent/learning-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 learning-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/luqs1/learning-agent/learning-research"><img src="https://agentmods.dev/badge/skills/luqs1/learning-agent/learning-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,297 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00020 $0.10297
Opus 5.5 $0.00008 $0.04119
Sonnet 5.5 $0.00004 $0.02059
Haiku 4.5 $0.00002 $0.01030

Measured 21d ago against content hash cd92b516ff43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learning-research scanned grade A with 1 finding 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 21d ago.

The scan reads SKILL.md. This mod also ships 25 executable files (scripts/_lib.sh, scripts/arxiv.sh, scripts/companies-house.sh, …), 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.

Makes network callslowCapability

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

- `research.fetch` after every fetch: `{"url":"<url>","ok":true}` (or `false` if the fetch failed or returned nothing useful). A fetch is any read of a source: `fetch-readable.sh`, `yt-transcript.sh`, `WebFetch`, `mcp__e
claude/skills/learning-research/SKILL.md · 565 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 21d ago Changed · +172 lines cd92b516ff43
  2. 23d ago Changed · +224 lines b13f68bf7b2a
  3. 1mo ago First seen · 169 lines · 20 tokens per session scan A a32c88472a59

Subscribe to this mod's changes

learning-research is a skill published in the GitHub repository luqs1/learning-agent (11 stars, last pushed 5d ago), with no licence file. It adds 20 tokens to every session and 10,297 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

lean-formalize

Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…

wanshuiyin/Auto-claude-code-research-in-sleep · 81 tokens

exam-forecast

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.

anthropics/claude-for-legal · 73 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens