quick

quick is a skill for Claude Code from robinslange/learning-loop. It costs 63 tokens per session (1,668 once invoked), scanned A, original, Apache-2.0.

A one-shot question-answering workflow that combines web research with notes from a personal knowledge vault, then checks sources before saving noteworthy answers.

In plain words
What is it for?
Use it to answer a direct question or infer one from the recent conversation, compare it with vault notes, research it online, and capture a new answer.
Why use it?
It avoids repeating research or overlooking what is already known. It also keeps captured answers separate from spoken answers until they are verified.

Skill for Claude Code

Written for Claude Code: PostToolUse hook event. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the learning-loop plugin — 24 skills, 20 agents, 7 hooks shipped together

Good fit Use it to answer a direct question or infer one from the recent conversation, compare it with vault notes, research it online, and capture a new answer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/robinslange/learning-loop/quick
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 robinslange/learning-loop --skill quick
Clone the repo
git clone --depth 1 https://github.com/robinslange/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.

agentmods badge for quick

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinslange/learning-loop/quick"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/quick.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,668 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 $0.00063 $0.01668
Opus 5.5 $0.00025 $0.00667
Sonnet 5.5 $0.00013 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured 1mo ago against content hash 9ace00948f22, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quick 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 1mo 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.

plugin/skills/quick/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quick: Fast Verified Answers

Overview

Answer a question quickly with web research, vault awareness, and source verification. One shot, no interactive rounds. Auto-captures noteworthy answers to the vault.

When to Use

  • /learning-loop:quick "how much have jaguar prices dropped recently?": direct question
  • /learning-loop:quick: infer question from conversation context

Process

Step 1: Parse the Question

If args provided: Use as the question.

If no args: Read recent conversation. Identify the question being discussed. If no clear question, ask the user with AskUserQuestion.

Step 2: Parallel Research

Spawn both subagents concurrently (dispatch: skills-shared/dispatch.md):

Vault Scout (discovery-vault-scout):

Search the vault for what the user already knows about this topic.

Topic: <question keywords>
Vault path: {{VAULT}}/
Angle: <the specific question being asked>

Return relevant notes with content, and identify gaps.

Researcher (discovery-researcher):

Answer this specific question with web research.

Topic: <the question>
Existing knowledge: (empty: vault results not available yet)

Focus on answering the question directly, not mapping the landscape.
Source-resolve any academic claims.
Return: direct answer, supporting evidence, sources with metadata, confidence level.

Step 3: Synthesize Answer

Merge vault-scout and researcher results into a direct answer.

Structure:

  • If vault has relevant notes, lead with what the user already knows and how the new info extends or updates it
  • If vault contradicts web findings, flag it explicitly: "Your note X says Y, but recent evidence shows Z"
  • If vault has nothing relevant, lead with the web findings
  • Keep it to 3-10 sentences. Cite sources inline.
  • End with confidence: high (multiple concordant sources), medium (single source or mixed), low (sparse evidence, flag uncertainty)

Tone: Conversational. Plain language. No hedging paragraphs: if uncertain, one line says so.

Read the full file on GitHub · 151 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. 1mo ago Changed · -1 lines 9ace00948f22
  2. 1mo ago Changed · +1 lines efbe78c1afac
  3. 2mo ago Changed de30de1e430f
  4. 2mo ago First seen · 151 lines · 63 tokens per session scan A b1a96f92b028

Subscribe to this mod's changes

quick is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 63 tokens to every session and 1,668 once invoked, about $0.0003 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.

Related

quick compared with skills from other repositories

quick next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
quickrobinslange/learning-loopSkill134d agoApache-2.0A63Claude Code
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex