agentmods.dev

learn

learn is a skill for Claude Code from wyattowalsh/agents. It costs 39 tokens per session (887 once invoked), scanned A, original, MIT.

A knowledge-capture assistant for recording corrections, insights, and repeated patterns as reusable project instructions. It routes each learning to the appropriate instruction file.

In plain words
What is it for?
Use it to record corrections, review pending learnings, promote frequently repeated patterns, and find stale or conflicting instructions.
Why use it?
It helps prevent the same mistake from being repeated and keeps project guidance consistent over time.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions AGENTS.md.

Part of the agents plugin — 71 skills, 20 agents, 5 hooks shipped together

not rated 5repo 1mo ago A scan 39 tokens original MIT

Good fit Use it to record corrections, review pending learnings, promote frequently repeated patterns, and find stale or conflicting instructions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wyattowalsh/agents/learn
View source ↗ wyattowalsh/agents agents.w4w.dev
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 wyattowalsh/agents --skill learn
Clone the repo
git clone --depth 1 https://github.com/wyattowalsh/agents

Made for: Claude Code.

Or install agents, the plugin that ships this one along with the rest of its 71 skills, 20 agents, 5 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 learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/wyattowalsh/agents/learn/github.svg)](https://agentmods.dev/skills/wyattowalsh/agents/learn)
Your own site
<a href="https://agentmods.dev/skills/wyattowalsh/agents/learn"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/learn/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 learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/wyattowalsh/agents/learn"><img src="https://agentmods.dev/badge/skills/wyattowalsh/agents/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 887 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 $0.00039 $0.00887
Opus 5.5 $0.00016 $0.00355
Sonnet 5.5 $0.00008 $0.00177
Haiku 4.5 $0.00004 $0.00089

Measured 1mo ago against content hash ec2b45232440, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learn 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.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/asset_toolkit/__init__.py, scripts/asset_toolkit/_shared.py, scripts/asset_toolkit/common.py, …), 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.

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.

skills/learn/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learn — Capture and Route Project Knowledge

Record corrections, insights, and patterns. Route them to the correct instruction file. Apply kaizen principles to keep instructions lean and effective.

Dispatch

$ARGUMENTS Action
"<correction text>" Route correction to appropriate instruction file
review Show pending learnings and their frequency
promote Promote high-frequency learnings (3+ occurrences) to instruction files
audit Check for stale, contradictory, or duplicate learnings
Empty Display usage summary

References

File Purpose
references/routing-rules.md Decision tree for where to route instruction changes
references/kaizen-principles.md Error-proofing patterns, when to use hooks vs prose vs rules

Routing Protocol

Route proposed updates to the correct target:

Scope Target
Cross-project conventions instructions/global.md
Language-specific tooling Convention skill (python-conventions, etc.)
Orchestration/parallelism orchestrator skill body
Project-specific standards Project's AGENTS.md
File-scoped enforcement .claude/rules/<topic>.md
Skill behavior The skill's own SKILL.md

Routing Decision Steps

  1. Determine the scope: does this apply to all projects or just one?
  2. If cross-project, does it relate to a specific language or tool?
  3. If language-specific, route to the corresponding convention skill
  4. If general, route to instructions/global.md
  5. If project-only, route to the project's AGENTS.md
  6. If file-scoped enforcement only, create a .claude/rules/ entry

Kaizen Principles

  1. Incremental > revolutionary — Smallest viable change, verify before next
  2. Poka-yoke — Prefer hooks/tooling over prose instructions (error-proof by design)
  3. Standards work — Follow existing patterns, document what works
  4. JIT — Build only what is needed, optimize when measured

Read the full file on GitHub · 104 lines

Files

What ships with it

15 files 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.

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 First seen · 104 lines · 39 tokens per session scan A ec2b45232440

Subscribe to this mod's changes

learn is a skill published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 887 once invoked, about $0.0002 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 2026-09-03.

Building agents
Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens