learn-show

learn-show is a command for Claude Code from ankushdixit/claude-plugins. It costs 5 tokens per session (360 once invoked), scanned A, original, MIT.

A command for viewing saved development lessons, such as design patterns, pitfalls, best practices, technical debt, performance findings, and security discoveries.

In plain words
What is it for?
Use it to browse all lessons or filter them by category, tag, or session number, such as finding FastAPI gotchas from session 5.
Why use it?
It helps you find past insights instead of relying on memory or searching through old sessions.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the sk plugin — 17 commands shipped together

Good fit Use it to browse all lessons or filter them by category, tag, or session number, such as finding FastAPI gotchas from session 5.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/ankushdixit/claude-plugins/learn-show
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.

Clone the repo
git clone --depth 1 https://github.com/ankushdixit/claude-plugins

Made for: Claude Code.

Or install sk, the plugin that ships this one along with the rest of its 17 commands.

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-show

README.md
[![agentmods](https://agentmods.dev/badge/commands/ankushdixit/claude-plugins/learn-show/github.svg)](https://agentmods.dev/commands/ankushdixit/claude-plugins/learn-show)
Your own site
<a href="https://agentmods.dev/commands/ankushdixit/claude-plugins/learn-show"><img src="https://agentmods.dev/badge/commands/ankushdixit/claude-plugins/learn-show/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-show

Your own site · 80×15
<a href="https://agentmods.dev/commands/ankushdixit/claude-plugins/learn-show"><img src="https://agentmods.dev/badge/commands/ankushdixit/claude-plugins/learn-show.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 360 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 $0.00005 $0.00360
Opus 5.5 $0.00002 $0.00144
Sonnet 5.5 $0.00001 $0.00072
Haiku 4.5 $0.00001 $0.00036

Measured 1mo ago against content hash f16cd7904373, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learn-show 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.

solokit/commands/learn-show.md · 76 lines

What it actually says

Show Learnings

View captured learnings with optional filtering.

Usage

Parse $ARGUMENTS for filters and run the show-learnings command:

sk learn-show "$@"

Filter Options

  • --category <category> - Filter by category:

    • architecture_patterns - Design decisions and patterns
    • gotchas - Edge cases and pitfalls
    • best_practices - Effective approaches
    • technical_debt - Areas needing improvement
    • performance_insights - Optimization learnings
    • security - Security-related discoveries
  • --tag <tag> - Filter by specific tag (e.g., python, fastapi, cors)

  • --session <number> - Show learnings from specific session number

Examples

Show all learnings:

sk learn-show

Show only gotchas:

sk learn-show --category gotchas

Show learnings tagged with "fastapi":

sk learn-show --tag fastapi

Show learnings from session 5:

sk learn-show --session 5

Combine filters (gotchas from session 5):

sk learn-show --category gotchas --session 5

Display Format

The command will display learnings in organized format showing:

  • Category grouping
  • Learning content
  • Tags (if any)
  • Session number where captured
  • Timestamp
  • Learning ID

Present the output to the user in a clear, readable format.

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 · 76 lines · 0 tokens per session scan A f16cd7904373

Subscribe to this mod's changes

learn-show is a command published in the GitHub repository ankushdixit/claude-plugins (3 stars, last pushed 9mo ago), licensed MIT. It adds 5 tokens to every session and 360 once invoked, about $0.0000 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 2026-08-31.