Joonghyun-Lee-Frieren__oh-my-antigravity

Joonghyun-Lee-Frieren__oh-my-antigravity is a skill for Claude Code from Bilal140202/the-lord-of-the-skills. It costs 0 tokens per session (577 once invoked), scanned A, original, MIT.

A session-end learning tool that finds reusable patterns in past coding-agent conversations and saves them as rules. It can focus on errors, workarounds, and working styles.

In plain words
What is it for?
Reviewing completed sessions, extracting recurring solutions or conventions, and curating the learned rules stored in a project’s .omg/rules/learned/ directory.
Why use it?
Useful solutions and project habits often disappear when a session ends. Saving them makes those lessons available for later work.

Skill for Claude Code

Written for Claude Code: SessionEnd hook event.

Good fit Reviewing completed sessions, extracting recurring solutions or conventions, and curating the learned rules stored in a project’s .omg/rules/learned/ directory.

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Install with agentmods
npx agentmods add skills/bilal140202/the-lord-of-the-skills/joonghyun-lee-frieren__oh-my-antigravity
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 Bilal140202/the-lord-of-the-skills --skill joonghyun-lee-frieren__oh-my-antigravity
Clone the repo
git clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skills

Made for: Claude Code.

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 Joonghyun-Lee-Frieren__oh-my-antigravity

README.md
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Your own site
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/joonghyun-lee-frieren__oh-my-antigravity"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/joonghyun-lee-frieren__oh-my-antigravity/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/joonghyun-lee-frieren__oh-my-antigravity"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/joonghyun-lee-frieren__oh-my-antigravity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 577 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 $0.00000 $0.00577
Opus 5.5 $0.00000 $0.00231
Sonnet 5.5 $0.00000 $0.00115
Haiku 4.5 $0.00000 $0.00058

Measured 1mo ago against content hash 8169706a87d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Joonghyun-Lee-Frieren__oh-my-antigravity 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.

skills/fangorn/claude-code/Joonghyun-Lee-Frieren__oh-my-antigravity/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.


REFACTORED: Integrated interactive selective save functionality into the learn skill.

The extraction process now prioritizes common reusable patterns over simple chat logs.

Default behavior is to save all identified patterns, allowing users to opt into selective saving.

name = "learn" description = "Automatically extract reusable patterns from sessions and save them as learned skills/rules for future use."

Learn Skill

Automatically evaluates OmA sessions to extract reusable patterns (error resolutions, workarounds, conventions) and save them to .omg/rules/learned/.

When to Activate

  • Setting up automatic pattern extraction from OmA sessions.
  • Configuring the SessionEnd hook for session evaluation.
  • Reviewing or curating learned skills in .omg/rules/learned/.
  • Adjusting extraction thresholds or pattern categories.

How It Works

This skill runs as a SessionEnd hook at the end of each session:

  1. Session Evaluation: Checks if session has enough messages (default: 10+).
  2. Pattern Detection: Identifies extractable patterns (errors, workarounds, styles).
  3. Skill Extraction: Saves useful patterns as new rules in .omg/rules/learned/.

Interactive Selective Save

When /oma:learn is run, the agent will:

  1. Identify high-signal reusable patterns.
  2. List these patterns with unique IDs.
  3. Ask the user whether to save all or specific ones.
  4. Default to saving all if not specified.

Extraction Focus

The learn skill focuses on reusable patterns rather than simple chat history:

  • Common Error Resolutions: How recurring errors were fixed.
  • Environment Workarounds: Fixes for tool or framework quirks.
  • Style/Conventions: Project-specific rules identified during work.
  • Corrected Behaviors: Mistakes the agent should avoid in the future.

Configuration

Edit .omg/rules/learn.json to customize:

{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "learned_skills_path": ".omg/rules/learned/",
  "patterns_to_detect": [
    "error_resolution",
    "user_corrections",
    "workarounds",
    "debugging_techniques",
    "project_specific"
  ],
  "ignore_patterns": [
    "simple_typos",
    "one_time_fixes",
    "external_api_issues"
  ]
}

Read the full file on GitHub · 74 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 First seen · 74 lines · 0 tokens per session scan A 8169706a87d6

Subscribe to this mod's changes

Joonghyun-Lee-Frieren__oh-my-antigravity is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 577 tokens. 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.

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