continuous-learning

continuous-learning is a skill for Claude Code from KratosAR/claude-code-arsenal. It costs 21 tokens per session (884 once invoked), scanned B, a copy of continuous-learning, MIT.

A session-learning tool that examines completed Claude Code sessions and saves reusable solutions as learned skills. It looks for patterns such as error fixes, debugging methods, workarounds, and project-specific practices.

In plain words
What is it for?
Use it to configure end-of-session learning, review saved skills, adjust extraction rules, and compare the first version with the instinct-based version.
Why use it?
It helps retain useful approaches from past sessions instead of making you rediscover them later.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: reads .claude/ paths; mentions Claude Code.

Part of the arsenal-core plugin — 43 skills, 15 agents shipped together

Good fit Use it to configure end-of-session learning, review saved skills, adjust extraction rules, and compare the first version with the instinct-based version.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kratosar/claude-code-arsenal/continuous-learning
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 KratosAR/claude-code-arsenal --skill continuous-learning
Clone the repo
git clone --depth 1 https://github.com/KratosAR/claude-code-arsenal

Made for: Claude Code.

Or install arsenal-core, the plugin that ships this one along with the rest of its 43 skills, 15 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 continuous-learning

README.md
[![agentmods](https://agentmods.dev/badge/skills/kratosar/claude-code-arsenal/continuous-learning/github.svg)](https://agentmods.dev/skills/kratosar/claude-code-arsenal/continuous-learning)
Your own site
<a href="https://agentmods.dev/skills/kratosar/claude-code-arsenal/continuous-learning"><img src="https://agentmods.dev/badge/skills/kratosar/claude-code-arsenal/continuous-learning/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 continuous-learning

Your own site · 80×15
<a href="https://agentmods.dev/skills/kratosar/claude-code-arsenal/continuous-learning"><img src="https://agentmods.dev/badge/skills/kratosar/claude-code-arsenal/continuous-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 884 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod 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 $0.00021 $0.00884
Opus 5.5 $0.00008 $0.00354
Sonnet 5.5 $0.00004 $0.00177
Haiku 4.5 $0.00002 $0.00088

Measured 1mo ago against content hash a058ebce9b21, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

continuous-learning scanned grade B 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (evaluate-session.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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

Add to your `~/.claude/settings.json`:
Origin

This is a copy

84% identical to continuous-learning — 44 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

arsenal-core/skills/continuous-learning/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Continuous Learning Skill

Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.

When to Activate

  • Setting up automatic pattern extraction from Claude Code sessions
  • Configuring the Stop hook for session evaluation
  • Reviewing or curating learned skills in ~/.claude/skills/learned/
  • Adjusting extraction thresholds or pattern categories
  • Comparing v1 (this) vs v2 (instinct-based) approaches

How It Works

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

  1. Session Evaluation: Checks if session has enough messages (default: 10+)
  2. Pattern Detection: Identifies extractable patterns from the session
  3. Skill Extraction: Saves useful patterns to ~/.claude/skills/learned/

Configuration

Edit config.json to customize:

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

Pattern Types

Pattern Description
error_resolution How specific errors were resolved
user_corrections Patterns from user corrections
workarounds Solutions to framework/library quirks
debugging_techniques Effective debugging approaches
project_specific Project-specific conventions

Hook Setup

Add to your ~/.claude/settings.json:

{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}

Why Stop Hook?

  • Lightweight: Runs once at session end
  • Non-blocking: Doesn't add latency to every message
  • Complete context: Has access to full session transcript

Read the full file on GitHub · 120 lines

Files

What ships with it

2 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 · 120 lines · 21 tokens per session scan B a058ebce9b21

Subscribe to this mod's changes

continuous-learning is a skill published in the GitHub repository KratosAR/claude-code-arsenal (2 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 884 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 84% identical to continuous-learning, differing in 44 lines, and is treated as a copy.

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