continuous-learning

continuous-learning is a skill for Claude Code from unrealandychan/clean-code-skill. It costs 68 tokens per session (1,070 once invoked), scanned B, a copy of continuous-learning, MIT.

A deprecated system that evaluates a Claude Code session when it ends and extracts reusable patterns as learned skills. It is kept for older installations; the newer continuous-learning-v2 uses smaller instincts and project-scoped storage.

In plain words
What is it for?
Use it only when you specifically need the older stop-hook workflow or compatibility with existing learned skills. New installations should use the newer version.
Why use it?
It preserves compatibility with older learned-skill workflows while making clear that a newer replacement exists. It helps retain useful session lessons instead of losing them.

Skill for Claude Code

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

Good fit Use it only when you specifically need the older stop-hook workflow or compatibility with existing learned skills. New installations should use the newer version.

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

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 continuous-learning

README.md
[![agentmods](https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/continuous-learning/github.svg)](https://agentmods.dev/skills/unrealandychan/clean-code-skill/continuous-learning)
Your own site
<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/continuous-learning"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/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/unrealandychan/clean-code-skill/continuous-learning"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/continuous-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,070 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 $0.00068 $0.01070
Opus 5.5 $0.00027 $0.00428
Sonnet 5.5 $0.00014 $0.00214
Haiku 4.5 $0.00007 $0.00107

Measured 1mo ago against content hash d494867b4569, 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 — 29 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.

skills/ecc/continuous-learning/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Continuous Learning Skill - DEPRECATED

DEPRECATED 2026-04-28. Use continuous-learning-v2 instead. v2 is a strict superset: stop-hook observation becomes PreToolUse/PostToolUse observation, full skills become atomic instincts with confidence scoring, and global-only storage becomes project-scoped plus global promotion.

This file is kept for archival reference and backward compatibility with existing installs.


Original v1 Documentation (archival)

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

Status

This v1 skill is still supported, but continuous-learning-v2 is the preferred path for new installs. Keep v1 when you explicitly want the simpler Stop-hook extraction flow or need compatibility with older learned-skill workflows.

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

Read the full file on GitHub · 133 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 · 133 lines · 68 tokens per session scan B d494867b4569

Subscribe to this mod's changes

continuous-learning is a skill published in the GitHub repository unrealandychan/clean-code-skill (12 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,070 once invoked, about $0.0003 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 29 lines, and is treated as a copy.

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