continuous-learning-v2

continuous-learning-v2 is a skill for Claude Code, Codex from khanhhuyenngo985-sys/character-scene-design-skills. It costs 48 tokens per session (2,979 once invoked), scanned B, original, no licence file.

A session-learning system that watches work through hooks, records small reusable lessons with confidence scores, and develops them into skills, commands, or agents. Its project-specific lessons help keep knowledge from one codebase separate from another.

In plain words
What is it for?
Use it to capture recurring working patterns, refine them over time, and turn them into reusable automation.
Why use it?
It reduces repeated explanations and helps the agent reuse lessons learned without mixing rules between projects.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to capture recurring working patterns, refine them over time, and turn them into reusable automation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2
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 khanhhuyenngo985-sys/character-scene-design-skills --skill continuous-learning-v2
Clone the repo
git clone --depth 1 https://github.com/khanhhuyenngo985-sys/character-scene-design-skills

Made for: Claude Code, Codex.

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-v2

README.md
[![agentmods](https://agentmods.dev/badge/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2/github.svg)](https://agentmods.dev/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2)
Your own site
<a href="https://agentmods.dev/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2"><img src="https://agentmods.dev/badge/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2/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-v2

Your own site · 80×15
<a href="https://agentmods.dev/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2"><img src="https://agentmods.dev/badge/skills/khanhhuyenngo985-sys/character-scene-design-skills/continuous-learning-v2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,979 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 unknown 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 $0.00048 $0.02979
Opus 5 $0.00024 $0.01489
Sonnet 5 $0.00010 $0.00596
Haiku 4.5 $0.00005 $0.00298

Measured 12d ago against content hash 7629ed1a18ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

continuous-learning-v2 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 12d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (agents/observer-loop.sh, agents/session-guardian.sh, agents/start-observer.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`.
skills/.archive/ECC-codegen/continuous-learning-v2/SKILL.md · 366 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 12d ago First seen · 366 lines · 48 tokens per session scan B 7629ed1a18ce

Subscribe to this mod's changes

continuous-learning-v2 is a skill published in the GitHub repository khanhhuyenngo985-sys/character-scene-design-skills (10 stars, last pushed 3mo ago), with no licence file. It adds 48 tokens to every session and 2,979 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

d-data-analysis-semantic-layer

A controlled workflow for saving verified, user-approved analysis results into a versioned knowledge layer, a collection of records that can be reviewed and updated over time.

62656456/ai-film-skills · 125 tokens

comfyui-minimax-h3-studio

A maintenance-oriented set of ComfyUI nodes for MiniMax H3 image workflows. ComfyUI is a visual tool for connecting AI image-generation steps; these nodes cover model routing, reference conditions, sampling, frame selection, VAE processing, and prompt tools.

AvalonLee/AstraCraft-Program · 0 tokens

higgsfield-recall

Use this skill AUTOMATICALLY before writing any Higgsfield prompt. Query the memory databases for relevant past failures and pre-apply known fixes before the user even hits generate. Triggers include: any request to write a Higgsfield prompt, any use of the higgsfield-prompt skill, any mention of generating a video or…

OSideMedia/higgsfield-ai-prompt-skill · 121 tokens

distill-feedback

A process for turning corrections you give an agent into lasting working rules. It reviews saved conversations and asks for approval before changing those rules.

AnastasiyaW/codex-claude-code-config · 146 tokens

design-system-capture

Write and maintain DESIGN.md + PRODUCT.md — captures visual decisions and interaction patterns so design tasks stay consistent across sessions without re-scanning past work.

event4u-app/agent-config · 34 tokens

knowledge-base

Retrieves and updates project-specific prompt knowledge from comparison evidence and user feedback. Use only for prompt analysis or post-comparison learning within a Rashomon evaluation.

shinpr/rashomon · 34 tokens