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.
npx agentmods add skills/znlnzi/claude-config-studio/continuous-learningnpx skills add znlnzi/claude-config-studio --skill continuous-learninggit clone --depth 1 https://github.com/znlnzi/claude-config-studioWrote 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.
[](https://agentmods.dev/skills/znlnzi/claude-config-studio/continuous-learning)<a href="https://agentmods.dev/skills/znlnzi/claude-config-studio/continuous-learning"><img src="https://agentmods.dev/badge/skills/znlnzi/claude-config-studio/continuous-learning.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00292 |
| Opus 5 | $0.00007 | $0.00146 |
| Sonnet 5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
continuous-learning 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 5d 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.
What it actually says
持续学习技能
学习触发条件
以下情况自动触发学习记录：
- 解决了一个非平凡的 Bug
- 发现了库的未文档化行为
- 找到了更好的实现方式
- 遇到了环境特定的问题
学习记录格式
模式名称
简短描述这个模式
问题
遇到了什么问题
根本原因
为什么会出现这个问题
解决方案
如何解决的
预防措施
如何避免再次发生
置信度
- 高: 多次验证过
- 中: 验证过一次
- 低: 理论推导
知识管理
存储
- 保存到 .claude/learnings/ 目录
- 按主题分文件
回顾
- 新会话开始时加载相关学习记录
- 遇到相似问题时引用历史经验
更新
- 定期验证已有记录的准确性
- 删除过时或错误的记录
- 合并重复的记录
质量过滤
排除以下内容：
- 拼写错误修复
- 一次性环境问题
- 第三方临时故障
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.
- 5d ago First seen · 59 lines · 14 tokens per session scan A abc7bf2f7b56
continuous-learning is a skill published in the GitHub repository znlnzi/claude-config-studio (0 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 292 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
research-wiki
Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says "知识库", "research wiki", "add paper", "wiki query", "查知识库", or wants to build/query a persistent field map.
archive
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory for MiniMax Code. Recall durable context, store important facts and decisions, and link related memories with the mnemon CLI.
mnemon
Persistent memory CLI for Hermes Agent. Store facts, recall past knowledge, link related memories, manage lifecycle.