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/codelably/harmony-claude-code/continuous-learning-v2npx skills add codelably/harmony-claude-code --skill continuous-learning-v2git clone --depth 1 https://github.com/codelably/harmony-claude-codeWhat 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 | $0.00033 | $0.02170 |
| Opus 5 | $0.00016 | $0.01085 |
| Sonnet 5 | $0.00007 | $0.00434 |
| Haiku 4.5 | $0.00003 | $0.00217 |
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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
新增到你的 `~/.claude/settings.json`: How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
持續學習 v2 - 基於本能的架構
進階學習系統,透過原子「本能」(帶信心評分的小型學習行為)將你的 Claude Code 工作階段轉化為可重用知識。
v2 的新功能
| 功能 | v1 | v2 |
|---|---|---|
| 觀察 | Stop hook(工作階段結束) | PreToolUse/PostToolUse(100% 可靠) |
| 分析 | 主要上下文 | 背景 agent(Haiku) |
| 粒度 | 完整技能 | 原子「本能」 |
| 信心 | 無 | 0.3-0.9 加權 |
| 演化 | 直接到技能 | 本能 → 聚類 → 技能/指令/agent |
| 分享 | 無 | 匯出/匯入本能 |
本能模型
本能是一個小型學習行為:
---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
---
# 偏好函式風格
## 動作
適當時使用函式模式而非類別。
## 證據
- 觀察到 5 次函式模式偏好
- 使用者在 2025-01-15 將基於類別的方法修正為函式
屬性:
- 原子性 — 一個觸發器,一個動作
- 信心加權 — 0.3 = 試探性,0.9 = 近乎確定
- 領域標記 — code-style、testing、git、debugging、workflow 等
- 證據支持 — 追蹤建立它的觀察
運作方式
工作階段活動
│
│ Hooks 捕獲提示 + 工具使用(100% 可靠)
▼
┌─────────────────────────────────────────┐
│ observations.jsonl │
│ (提示、工具呼叫、結果) │
└─────────────────────────────────────────┘
│
│ Observer agent 讀取(背景、Haiku)
▼
┌─────────────────────────────────────────┐
│ 模式偵測 │
│ • 使用者修正 → 本能 │
│ • 錯誤解決 → 本能 │
│ • 重複工作流程 → 本能 │
└─────────────────────────────────────────┘
│
│ 建立/更新
▼
┌─────────────────────────────────────────┐
│ instincts/personal/ │
│ • prefer-functional.md (0.7) │
│ • always-test-first.md (0.9) │
│ • use-zod-validation.md (0.6) │
└─────────────────────────────────────────┘
│
│ /evolve 聚類
▼
┌─────────────────────────────────────────┐
│ evolved/ │
│ • commands/new-feature.md │
│ • skills/testing-workflow.md │
│ • agents/refactor-specialist.md │
└─────────────────────────────────────────┘
快速開始
1. 啟用觀察 Hooks
新增到你的 ~/.claude/settings.json:
{
"hooks": {
"PreToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh pre"
}]
}],
"PostToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh post"
}]
}]
}
}
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.
- 2d ago First seen · 258 lines · 33 tokens per session scan B 096a6d56e1cf
continuous-learning-v2 is a skill published in the GitHub repository codelably/harmony-claude-code (42 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,170 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.