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 skills add hashgraph-online/awesome-codex-plugins --skill continuous-learning-v2git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/continuous-learning-v2)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/continuous-learning-v2"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/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.
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/continuous-learning-v2"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/continuous-learning-v2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01256 |
| Opus 5 | $0.00030 | $0.00628 |
| Sonnet 5 | $0.00012 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00126 |
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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuous Learning v2.1 - Instinct-Based Architecture
一个高级学习系统，通过 atomic "instincts" 将 Claude Code 会话转化为可重用知识。
v2.1 增加 项目级 instincts — React 模式保留在 React 项目中，Python 约定保留在 Python 项目中，通用模式（如"始终验证输入"）全局共享。
何时激活
- 设置从 Claude Code 会话自动学习
- 配置基于 hooks 的行为提取
- 调优学习行为的置信度阈值
- 审查、导出或导入 instinct 库
- 将 instincts 演进为完整 skills、commands 或 agents
- 管理项目级 vs 全局 instincts
- 将 instincts 从项目级提升到全局级
Instinct 模型
一个 instinct 是一个小的学习行为：
---
id: prefer-component-colocation
trigger: "当多个组件使用相同状态时"
confidence: 0.7
domain: "frontend-architecture"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "points-frontend"
---
# 组件状态共置
## 行为
当多个组件使用相同状态时，考虑将状态提升到共同祖先。
## 证据
- 在 5 个实例中观察到状态提升模式
- 用户在 2026-03-29 将组件本地状态改为共享状态
属性:
- Atomic -- 一个 trigger，一个 action
- Confidence-weighted -- 0.3 = 试探性，0.9 = 几乎确定
- Domain-tagged -- code-style, testing, git, debugging, workflow 等
- Evidence-backed -- 跟踪创建它的观察
- Scope-aware --
project（默认）或global
存储结构
~/.claude/homunculus/
+-- projects.json # 项目注册表: hash -> name/path
+-- observations.jsonl # 全局观察（fallback）
+-- instincts/
| +-- personal/ # 全局自动学习的 instincts
| +-- inherited/ # 全局导入的 instincts
+-- evolved/
| +-- agents/ # 全局生成的 agents
| +-- skills/ # 全局生成的 skills
| +-- commands/ # 全局生成的 commands
+-- projects/
+-- a1b2c3d4e5f6/ # 项目 hash（来自 git remote URL）
+-- project.json # 项目元数据
+-- observations.jsonl
+-- instincts/
| +-- personal/ # 项目特定自动学习
| +-- inherited/ # 项目特定导入
+-- evolved/
+-- skills/
+-- commands/
+-- agents/
项目检测
系统自动检测当前项目：
CLAUDE_PROJECT_DIRenv var（最高优先级）git remote get-url origin-- hash 生成项目 IDgit rev-parse --show-toplevel-- fallback- 全局 fallback -- 如果未检测到项目，instincts 进入全局范围
置信度评分
| 分数 | 含义 | 行为 |
|---|---|---|
| 0.3 | 试探性 | 建议但不强制 |
| 0.5 | 中等 | 相关时应用 |
| 0.7 | 强 | 自动批准应用 |
| 0.9 | 几乎确定 | 核心行为 |
What ships with it
10 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.
- agents/observer-loop.sh 7.6 KB runs code
- agents/observer.md 7.2 KB
- agents/openai.yaml 279 B
- agents/session-guardian.sh 6.2 KB runs code
- agents/start-observer.sh 7.3 KB runs code
- config.json 135 B
- hooks/observe.sh 15 KB runs code
- scripts/detect-project.sh 7.6 KB runs code
- scripts/instinct-cli.py 58 KB runs code
- scripts/test_parse_instinct.py 32 KB runs code
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.
- 3d ago First seen · 141 lines · 61 tokens per session scan A 9a4af32c7f51
continuous-learning is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (956 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 1,256 once invoked, about $0.0003 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 2026-09-05.
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