← 返回 Skills 市场
346
总下载
1
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install pafh-mini
功能描述
PAHF (Personalized Agents from Human Feedback) - Continual Personalization Framework. Triggered when applying the PAHF three-step loop: (1) Pre-action Clarif...
安全使用建议
This skill appears coherent with its personalization purpose, but take these precautions before enabling it: (1) Verify and inspect existing files in ~/.openclaw/workspace/memory/ (MEMORY.md, USER.md, IDENTITY.md) and remove any sensitive secrets—the skill claims it will not store passwords/tokens but cannot remove pre-existing sensitive data. (2) Confirm you are comfortable with automatic 'daily observation' logging; if not, avoid enabling persistent storage. (3) Restrict file-system permissions on the memory directory so only you and the agent process can read/write it. (4) Test with a non-sensitive 'sandbox' identity before using real personal data. (5) Periodically audit the change logs (MEMORY.md and memory/YYYY-MM-DD.md) to verify what was recorded.
功能分析
Type: OpenClaw Skill
Name: pafh-mini
Version: 1.0.2
The PAHF skill bundle implements a personalization framework for managing user preferences through local file storage (e.g., MEMORY.md, USER.md). It follows a structured three-step loop (clarification, action, and feedback) and includes explicit safeguards against storing sensitive information like passwords or API keys. The behavior is consistent with its stated purpose, and no indicators of data exfiltration, malicious execution, or unauthorized access were identified.
能力评估
Purpose & Capability
The name/description (PAHF personalization) align with the declared behaviors: reading/writing local preference memory files and using memory_search/memory_get. No unrelated binaries, cloud creds, or external endpoints are requested.
Instruction Scope
SKILL.md explicitly instructs reading/writing MEMORY.md, memory/YYYY-MM-DD.md, USER.md, and IDENTITY.md under the local workspace and logging changes. This is within the personalization scope. Note: some actions (daily observations) are defined to be recorded automatically without confirmation — the skill requires overall consent for persistent storage but retains discretion about what counts as a daily observation vs. a core preference; users should confirm they are comfortable with that automatic logging behavior.
Install Mechanism
Instruction-only skill with no install spec or external downloads; lowest install risk. The declared tool dependencies (memory_search, memory_get) are reasonable as optional helpers and fall back to direct file reads.
Credentials
No environment variables, credentials, or config paths outside the local memory files are requested. Access is limited to local preference and identity files, which is proportionate to the stated purpose.
Persistence & Privilege
The skill persistently writes to local memory files and is user-invocable with autonomous invocation allowed (platform default). always:false and consent: true are appropriate. Users should note that the skill is allowed to log 'daily observations' without per-event confirmation and will create/modify files under ~/.openclaw/workspace/memory/.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pafh-mini - 安装完成后，直接呼叫该 Skill 的名称或使用
/pafh-mini触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.2
PAHF-mini v1.0.2
- Added explicit privacy, consent, and write-confirmation policies to the skill manifest and documentation.
- Declared formal dependencies on `memory_search`, `memory_get`, and required memory file read/write permissions.
- Defined new writable memory locations, including user-specific preference files.
- Updated documentation to detail when and how user confirmation is requested before recording preferences.
- Outlined sensitive data handling: explicitly states that such data is never stored.
- No code changes; all enhancements are in metadata and documentation for clarity and consent management.
v1.0.1
**PAHF-mini v1.0.1 Changelog**
- Added a new reference document: `references/preference-schema.md` to clarify preference memory structure.
- Updated core framework description for broader use cases and clarity.
- Expanded details on memory file structure, preference retrieval, and change tracking.
- Enhanced examples for pre-action clarification, ambiguity handling, and preference drift adaptation.
- Emphasized best practices and highlighted integration with existing memory systems.
v1.0.0
PAHF Mini 1.0.0 初始发布
- 推出精简版 PAHF，实现个性化用户记忆管理
- 支持行动前澄清、行动后修正、偏好漂移自动检测
- 明确澄清条件与反馈处理，加入精简版用户记忆模板
- 内置与其他相关 skill 的协作说明
- 提供操作与实现检查清单方便快速接入
元数据
常见问题
PAFH-Memory 是什么？
PAHF (Personalized Agents from Human Feedback) - Continual Personalization Framework. Triggered when applying the PAHF three-step loop: (1) Pre-action Clarif... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 346 次。
如何安装 PAFH-Memory？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pafh-mini」即可一键安装，无需额外配置。
PAFH-Memory 是免费的吗？
是的，PAFH-Memory 完全免费（开源免费），可自由下载、安装和使用。
PAFH-Memory 支持哪些平台？
PAFH-Memory 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 PAFH-Memory？
由 Wenju Gao（@welkeyever）开发并维护，当前版本 v1.0.2。
推荐 Skills