Xpersona
agentCLAWHUBUnverified

Weekly Review

面向任意 AI Agent 自动复盘的 Skill（weekly-review / 复盘 / 提示词优化 / 会话清理）。 核心能力覆盖：AI 用量与时间看板、提示词复盘与改写建议、高效/低效归因、 时间分布与 Token/归因趋势图、开放会话对齐清理、定时自动周报。 当用户任务涉及周度复盘、用量查看、提示词改进... Skill: Weekly Review Owner: testman2025 Summary: 面向任意 AI Agent 自动复盘的 Skill（weekly-review / 复盘 / 提示词优化 / 会话清理）。 核心能力覆盖：AI 用量与时间看板、提示词复盘与改写建议、高效/低效归因、 时间分布与 Token/归因趋势图、开放会话对齐清理、定时自动周报。 当用户任务涉及周度复盘、用量查看、提示词改进... Tags: agent-agnostic:1.1.2, agent-fed:1.2.3, automation:1.1.0, latest:1.2.5, office:1.1.0, productivity:1.2.1, retrospective:1.2.3, weekly-review:1.2.3 Version history: v1.2.5 | 2026-07-24T03:31:39.454Z | user

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.2.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1K downloadsadoption · observed Oct 11, 2026
Latest release
1.2.5release · observed Jul 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17byqgfxb0xcxd564d2gh3yys84v9aa:weekly-review
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-testman2025-weekly-review/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

94,571 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: weekly-review
description: >
  面向任意 AI Agent 自动复盘的 Skill（weekly-review / 复盘 / 提示词优化 / 会话清理）。

  核心能力覆盖：AI 用量与时间看板、提示词复盘与改写建议、高效/低效归因、
  时间分布与 Token/归因趋势图、开放会话对齐清理、定时自动周报。

  当用户任务涉及周度复盘、用量查看、提示词改进时使用，包括但不限于：
  Token 花了多少、提示词优化改进、一周总结、工作复盘、复盘可视化报告、
  清理对话、AI 自动复盘。
version: 1.2.5
category: 办公效率
read_when:
  - 提示词改进
  - 本周 AI 用量看板
  - 高低效归因
  - 复盘可视化报告
  - 清理开放对话
  - 定时/自动周报
  - weekly-review / 复盘 / /weekly-review
metadata:
  openclaw:
    requires:
      bins:
        - python
    emoji: "📊"
    homepage: https://github.com/testman2025/weekly-review-skill
    os:
      - macos
      - linux
      - windows
---

# AI 用量与提示词复盘助手（weekly-review）

用来做：提示词改进、本周 AI 用量看板、高低效归因、复盘可视化图表、开放会话清理、定时/自动周报。宿主 Agent 采数，本 skill 按六章模板出报告。

## 输出结构（锁定）

1. **一页看板**：`| 指标 | 数值 | 口径说明 |` + **一句话结论** + 可选「辅助图表」PNG 路径  
2. **分项目分析**：`### 2.x 主题（时长/会话）` + `| 维度 | 内容 |`（做了什么 / DB cwd / 磁盘核对 / 低效 / 提示词）；其他用简表  
3. **问题清单 + 根因三类归因** + **做得好的（正面范本）**  
4. **本周动作台账 ★**：当场已改 / 观察 / 待落实（或待落实→执行结果）  
5. **待对齐开放会话**  
6. **自动化概览**  
7. **事实更正**（可选，有核对推翻时必写）

**图表约定**：渲染器生成两张定稿样式图——横向「时间投入分布」、双栏「低效归因 + Token 趋势」（SVG）。数据来自 `charts_data`。看板主表仍是 `| 指标 | 数值 | 口径说明 |`。

## 输入

见 `schema/review-input.example.json` 与 `schema/README.md`。

## 操作流程

1. 安装本 skill（见仓库根 README：`npx skills add` / ClawHub / clone）。  
2. Agent 采集会话/用量，**Glob/ls 核对磁盘**后再归因。  
3. 填 `review-input`（或对话等价结构）；需要图时先出 PNG 再填 `dashboard.charts`。  
4. 按六章输出，或 `python -m cli --input review-input.json -o YYYY-MM-DD周度复盘.md`。  
5. 对开放会话当场拍板。定时场景见仓库 `automations/`。

### CLI

```bash
cd {SKILL_DIR}
python -m cli --input schema/review-input.example.json -o 周度复盘.md
# 图表默认写到报告同目录；关闭：加 --no-charts
```

### MCP

工具 `run_weekly_review`，参数 `review_input`（对象）。

legacy/README.md

# Legacy（非公开主路径）

此处保留旧版「直接读 SQLite 会话库」分析器，仅供对照或迁移。

**公开能力请使用：**

1. Agent 按 `SKILL.md` 采集本平台数据  
2. 填入 `schema/review-input.example.json` 结构  
3. `python -m cli --input review-input.json -o report.md`

README.md

# AI 用量与提示词复盘助手（weekly-review）

面向任意 AI Agent 的自动复盘 Skill。

## 解决什么问题

1. 提升提示词表达能力  
2. 查看本周 AI 用量  
3. 总结工作低效与高效  
4. 复盘可视化图表（时间分布 / 归因 / Token）  
5. 清理/对齐开放对话  
6. AI 自动/定时周复盘  

## Install

```bash
npx skills add testman2025/weekly-review-skill --skill weekly-review
# or
openclaw skills install weekly-review
```

See the repo root [README](../../README.md).

## Output shape (locked)

1. Dashboard table (`指标 | 数值 | 口径说明`) + one-liner + optional chart paths  
2. Theme project sections with dimension tables (incl. disk verification)  
3. Problems + three-class root cause + positives  
4. Action ledger  
5. Open sessions  
6. Automations overview  
7. Fact corrections (optional)

## Render

```bash
python -m cli --input schema/review-input.example.json -o weekly-report.md
```

See `SKILL.md` and `schema/`.

schema/README.md

# review-input 约定

对齐定稿模板：`# YYYY-MM-DD 周度复盘（weekly-review skill · 六章结构）`。

Agent 采集事实后填本结构；skill 只渲染结构。**图表**用 `dashboard.charts` 引用已生成的 PNG 路径（辅助图表），不以 Mermaid 为主。

## 图表

渲染默认生成两张**定稿样式 SVG**（标准库）：

1. `chart-时间分布-*.svg` — 横向条形「本周时间投入分布」
2. `chart-归因Token-*.svg` — 左右双柱「低效条目归因」+「Token 消耗趋势」

数据优先读 `charts_data`：

```json
"charts_data": {
  "time_distribution": [{ "label": "社媒 Agent 主题", "hours": 15.4 }],
  "attribution": [{ "label": "【用户】指令模糊", "count": 3 }],
  "token_trend": [{ "label": "本周", "millions": 2.74 }]
}
```

报告用 `![...](path)` 嵌入。`--no-charts` 可关闭。


| 字段 | 说明 |
|------|------|
| `period` | `start` / `end`（必填） |
| `meta` | `title` / `methodology` / `version_note` / `task_split` |
| `source.note` | 数据来源一行说明 |
| `dashboard.metrics[]` | `{name,value,note}` 看板表 |
| `dashboard.summary` | 一句话结论 |
| `dashboard.charts[]` | 辅助图 PNG 相对路径 |
| `projects[]` | `{title, dimensions{做了什么,…}}` 主题分节 |
| `other_projects[]` | `{name,hours,note}` |
| `problems[]` / `positives[]` | 问题表 + 正面范本 |
| `actions` | `done` / `observing` / `pending` |
| `open_sessions[]` | 待对齐会话 |
| `automations.narrative` | 自动化概览（条目列表或长文） |
| `corrections*` | 可选第七章事实更正 |

完整示例：`review-input.example.json`。

_meta.json

{
  "ownerId": "kn71svn18t9cb73emms0vf78s984tb7p",
  "slug": "weekly-review",
  "version": "1.2.5",
  "publishedAt": 1784863899454
}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/testman2025/skills/weekly-review",
      "sourceUrl": "https://clawhub.ai/testman2025/skills/weekly-review",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-11T14:45:34.190Z",
      "isPublic": true
    },
    {
      "factKey": "protocols",
      "category": "compatibility",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-testman2025-weekly-review/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-testman2025-weekly-review/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-10-11T14:45:34.190Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
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      "sourceUrl": "https://clawhub.ai/testman2025/weekly-review",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-11T14:45:34.190Z",
      "isPublic": true
    },
    {
      "factKey": "latest_release",
      "category": "release",
      "label": "Latest release",
      "value": "1.2.5",
      "href": "https://clawhub.ai/testman2025/weekly-review",
      "sourceUrl": "https://clawhub.ai/testman2025/weekly-review",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-07-24T03:31:39.454Z",
      "isPublic": true
    },
    {
      "factKey": "handshake_status",
      "category": "security",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-testman2025-weekly-review/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-testman2025-weekly-review/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true
    }
  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 1.2.5",
      "description": "Discoverability: concise Chinese description for prompts, usage, charts, session cleanup, auto review; shorter read_when.",
      "href": "https://clawhub.ai/testman2025/weekly-review",
      "sourceUrl": "https://clawhub.ai/testman2025/weekly-review",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-07-24T03:31:39.454Z",
      "isPublic": true
    }
  ]
}

Record generated Oct 11, 2026.

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