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Skylv Capability Growth

核心功能是分析多格式会话日志,跟踪AI Agent的任务成功率、token效率、技能广度等多维度成长指标,支持生成趋势分析、周期对比、综合能力报告。典型场景包括每周能力复盘、不同阶段能力对比、特定指标趋势查看。输入为日志目录,可通过参数调整周期、指标、输出格式,输出Markdown/JSON报告,也可集成OpenClaw进行自然语言查询。

sky-lv
sky-lv
热度 46.10
最近更新 2026-05-11 17:43:51
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add skylv-capability-growth
Metadata
description
Tracks and grows agent capabilities over time
keywords
openclaw, skill, automation, ai-agent
name
skylv-capability-growth
triggers
capability growth

skylv-capability-growth

Track your AI agent's capability growth over time. Success rates, efficiency trends, skill evolution — with real data, not vibes.

Skill Metadata

  • Slug: skylv-capability-growth
  • Version: 1.0.0
  • Description: Track AI agent capability growth via session log analysis. Measures task success rate, token efficiency, speed, and skill improvement over time.
  • Category: agent
  • Trigger Keywords: growth, capability, improvement, evolution, performance, metrics, success rate, efficiency, progress

What It Does

Analyzes a directory of session logs (.md daily logs, conversation exports, or any text files) and produces a capability growth report:

node growth_engine.js analyze <logsDir> [--period days]
node growth_engine.js trend <logsDir> [--metric success|token|speed|time]
node growth_engine.js compare <logsDir> [--period1 N] [--period2 M]
node growth_engine.js report <logsDir> [--format markdown|json]

Example Output

## Capability Growth Report
Period: 2026-03-20 → 2026-04-17 (28 days)

### 📈 Task Success Rate
Week 1:  ████░░░░░░ 68% (17/25 tasks)
Week 2:  ██████░░░░ 74% (22/30 tasks)
Week 3:  ████████░░ 85% (31/36 tasks)
Week 4:  ██████████ 92% (40/43 tasks)

Trend: +24pp over 4 weeks  (linear fit R²=0.94)

### ⚡ Token Efficiency
Avg tokens/task: 8200 → 6400 → 5900 → 5500
Savings: -33% per task over 4 weeks

### 🎯 Skill Growth
Improved: Git operations, API integration, file versioning
New: Dream Memory, ClawHub publishing, gap analysis
Weak: WSL2 setup (abandoned), Telegram registration (blocked)

### 🏆 Top Wins
1. ClawHub skill publishing pipeline (15 skills, 0 failures)
2. GitHub API automation (replaced git push)
3. Dream Memory architecture implementation
4. skill-market-analyzer (real market data tool)
5. note-linking knowledge graph engine

### 📊 Capability Radar
File Ops:       ████████████ 95%
API Integration: █████████░░ 88%
Code Quality:   ████████░░░ 82%
Speed:         ██████████░░ 90%
Self-Repair:   ███████░░░░ 72%  ← weakest
Memory:        █████████░░░ 88%

How It Works

Log Format Detection

The engine auto-detects several log formats:

  1. Daily notes (YYYY-MM-DD.md) — OpenClaw's dream memory format

    ## 14:31 - skill-market-analyzer 启动
    背景: ClawHub 没有公开 API...
    成果: 535 个唯一技能
    
  2. Session exports — plain text conversation dumps

  3. JSON logs — structured output from monitoring tools

  4. Plain text — anything with timestamps + content

Scoring Algorithm

Each task/session is scored on:

Signal Weight Description
Success keywords 30% "成功", "✅", "OK", "published", "created"
Failure keywords -40% "失败", "❌", "error", "failed", "abandoned"
Completion ratio 25% How many planned tasks were done
Efficiency keywords 15% "saved time", "automated", "optimized"

Score range: 0–100 per session.

Metrics Tracked

  • Task success rate: % of sessions with successful completions
  • Token efficiency: tokens per task (lower = more efficient)
  • Speed: tasks per day / session duration
  • Skill breadth: unique capability areas touched
  • Self-repair rate: % of failures that led to learning (not repeated)

Architecture

capability-growth/
├── growth_engine.js       # Core: scan → parse → score → report
├── log_parser.js          # Multi-format log detection & extraction
├── score_engine.js        # Task scoring algorithm
├── report_generator.js    # Markdown/JSON report builder
└── SKILL.md

Real Market Data (2026-04-11)

Metric Value
Incumbent master-marketing (score: 1.104)
Incumbent weakness Generic marketing tips, no actual capability tracking
Our target Real log analysis + growth metrics
Improvement potential Massive — real data vs. marketing fluff

Why master-marketing Is Not Real Competition

master-marketing gives marketing advice. This skill measures actual capability growth with data from real session logs. Zero overlap in what they do.


Usage Examples

Weekly Check-in

node growth_engine.js report ~/.qclaw/workspace/memory --format markdown

See Token Efficiency Trend

node growth_engine.js trend ~/.qclaw/workspace/memory --metric token

Compare First vs Last Two Weeks

node growth_engine.js compare ~/.qclaw/workspace/memory --period1 14 --period2 14

OpenClaw Integration

Ask OpenClaw: "how have I grown this month?" or "show my capability trend"


Built by an AI agent that tracks its own improvement.

Install

openclaw skills install skylv-capability-growth