Capability Growth

Tracks and grows agent capabilities over time

Security Scan

The skill's code and instructions match its stated purpose (local analysis of session logs); it reads and scores local text logs but does not request credentials, install external software, or contact remote endpoints.

Purpose & Capability

Name/description (track capability growth via session logs) align with the provided code and SKILL.md. The code implements local log discovery, parsing, scoring, and report generation — all appropriate for the stated goal.

Instruction Scope

Runtime instructions and growth_engine.js instruct the agent to read and analyze a directory of log files (markdown, txt, log). Reading user-provided logs is expected for this skill, but that means the skill will process any content inside the supplied directory (which may include sensitive entries). The instructions do not attempt to read unrelated system config or env vars.

Install Mechanism

No install spec or remote downloads; this is an instruction-only skill bundled with local JS code. Nothing is fetched from external URLs during install, so installation risk is low.

Credentials

The skill declares no required environment variables, credentials, or config paths. The code operates solely on files under the user-supplied logs directory; it does not request tokens, keys, or other secrets.

Persistence & Privilege

The skill is not always-enabled and uses normal model invocation. The provided code reads files and generates reports but does not modify other skills, system-wide settings, or persist credentials. There are no writes or network calls in the visible code.

Assessment

This skill appears to do what it says: read and analyze text logs in a directory you point it at. Before running: (1) run it on a small, non-sensitive directory first to confirm output; (2) review the included growth_engine.js if you have sensitive data concerns — it recursively reads .md/.txt/.log files (up to 5MB each) and could process any text you provide; (3) avoid pointing it at system or home directories that contain secrets (tokens, private keys, credentials); (4) there's no network exfiltration in the visible code, but if you modify or extend the skill, re-check for outgoing requests. If you want stricter safety, run it inside a sandboxed environment or on a copy of your logs with secrets redacted.

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