원클릭으로
complexity-scorer
Score task complexity using keyword matching, heuristic analysis, and configurable threshold rules
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Score task complexity using keyword matching, heuristic analysis, and configurable threshold rules
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | complexity-scorer |
| version | 1.0.0 |
| description | Score task complexity using keyword matching, heuristic analysis, and configurable threshold rules |
| author | workspace-hub |
| category | _core |
| tags | ["bash","complexity","scoring","keywords","analysis","classification"] |
| platforms | ["linux","macos"] |
| see_also | ["complexity-scorer-1-keyword-based-scoring","complexity-scorer-3-context-aware-scoring","complexity-scorer-5-confidence-scoring","complexity-scorer-best-practices"] |
✅ Use when:
❌ Avoid when:
#!/bin/bash
# ABOUTME: Complete task complexity scoring system
# ABOUTME: Multi-factor scoring with recommendations
set -e
# ─────────────────────────────────────────────────────────────────
# Configuration
# ─────────────────────────────────────────────────────────────────
# Colors
GREEN='\033[0;32m'
BLUE='\033[0;34m'
YELLOW='\033[1;33m'
CYAN='\033[0;36m'
RED='\033[0;31m'
NC='\033[0m'
# Keyword patterns
OPUS_KEYWORDS="architecture|refactor|design|security|complex|multi-file|algorithm|optimization|strategy|planning|cross-repository|performance|migration"
SONNET_KEYWORDS="implement|feature|bug|fix|code review|documentation|test|update|add|create|build"
HAIKU_KEYWORDS="check|status|simple|quick|template|list|grep|find|search|summary|validation|exists|show|display"
# Repository tiers
*See sub-skills for full details.*
## Resources
- [Regular Expressions in Bash](https://mywiki.wooledge.org/RegularExpression)
- [Pattern Matching](https://www.gnu.org/software/bash/manual/html_node/Pattern-Matching.html)
---
## Version History
- **1.0.0** (2026-01-14): Initial release - extracted from workspace-hub suggest_model.sh
## Sub-Skills
- [1. Keyword-Based Scoring (+1)](1-keyword-based-scoring/SKILL.md)
- [3. Context-Aware Scoring (+1)](3-context-aware-scoring/SKILL.md)
- [5. Confidence Scoring (+1)](5-confidence-scoring/SKILL.md)
- [Best Practices](best-practices/SKILL.md)
Class-level Gmail and email operations: multi-account setup, OAuth, triage, extraction, archiving, attachments, unsubscribe, and touchbase workflows.
Conventions for creating consistent Mermaid diagrams including decision node layout, edge ordering, and flowchart direction rules.
Generate interactive validation reports with quality scoring, missing data analysis, and type checking. Combines Pandas validation, Plotly visualization, and YAML configuration for comprehensive data quality reporting.
Class-level Hermes local configuration and setup workflows, including config audit gotchas and Windows installation.
Guide AI model selection based on task complexity, cost constraints, and latency requirements
Sub-skill of modular-architecture-documentation: 1. Module Definition Framework (+9).