Unnamed Skill
MECW theory and patterns for hallucination prevention via context management. Implements 50% rule.Triggers: MECW, context window, hallucination, 50% rule, context pressureUse when: implementing context-aware systems or monitoring context pressure
$ 安裝
git clone https://github.com/athola/claude-night-market /tmp/claude-night-market && cp -r /tmp/claude-night-market/plugins/leyline/skills/mecw-patterns ~/.claude/skills/claude-night-market// tip: Run this command in your terminal to install the skill
name: mecw-patterns description: |
Triggers: context-management, patterns, token-optimization, thresholds, mecw MECW theory and patterns for hallucination prevention via context management. Implements 50% rule.
Triggers: MECW, context window, hallucination, 50% rule, context pressure Use when: implementing context-aware systems or monitoring context pressure category: infrastructure tags: [context-management, mecw, hallucination-prevention, token-optimization, thresholds] dependencies: [] tools: [mecw-monitor, context-tracker] provides: infrastructure: [context-monitoring, mecw-compliance, pressure-calculation] patterns: [context-optimization, safe-budgeting, hallucination-prevention] usage_patterns:
- context-window-management
- hallucination-prevention
- token-budget-planning
- pressure-monitoring complexity: intermediate estimated_tokens: 350 progressive_loading: true modules:
- modules/mecw-theory.md
- modules/monitoring-patterns.md
- modules/prevention-strategies.md reusable_by: [conserve, abstract, conjure, spec-kit, sanctum, imbue]
Table of Contents
- Overview
- When to Use
- Core Principle: The 50% Rule
- Pressure Levels
- Quick Start
- Basic Pressure Check
- Full Compliance Check
- Continuous Monitoring
- Detailed Topics
- Best Practices
- Integration with Other Skills
- Exit Criteria
MECW Patterns
Overview
Maximum Effective Context Window (MECW) patterns provide the theoretical foundations and practical utilities for managing context window usage to prevent hallucinations. The core principle: Never use more than 50% of total context window for input content.
When to Use
- Need to prevent hallucinations in long-running sessions
- Managing context-heavy workflows
- Building systems that process large amounts of data
- Want proactive context pressure monitoring
- Require safe token budget calculation
Core Principle: The 50% Rule
Context pressure increases non-linearly as usage approaches limits. Exceeding 50% of context window significantly increases hallucination risk.
Pressure Levels
| Level | Usage | Effect | Action |
|---|---|---|---|
| LOW | <30% | Optimal performance, high accuracy | Continue normally |
| MODERATE | 30-50% | Good performance, within MECW | Monitor closely |
| HIGH | 50-70% | Degraded performance, risk zone | Optimize immediately |
| CRITICAL | >70% | Severe degradation, high hallucination | Reset context |
Quick Start
Basic Pressure Check
from leyline import calculate_context_pressure
pressure = calculate_context_pressure(
current_tokens=80000,
max_tokens=200000
)
print(pressure) # "MODERATE"
Verification: Run the command with --help flag to verify availability.
Full Compliance Check
from leyline import check_mecw_compliance
result = check_mecw_compliance(
current_tokens=120000,
max_tokens=200000
)
if not result['compliant']:
print(f"Overage: {result['overage']:,} tokens")
print(f"Action: {result['action']}")
Verification: Run the command with --help flag to verify availability.
Continuous Monitoring
from leyline import MECWMonitor
monitor = MECWMonitor(max_context=200000)
# Track usage throughout session
monitor.track_usage(80000)
status = monitor.get_status()
if status.warnings:
for warning in status.warnings:
print(f"[WARN] {warning}")
if status.recommendations:
print("\nRecommended actions:")
for rec in status.recommendations:
print(f" • {rec}")
Verification: Run the command with --help flag to verify availability.
Detailed Topics
For detailed implementation patterns:
- MECW Theory - Theoretical foundations, research basis, thresholds
- Monitoring Patterns - Integration patterns, quota management, token estimation
- Prevention Strategies - Early detection, compression, delegation, progressive disclosure
Best Practices
- Plan for 40%: Design workflows to use ~40% of context, leaving buffer
- Buffer for Response: Leave 50% for model reasoning + response generation
- Monitor Continuously: Check context at each major step
- Fail Fast: Abort and restructure when approaching limits
- Document Aggressively: Keep summaries for context recovery after reset
Integration with Other Skills
This skill provides foundational utilities referenced by:
conserve:context-optimization- Uses MECW for optimization decisionsconjure:delegation-core- Uses MECW for delegation triggers- Plugin authors building context-aware systems
Reference in your skill's frontmatter:
dependencies: [leyline:mecw-patterns]
Verification: Run the command with --help flag to verify availability.
Exit Criteria
- Context pressure monitored before major operations
- MECW compliance checked when loading large content
- Safe budget calculated before batch operations
- Recommendations followed when warnings issued
- Context reset triggered before CRITICAL threshold
Troubleshooting
Common Issues
Command not found Ensure all dependencies are installed and in PATH
Permission errors Check file permissions and run with appropriate privileges
Unexpected behavior
Enable verbose logging with --verbose flag
Repository
