MCPInstall

quality-gates

Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yonatangross/orchestkit --skill quality-gates
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads quality-gates automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Quality Gates

This skill teaches agents how to assess task complexity, enforce quality gates, and prevent wasted work on incomplete or poorly-defined tasks.

Key Principle: Stop and clarify before proceeding with incomplete information. Better to ask questions than to waste cycles on the wrong solution.


Overview

Auto-Activate Triggers

  • Receiving a new task assignment
  • Starting a complex feature implementation
  • Before allocating work in Squad mode
  • When requirements seem unclear or incomplete
  • After 3 failed attempts at the same task
  • When blocked by dependencies

Manual Activation

  • User asks for complexity assessment
  • Planning a multi-step project
  • Before committing to a timeline

Core Concepts

Complexity Scoring (1-5 Scale)

LevelFilesLinesTimeCharacteristics
1 - Trivial1< 50< 30 minNo deps, no unknowns
2 - Simple1-350-20030 min - 2 hr0-1 deps, minimal unknowns
3 - Moderate3-10200-5002-8 hr2-3 deps, some unknowns
4 - Complex10-25500-15008-24 hr4-6 deps, significant unknowns
5 - Very Complex25+1500+24+ hr7+ deps, many unknowns

The table above is the canonical rubric. Score with max(file_count, LOC, dependency_count, unknowns), not an average: one Level 5 axis makes the task Level 5. Run scripts/assess-complexity.md or scripts/analyze-codebase.sh <target> to measure the inputs.

Blocking Thresholds

ConditionThresholdAction
YAGNI GateJustified ratio > 2.0BLOCK with simpler alternatives
YAGNI WarningJustified ratio 1.5-2.0WARN with simpler alternatives
Critical Questions> 3 unansweredBLOCK
Missing DependenciesAny blockingBLOCK
Failed Attempts>= 3BLOCK & ESCALATE
Evidence Failure2 fix attemptsBLOCK
Complexity OverflowLevel 4-5 no planBLOCK

WARNING Conditions (proceed with caution):

  • Level 3 complexity
  • 1-2 unanswered questions
  • 1-2 failed attempts

The escalation protocol and gate decision logic are both in "Quick Reference" below. The YAGNI ratio, tier LOC budgets, and simpler-alternative surfacing live in rules/yagni-gate.md.


References

Load on demand with Read("references/<file>"):

FileContent
ork-delta.mdOrchestKit-specific scars and house decisions: line-counting correctness, fail-open policy, gate self-monitoring, non-bypassable categories
unified-scoring-framework.mdCanonical 0-10 dimensions, weights, grade thresholds, improvement prioritization. Also loaded by ork:assess and ork:verify

Upstream coverage (do not restate)

This skill wraps generic quality-gate practice and keeps only the OrchestKit delta. When one of these topics comes up, go to the source instead of re-teaching it here.

TopicSource
Complexity 1-5 rubric, per-level examples, assessment formula"Complexity Scoring" table above, canonical
BLOCKING vs WARNING conditions, escalation protocol, attempt tracking"Blocking Thresholds" and "Quick Reference" above, canonical
YAGNI ratio, project tier LOC budgets, simpler alternativesrules/yagni-gate.md + ork:scope-appropriate-architecture
Score dimensions, weights, grade thresholdsreferences/unified-scoring-framework.md
LLM-as-judge, G-Eval, aspect scoring, metric APIsork:testing-llm
Requirements completeness, acceptance criteria templatesork:write-prd
Test standards enforced as part of a gateork:architecture-patterns
Repo metrics for a gate input (files, LOC, tests, churn)scripts/analyze-codebase.sh in this skill
LangGraph conditional routing for a gate nodehttps://langchain-ai.github.io/langgraph/
FastAPI error responses for a failed gatehttps://fastapi.tiangolo.com/tutorial/handling-errors/
Pydantic validators for gate output schemashttps://docs.pydantic.dev/latest/concepts/validators/
Retry with exponential backoff, SLO-based alerting on gateshttps://sre.google/workbook/alerting-on-slos/

Quick Reference

Gate Decision Flow

0. YAGNI check (runs FIRST — before any implementation planning)
   → Read project tier from scope-appropriate-architecture
   → Calculate justified_complexity = planned_LOC / tier_appropriate_LOC
   → If ratio > 2.0: BLOCK (must simplify)
   → If ratio 1.5-2.0: WARN (present simpler alternative)
   → Security patterns exempt from YAGNI gate

1. Assess complexity (1-5)
2. Count critical questions unanswered
3. Check dependencies blocked
4. Check attempt count

if (yagni_ratio > 2.0) -> BLOCK with simpler alternatives
else if (questions > 3 || deps blocked || attempts >= 3) -> BLOCK
else if (complexity >= 4 && no plan) -> BLOCK
else if (yagni_ratio > 1.5 || complexity == 3 || questions 1-2) -> WARNING
else -> PASS

Gate Check Template

## Quality Gate: [Task Name]

**Complexity:** Level [1-5]
**Unanswered Critical Questions:** [Count]
**Blocked Dependencies:** [List or None]
**Failed Attempts:** [Count]

**Status:** PASS / WARNING / BLOCKED
**Can Proceed:** Yes / No

Escalation Template

## Escalation: Task Blocked

**Task:** [Description]
**Block Type:** [Critical Questions / Dependencies / Stuck / Evidence]
**Attempts:** [Count]

### What Was Tried
1. [Approach 1] - Failed: [Reason]
2. [Approach 2] - Failed: [Reason]

### Need Guidance On
- [Specific question]

**Recommendation:** [Suggested action]

Integration with Context System

// Add gate check to context
context.quality_gates = context.quality_gates || [];
context.quality_gates.push({
  task_id: taskId,
  timestamp: new Date().toISOString(),
  complexity_score: 3,
  gate_status: 'pass', // pass, warning, blocked
  critical_questions_count: 1,
  unanswered_questions: 1,
  dependencies_blocked: 0,
  attempt_count: 0,
  can_proceed: true
});

Integration with Evidence System

// Before marking task complete
const evidence = context.quality_evidence;
const hasPassingEvidence = (
  evidence?.tests?.exit_code === 0 ||
  evidence?.build?.exit_code === 0
);

if (!hasPassingEvidence) {
  return { gate_status: 'blocked', reason: 'no_passing_evidence' };
}

Best Practices Pattern Library

Track success/failure patterns across projects to prevent repeating mistakes and proactively warn during code reviews.

RuleFileKey Pattern
YAGNI Gaterules/yagni-gate.mdPre-implementation scope check, justified complexity ratio, simpler alternatives
Pattern Libraryrules/practices-code-standards.mdSuccess/failure tracking, confidence scoring, memory integration
Review Checklistrules/practices-review-checklist.mdCategory-based review, proactive anti-pattern detection

Pattern Confidence Levels

LevelMeaningAction
Strong success3+ projects, 100% successAlways recommend
Mixed resultsBoth successes and failuresContext-dependent
Strong anti-pattern3+ projects, all failedBlock with explanation

Common Pitfalls

PitfallProblemSolution
Skip gates for "simple" tasksGet stuck laterAlways run gate check
Ignore WARNING statusUndocumented assumptions cause issuesDocument every assumption
Not tracking attemptsWaste cycles on same approachTrack every attempt, escalate at 3
Proceed when BLOCKEDBuild wrong solutionNEVER bypass BLOCKED gates


Related Skills

  • ork:scope-appropriate-architecture - Project tier detection that feeds YAGNI gate
  • ork:architecture-patterns - Enforce testing standards as part of quality gates
  • ork:testing-llm - LLM-as-judge patterns for quality validation (DeepEval, RAGAS)
  • ork:golden-dataset - Validate datasets meet quality thresholds

Key Decisions

DecisionChoiceRationale
Complexity Scale1-5 levelsGranular enough for estimation, simple enough for quick assessment
Block Threshold3 critical questionsPrevents proceeding with too many unknowns
Escalation Trigger3 failed attemptsBalances persistence with avoiding wasted cycles
Level 4-5 RequirementPlan requiredComplex tasks need upfront decomposition

Capability Details

complexity-scoring

Keywords: complexity, score, difficulty, estimate, sizing, 1-5 scale Solves: How complex is this task? Score task complexity on 1-5 scale, assess implementation difficulty

blocking-thresholds

Keywords: blocking, threshold, gate, stop, escalate, cannot proceed Solves: When should I block progress? >3 critical questions = BLOCK, Missing dependencies = BLOCK

critical-questions

Keywords: critical questions, unanswered, unknowns, clarify Solves: What are critical questions? Count unanswered, block if >3

stuck-detection

Keywords: stuck, failed attempts, retry, 3 attempts, escalate Solves: How do I detect when stuck? After 3 failed attempts, escalate

gate-validation

Keywords: validate, gate check, pass, fail, gate status Solves: How do I validate quality gates? Run pre-task gate validation

pre-task-gate-check

Keywords: pre-task, before starting, can proceed Solves: How do I check gates before starting? Assess complexity, identify blockers

complexity-breakdown

Keywords: breakdown, decompose, subtasks, split task Solves: How do I break down complex tasks? Split Level 4-5 into Level 1-3 subtasks

requirements-completeness

Keywords: requirements, incomplete, acceptance criteria Solves: Gate check only: is the requirement set complete enough to start? Authoring the requirements themselves belongs to ork:write-prd (see Upstream coverage)

escalation-protocol

Keywords: escalate, ask user, need help, human guidance Solves: When and how to escalate? Escalate after 3 failed attempts

llm-as-judge

Keywords: llm as judge, g-eval, aspect scoring, quality validation Solves: Gate thresholds only: what score must a judge return to pass? Building and running the judge belongs to ork:testing-llm (see Upstream coverage)

yagni-gate

Keywords: yagni, over-engineering, justified complexity, scope check, too complex, simplify Solves: Is this complexity justified? Calculate justified_complexity ratio against project tier, BLOCK if > 2.0, surface simpler alternatives

FAQ

What does the quality-gates skill do?

Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.

How do I install quality-gates?

Run npx skills add https://github.com/yonatangross/orchestkit --skill quality-gates in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quality-gates/ (personal) or .claude/skills/quality-gates/ (project).

Which AI agents can use quality-gates?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is quality-gates safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains quality-gates?

It is published by yonatangross in yonatangross/orchestkit. It has 253 recorded installs.

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