Completion Verification

SkillProductivity

Lets your agent verify that work is actually complete before claiming a task is done.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Completion Verification skill

About this capability

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/planning-with-files/skills/completion-verification/SKILL.md and read by ahel’s review.

Verify all phases are complete with weighted quality scoring before allowing session exit.

Agent

Completion Verifier - pwf-completion-verifier

Workflow

  1. Read all three planning files in parallel
  2. Parse checkbox completion state from task_plan.md
  3. Cross-reference plan, findings, and progress for consistency
  4. Check error resolution status
  5. Calculate weighted quality score (phases 40%, errors 25%, findings 20%, continuity 15%)
  6. Generate recommendations if threshold not met
  7. Write verification report to progress.md

Inputs

  • projectPath - Root path for planning files
  • taskDescription - Original task description
  • qualityThreshold - Minimum score to pass (default: 80)
  • strictMode - Require 100% checkbox completion (default: false)

Outputs

  • Quality score with component breakdown
  • Phase completion report
  • Unresolved error list
  • Prioritized improvement recommendations

Process Files

  • planning-orchestrator.js - Completion assessment and final verification
  • planning-verification.js - Full verification pipeline

Signals

GitHub stars
2k
Forks
106
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
completion-verification
Source
github.com/a5c-ai/babysitter