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Completion verification

Skill a5c-ai/babysitter/library/methodologies/planning-with-files/skills/completion-verification

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

Install
npx -y skills add a5c-ai/babysitter --skill completion-verification

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 240 tokens by cl100k_base, as published. Nobody here has run it

Completion Verification

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

What ships with it: 1 file

177 B alongside SKILL.md

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.