confidence-check_skill

This skill performs a pre-implementation confidence assessment to ensure readiness and avoid duplicates, guiding architecture, docs, OSS references, and
  • Python

20.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill superclaude-org/superclaude_framework --skill confidence-check

  • confidence.ts9.9 KB
  • SKILL.md3.2 KB

Overview

This skill performs a pre-implementation confidence assessment and requires at least 90% confidence before starting any implementation. It prevents wasted work by checking for duplicates, verifying architecture alignment, confirming official documentation, finding working OSS references, and identifying root causes. Use it as a gate to ensure readiness and reduce rework. The skill returns a clear pass/warn/fail outcome and a detailed checklist.

How this skill works

The skill runs five weighted checks (duplicate detection, architecture compliance, official docs verification, OSS reference discovery, and root cause analysis) and computes a numeric confidence score. It searches the codebase for similar functionality, inspects planned architecture and stack requirements, fetches and verifies relevant official docs and APIs, locates proven open-source implementations, and analyzes logs/errors to confirm the underlying issue. If the composite score is >= 0.90 the skill marks readiness to proceed; lower scores produce alternatives or a stop recommendation.

When to use it

  • Before beginning any new implementation or feature work
  • When scope or requirements are unclear
  • When a change could introduce new dependencies or architecture shifts
  • When debugging recurring issues to confirm root cause
  • Before approving developer work or issuing implementation tickets

Best practices

  • Run the check as the first step in the implementation lifecycle to avoid wasted effort
  • Use precise search terms and codegrep across the entire repository to detect duplicates
  • Compare proposed changes against documented architecture and existing patterns to prevent unnecessary dependencies
  • Always fetch and validate official API docs and changelogs rather than relying on memory
  • Document OSS references and minimal reproducible examples used to justify proceeding

Example use cases

  • A developer proposes a new module—confirm no equivalent exists and that it fits the tech stack before coding
  • Triage a production bug—verify root cause and check for prior fixes or OSS patterns before implementing a hotfix
  • Introduce third-party integration—validate official API compatibility and find sample implementations first
  • Refactor request—ensure refactor aligns with architecture docs and does not duplicate behavior

FAQ

The skill flags caution, returns the failed/low confidence checks, and suggests alternatives or clarifying questions to raise confidence before proceeding.

Can I customize the weight of each check?

Weights are configurable in the assessment settings so teams can prioritize checks according to risk tolerance and project context.

How much time does the check add to a workflow?

Typical runs cost a small fraction of effort (equivalent to 100–200 tokens in automation) and save larger downstream rework; runtime depends on repository size and external doc fetches.

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confidence-check skill by superclaude-org/superclaude_framework | VeilStrat