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Additive Bias Defense

  • 72 installs
  • 325 repo stars
  • Updated August 2, 2026
  • athola/claude-night-market

Challenge every proposed code addition during PR review, refactor planning, or unbloat passes so agents default to no unless necessity is proven.

About

additive-bias-defense is a foundational quality-contract skill for solo builders who rely on agents that tend to add files, abstractions, error handling, and config without justification. It inverts the default: the answer to adding anything is no until priority alignment and necessity are demonstrated. Use it when reviewing pull requests, planning refactors, running unbloat, or refining code so every addition— not just features—faces the same scrutiny questions. The skill documents that enforcement is voluntary via partner skills like code-refinement and unbloat rather than a leyline validator, which keeps it lightweight but requires you to invoke it explicitly in review workflows. For indie teams shipping fast with Claude Code or Cursor, it acts as a systemic guardrail against complexity creep and hallucinated fixes that modify tests to match bad changes. It is editorial guidance consumed by other skills, ideal when you want consistent review vocabulary across Ship review and Operate iteration loops.

  • Default answer to “should we add this?” is no; addition carries burden of proof
  • Scrutiny questions cover priority alignment and necessity of new code, files, and abstractions
  • Cross-cutting defense against LLM additive bias, wheel reinvention, and test tampering
  • Pairs with code-refinement, unbloat, and scope-guard style partner skills in the night-market stack
  • Guidance contract (~800 tokens) for standard models, not a repo-enforced validator hook

Additive Bias Defense by the numbers

  • 72 all-time installs (skills.sh)
  • Ranked #515 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/athola/claude-night-market --skill additive-bias-defense

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Listed on Skillselion
Installs72
repo stars325
Security audit3 / 3 scanners passed
Last updatedAugust 2, 2026
Repositoryathola/claude-night-market

What it does

Challenge every proposed code addition during PR review, refactor planning, or unbloat passes so agents default to no unless necessity is proven.

Files

SKILL.mdMarkdownGitHub ↗
The default answer to "should we add this?" is no.
The burden of proof is on the addition.

Additive Bias Defense

Note (#444): Frontmatter declares `provides.guidance`, not
`provides.contract`. The scrutiny questions are consumed by
partner skills (`pensive:code-refinement, conserve:unbloat`,
`imbue:scope-guard`) that voluntarily embed them; no validator or
hook in leyline enforces them directly. If a future contributor
adds enforcement, restore the `contract` label and link the
validator path here.

The Problem

LLMs are additive by nature. They reinvent wheels, add unnecessary complexity, hallucinate issues and modify tests to justify them, and deviate from priorities. This contract provides a systemic defense.

The Scrutiny Questions

Applied to every proposed addition (code, files, abstractions, error handling, configuration):

1. Priority alignment: Is this a deviation from the current priority? 2. Criticality: Is it critical to implement at this juncture? 3. Simplicity: Does a simpler or more elegant solution exist? 4. Evidence: What evidence proves this is needed (not assumed)? 5. Consequence: What breaks if we do not add this?

If the proposer cannot answer questions 4 and 5 with concrete evidence, the addition is unjustified.

Anti-Pattern Detection

PatternSignalChallenge
Wheel reinventionNew utility/helper overlapping existing code"Does X already do this?"
Hallucinated issuesFix for a bug with no reproduction evidence"Show the failing test before the fix"
Test manipulationTest changed to match behavior rather than spec"Did the spec change, or did you change the test?"
Complexity creepAbstraction introduced for single use case"Is this the 3rd use, or the 1st?"
Priority deviationWork not traceable to current task/spec"Which requirement does this serve?"
Gold platingError handling or flexibility beyond need"What breaks without this?"

Burden of Proof Verdict

After applying scrutiny questions and anti-pattern detection, produce a verdict:

VerdictMeaningAction
justifiedEvidence supports the additionProceed
needs_evidencePlausible but unprovenProvide evidence or remove
unjustifiedNo evidence, likely biasRemove or justify

Integration Contract

Review-oriented skills MUST consult this contract by:

1. Applying the 5 scrutiny questions to each addition 2. Scanning for the 6 anti-patterns 3. Producing a burden-of-proof verdict 4. Including the verdict in their output

Consuming Skills

SkillIntegration Point
attune:war-roomProsecution Counsel role uses scrutiny questions
sanctum:pr-reviewEvery added file/function challenged
pensive:code-refinementRefactors pass "3rd use" test
conserve:unbloatFindings feed removal candidates
attune:mission-orchestratorPlan sections scanned before user review
imbue:justifyScrutiny questions extend audit protocol

Related Skills

  • imbue:karpathy-principles - "Simplicity First" and "Surgical Changes" principles invoke this contract from a higher-level four-principle synthesis
  • See docs/quality-gates.md#skill-level-quality-gate-composition for the full gate-skill federation graph

The Subtraction Principle

Rely less on AI and initial lines of thinking.
Challenge yourself to think of a more elegant
implementation or a simpler solution.

Before accepting any addition, ask: "Could I achieve this by removing code instead of adding it?" If yes, prefer the subtractive approach.

Exit Criteria

  • [ ] All 5 scrutiny questions applied to every proposed addition;

questions 4 (evidence) and 5 (consequence) answered with concrete evidence, not assumptions

  • [ ] All 6 anti-patterns scanned (wheel reinvention, hallucinated

issues, test manipulation, complexity creep, priority deviation, gold plating); any match named with the pattern label

  • [ ] A burden-of-proof verdict produced for each addition:

justified, needs_evidence, or unjustified; the verdict appears in the consuming skill's output

  • [ ] Subtraction principle applied: at least one check for

"could this be achieved by removing code instead?" before accepting any net-positive line-count change

Related skills

FAQ

Is Additive Bias Defense safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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