additive-bias-defense
SkillAI & modelsadditive-bias-defense is a skill that changes how your AI judges new code. Instead of assuming additions are fine, it makes every addition prove it is necessary. Use it to keep pull request reviews, refactors, and unbloat runs focused on changes that actually earn their place.
Use additive-bias-defense in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the additive-bias-defense skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
After adding it, ask your AI to apply it the next time you review a pull request, plan a refactor, or run unbloat.
What your AI can do with it
- Challenge whether each new addition is necessary when reviewing pull requests
- Flip the burden of proof onto new code while planning refactors
- Question every addition when running unbloat
- Push back on changes that do not justify themselves
What this skill tells your AI
The instructions your AI receives, as published by athola/claude-night-market in plugins/leyline/skills/additive-bias-defense/SKILL.md and read by Ahel’s review.
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, notprovides.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 thecontractlabel and link the validator path here.
When NOT To Use
- Removing bloat that already landed (use
conserve:bloat-detector) - Scoring whether a feature is worth building (use
imbue:scope-guard)
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):
- Priority alignment: Is this a deviation from the current priority?
- Criticality: Is it critical to implement at this juncture?
- Simplicity: Does a simpler or more elegant solution exist?
- Evidence: What evidence proves this is needed (not assumed)?
- 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
| Pattern | Signal | Challenge |
|---|---|---|
| Wheel reinvention | New utility/helper overlapping existing code | "Does X already do this?" |
| Hallucinated issues | Fix for a bug with no reproduction evidence | "Show the failing test before the fix" |
| Test manipulation | Test changed to match behavior rather than spec | "Did the spec change, or did you change the test?" |
| Complexity creep | Abstraction introduced for single use case | "Is this the 3rd use, or the 1st?" |
| Priority deviation | Work not traceable to current task/spec | "Which requirement does this serve?" |
| Gold plating | Error handling or flexibility beyond need | "What breaks without this?" |
Burden of Proof Verdict
After applying scrutiny questions and anti-pattern detection, produce a verdict:
| Verdict | Meaning | Action |
|---|---|---|
justified | Evidence supports the addition | Proceed |
needs_evidence | Plausible but unproven | Provide evidence or remove |
unjustified | No evidence, likely bias | Remove or justify |
Integration Contract
Review-oriented skills MUST consult this contract by:
- Applying the 5 scrutiny questions to each addition
- Scanning for the 6 anti-patterns
- Producing a burden-of-proof verdict
- Including the verdict in their output
Consuming Skills
| Skill | Integration Point |
|---|---|
attune:war-room | Prosecution Counsel role uses scrutiny questions |
sanctum:pr-review | Every added file/function challenged |
pensive:code-refinement | Refactors pass "3rd use" test |
conserve:unbloat | Findings feed removal candidates |
attune:mission-orchestrator | Plan sections scanned before user review |
imbue:justify | Scrutiny 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-compositionfor 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, orunjustified; 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
Signals
- GitHub stars
- 340
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
additive-bias-defense- Source
- github.com/athola/claude-night-market
github.com/athola/claude-night-market
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