What makes additive-bias-defense notable?

992 downloads. Trust evidence available

How should additive-bias-defense be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

additive-bias-defense

Inverts burden of proof for code additions Skill: additive-bias-defense Owner: athola Summary: Inverts burden of proof for code additions Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:13:54.522Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:35:07.810Z | user Release v1.9.17 v1.9.16 | 2026-07-14T19:51:50.805Z | user Release v1.9.16 v1.9.14 | 2026-06-30T18:00:47.850Z | user Release v1.9.14 v1.9.13 | 2026-06-27T16:19:23.613Z | user Release v1.9.1

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

992

Updated

Oct 11, 2026

Version

1.9.19

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 992 downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 992 downloadsadoption · observed Oct 11, 2026
Latest release: 1.9.19release · observed Aug 26, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.9.19release
Release v1.9.19
Observed Aug 26, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-leyline-additive-bias-defense

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-leyline-additive-bias-defense/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

49,222 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: additive-bias-defense
description: Inverts burden of proof for code additions
version: 1.9.8
triggers:
  - additive-bias
  - burden-of-proof
  - scrutiny
  - cross-cutting
  - defense
  - reviewing PRs
  - planning refactors
  - or running unbloat to challenge every addition's necessity
metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/leyline", "emoji": "\ud83e\udd9e"}}
source: claude-night-market
source_plugin: leyline
---

> **Night Market Skill** — ported from [claude-night-market/leyline](https://github.com/athola/claude-night-market/tree/master/plugins/leyline). For the full experience with agents, hooks, and commands, install the Claude Code plugin.


> 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

| 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 a

_meta.json

{
  "ownerId": "kn7d107jg9jv602h9ytsegydq184a42s",
  "slug": "nm-leyline-additive-bias-defense",
  "version": "1.9.19",
  "publishedAt": 1787750034522
}

skill-card.md

## Description:

Inverts burden of proof for code additions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[athola](https://clawhub.ai/user/athola)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and engineering agents use this skill during reviews, refactors, planning, and cleanup work to challenge proposed additions with evidence-focused scrutiny questions and anti-pattern checks.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The broad triggers and strong burden-of-proof framing may make an agent push back more often than desired in general engineering discussions.

Mitigation: Apply the skill primarily during reviews, refactors, planning, and cleanup work where evidence-based scrutiny of additions is desired.

Risk: A justified addition may be delayed if its rationale or consequence is not documented clearly.

Mitigation: Ask for concise evidence explaining why the addition is needed and what breaks without it before accepting a needs_evidence or unjustified verdict.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/athola/skills/nm-leyline-additive-bias-defense)
- [OpenClaw homepage](https://github.com/athola/claude-night-market/tree/master/plugins/leyline)

## Skill Output:

**Output Type(s):** [Guidance, Markdown, Text]

**Output Format:** [Markdown guidance with scrutiny questions, anti-pattern checks, and verdict labels]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [No code execution, persistence, credential access, or hidden data handling reported by security evidence.]

## Skill Version(s):

1.9.19 (source: ClawHub release metadata; artifact frontmatter reports 1.9.8)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Github ReposUpdated 4d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular