What makes justify notable?

987 downloads. Trust evidence available

How should justify 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

justify

Audits changes for additive bias and Iron Law compliance Skill: justify Owner: athola Summary: Audits changes for additive bias and Iron Law compliance Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:12:36.278Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:34:13.478Z | user Release v1.9.17 v1.9.16 | 2026-07-14T19:50:57.554Z | user Release v1.9.16 v1.9.14 | 2026-06-30T18:00:01.221Z | user Release v1.9.14 v1.9.13 | 2026-06-27T16:18:46.818Z | user Release v1.9.1

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

987

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. 987 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: 987 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-imbue-justify

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-imbue-justify/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

104,940 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: justify
description: Audits changes for additive bias and Iron Law compliance
version: 1.9.8
triggers:
  - justification
  - proof-of-work
  - anti-additive-bias
  - code-review
  - iron-law
  - reviewing completed work before merging or after AI-assisted implementation
metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/imbue", "emoji": "\ud83e\udd9e", "requires": {"config": ["night-market.imbue:proof-of-work", "night-market.leyline:additive-bias-defense"]}}}
source: claude-night-market
source_plugin: imbue
---

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


> The simplest change that fixes the problem is the
> safest change to merge.
> Adding code is easy. Removing the need for code is
> engineering.

# Justify

## The Additive Bias Problem

AI models are trained to be helpful, which creates
a systematic bias toward *adding* code rather than
*fixing* root causes:

| AI Default Behavior | Correct Behavior |
|---------------------|------------------|
| Add a workaround | Fix the root cause |
| Modify test expectations | Fix the implementation |
| Create a new helper | Use an existing one |
| Add error handling | Prevent the error |
| Add a compatibility shim | Remove the old code |
| Wrap in try/catch | Fix the exception source |

This skill audits changes for these patterns and
requires explicit justification for each.

## When to Use

- After completing implementation work
- Before committing or creating PRs
- When reviewing your own changes for quality
- When scope-guard flags RED/YELLOW zone

## Audit Protocol

### Step 1: Gather the Delta

```bash
# Determine base branch
base=$(git merge-base master HEAD 2>/dev/null \
  || git merge-base main HEAD 2>/dev/null)

# Get change statistics
git diff "$base" --stat
git diff "$base" --shortstat
git diff "$base" --diff-filter=A --name-only  # new files
git diff "$base" --diff-filter=M --name-only  # modified files
git diff "$base" --diff-filter=D --name-only  # deleted files
```

### Step 2: Compute Additive Bias Score

Score each dimension 0-3 (0 = clean, 3 = high bias):

| Signal | Weight | How to Measure |
|--------|--------|----------------|
| Line ratio | 2x | `additions / max(deletions, 1)` |
| New files | 2x | Count of `--diff-filter=A` |
| Test logic changes | 3x | Test assertion/expectation diffs |
| New abstractions | 1x | New classes, functions, modules |
| Workaround patterns | 2x | Try/catch, if/else guards added |

**Line Ratio Scoring:**

| Ratio | Score | Interpretation |
|-------|-------|----------------|
| < 2:1 | 0 | Balanced change |
| 2:1 to 5:1 | 1 | Mildly additive |
| 5:1 to 10:1 | 2 | Additive bias likely |
| > 10:1 | 3 | Strong additive bias |

**Aggregate Score:**

```
bias_score = sum(signal_score * weight) / sum(weights)
```

| A

_meta.json

{
  "ownerId": "kn7d107jg9jv602h9ytsegydq184a42s",
  "slug": "nm-imbue-justify",
  "version": "1.9.19",
  "publishedAt": 1787749956278
}

skill-card.md

## Description:

Audits changes for additive bias and Iron Law compliance.

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 engineers use this skill after implementation work or before commits and pull requests to review diffs for additive-bias patterns, Iron Law test-discipline issues, and unnecessary complexity.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Broad triggers may activate the skill during ordinary code-review conversations.

Mitigation: Narrow trigger phrases or invoke the skill explicitly in workflows where accidental activation would distract from review.

Risk: The skill reviews git diffs and may produce incorrect or overly strict guidance about proposed code changes.

Mitigation: Treat its report as review guidance and have a human reviewer confirm conclusions before merging.

## Reference(s):

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

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, guidance]

**Output Format:** [Markdown report with inline shell commands and review tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces a structured justification report with additive-bias scoring, Iron Law checks, file-by-file rationale, risk assessment, and recommendations.]

## Skill Version(s):

1.9.19 (source: release evidence)

## 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.

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