# Openclaw 6136 Equity Impact Scoring

> Equity Impact Scoring for scientific publishing pipelines. Use when work requires equity impact scoring for scientific publishing pipelines with guardrails, traceable execution, and measurable outcomes.

- Skill: `zwright8/openclaw-6136-equity-impact-scoring` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds add zwright8/openclaw-6136-equity-impact-scoring`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zwright8/openclaw-6136-equity-impact-scoring/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: zwright8 (https://skillmd.com/u/zwright8)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/zwright8/openclaw-6136-equity-impact-scoring

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# Equity Impact Scoring for scientific publishing pipelines

## Mission
Use equity impact scoring in scientific publishing pipelines with emphasis on evidence quality, falsifiability, and calibration.

## Activation Cues
- Task requires equity impact scoring in scientific publishing pipelines.
- Task needs explicit risk controls, approval gates, and traceable outcomes.
- Task output must include artifact handoff for humans and agents.

## Execution Plan
1. Define measurable outcomes for Equity Impact Scoring for scientific publishing pipelines, including baseline and target metrics for scientific publishing pipelines.
2. Specify structured inputs/outputs for equity impact scoring and validate schema contract edge cases.
3. Implement the core equity impact scoring logic with deterministic scoring and reproducible execution traces.
4. Integrate orchestration policy, routing, approval gates, retries, and rollback for autonomous execution.
5. Run unit, integration, simulation, and regression suites for Equity Impact Scoring for scientific publishing pipelines under maximally truth-seeking conditions.
6. Roll out behind a feature flag, monitor telemetry, and refine thresholds using observed operational outcomes.

## Runbook
Preflight:
- Validate mission scope, contracts, and required inputs.
- Verify feature flag posture, dependencies, and approval prerequisites.

Execution:
- Execute equity impact scoring workflow with deterministic scoring and trace capture.
- Track posture transitions and preserve reproducible evidence artifacts.

Recovery:
- Apply rollback strategy if posture is critical or guardrails fail.
- Escalate blocked execution to oversight with incident packet and trace references.

Handoff:
- Publish outcome report, scorecard, and telemetry links.
- Queue follow-up tasks for unresolved risks, approvals, or optimization work.

## Guardrails
- [quality] Require unit and integration validations before promoting Equity Impact Scoring for scientific publishing pipelines. Automation: `run-validation:unit+integration+simulation+regression-baseline`
- [reliability] Trigger rollback on critical posture or repeated failures. Automation: `rollback:rollback-to-last-stable-baseline`
- [cost] Respect bounded resource pressure and execution budget during scaling. Automation: `budget-guard:resource-pressure-cap`

## Success Metrics
- Primary metric: accuracy lift
- Secondary metrics: contradiction reduction, evidence coverage in scientific publishing pipelines
- Review cadence: weekly

## Output Contract
- Return a concise execution summary with key decisions.
- Return risk and mitigation notes with unresolved blockers.
- Return artifact target: `equity-impact-scoring-artifact-scientific-publishing-pipelines`.
- Return recommended follow-up tasks for next wave execution.