zereight/skill · Archived

harness

Pi-native evaluate→improve→persist harness. Provides a systematic loop for generating candidates, judging them against rubrics, and accumulating knowledge as playbooks. Use for iterative output improvement, not for one-off edits (use continuity) or single PR review (use zereight-review).

First seen Jun 23, 2026

Installation

$ npx skills add zereight/skill --skill harness

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,034 B
  • docs SUMMARY.md 307 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

harness (Pi-native evaluation loop)

Builds on autoctx (judge/improve core) + Pi tools to provide a coherent harness.

Stack

Layer Source Role
Extension ~/.pi/agent/extensions/harness/index.ts Tools + TUI + lifecycle
Judge engine autoctx (via pi-autocontext dep) LLM-based evaluation
Skill .agents/skills/harness/SKILL.md Usage guide + routing

Tools

Tool Description
harness_solve Full loop: generate → judge → improve → persist playbook
harness_knowledge Read/write/list playbooks (knowledge/<scenario>/playbook.md)
harness_status Recent runs, scores, and scenarios overview

Usage

# Solve a task with rubric-driven improvement
goal: "Improve zereight-review checklist for RN PRs"
rubric: "Actionable findings, Effect anti-patterns, security when relevant"
→ Best output + playbook saved to knowledge/<scenario>/

# Check previous runs
→ Recent runs with scores and scenarios

# Browse accumulated knowledge
action: list → all scenarios with playbooks
action: read, scenario: zereight-review → full playbook

When to use

Need Use
Systematic output improvement harness_solve
Review accumulated lessons harness_knowledge read
Check past run history harness_status
One-off judge/improve autocontextjudge / autocontextimprove (pi-autocontext)

Cost

  • harness_solve consumes Pi provider quota per generation round.
  • Start with gens: 1 to calibrate rubric, then increase.
  • harnessknowledge and harnessstatus are zero-cost.