harness-experiment
De la autor
Run a harness change as a controlled experiment, with a small end-to-end eval, one change at a time, repeated runs, and looking at flipped tasks, request count, tokens and cache hits, not just the average score. Use before and after changing prompts, tools, skills, subagent layout, compaction or other agent scaffolding, or when asked whether a change helped.
Instalare
npx skills add MiniMax-AI/mcode-stack --skill harness-experiment -a claude-code
Se instalează în .claude/skills/harness-experiment/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 86
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- agent-eval-harnessOneWave-AI/claude-skillsUse to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.Testare★ 400
- harness-engineeringgithub/awesome-copilotAdopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.Testare★ 40.6K
- agent-harnessborghei/Claude-SkillsTest and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets. Use when agent quality is vibe-checked, before shipping a prompt or model change, or when evals drift.Testare★ 1K
- harness:healthraphaelchristi/harness-evolverUse when the user wants to check dataset quality, diagnose eval issues, or before running evolve. Checks size, difficulty distribution, dead examples, coverage, and splits. Auto-corrects issues found.Altele★ 57
- manage-experimentsharness/harness-skillsCreate, update (metrics, dates, description, hypothesis, baseline/comparison treatments, status), or delete Harness FME feature-flag experiments. Delegates metric selection to choose-metric, metric creation to create-metric, event wiring to instrument-metric, results to review-experiment-results, flag/definition prep to create-feature-flag and update-flag-targeting. Use when asked to create, modify, pause, resume, complete, or delete an experiment. Do not use for explaining results (review-experiment-results). Trigger phrases: create experiment, set up A/B test, design experiment, launch test, update experiment, pause/resume/complete experiment, delete experiment.Testare★ 127
- review-agent-harnessmajiayu000/spellbookReview whether a repository's coding-agent harness can reliably carry work from intent through controlled execution, verification, delivery, and learning. Use when asked to assess agent readiness, repeated agent failures, Rules/Skills/Hooks/Memory effectiveness, missing validation or recovery loops, or whether a harness repair improved later outcomes. Do not use for code-only audits, AGENTS-only audits, individual skill reliability reviews, or executing the task itself.Inginerie★ 288
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