Agent Eval Harness
$2.99OfficialUse when an agent workflow needs measurable quality: build task-based evals with graders, baselines, and A/B comparisons before shipping changes.
agent-infrastructureevalstestinggradersllm-judgebenchmarkingreliability· by SkillingMain
What you get
- ✓9-step procedure
- ✓1 ready-to-run code block
- ✓8-point quality checklist
- ✓7 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 6 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use this skill when the user wants to measure whether an agent workflow actually works: building an eval suite for an agent, adding graders, comparing two agent versions, or turning "it feels flaky" into numbers. Also use it before shipping any prompt, tool, or model change to an agent that already has users.
Do not use it for unit-testing ordinary deterministic code — standard test frameworks handle that.
Inputs to gather
- The workflow under test: what the agent does end-to-end, its tools, and where it runs. Get one full example transcript of a good run.
- Failure evidence: 5-10 real examples of bad outputs or user complaints. Real failures seed better tasks
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🔒 Buy once ($2.99) to unlock the full playbook, download it, and install it in every tool you use.