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agent-evaluation-reporting
agent-evaluation-reporting is an open-source workflow skill for Claude Code and compatible agents, published by sickn33. Its author describes it as: “Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.”. The project has 45k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add sickn33/agentic-awesome-skills`.
What agent-evaluation-reporting does
Turn raw agent evaluation runs into a decision-ready report without hiding failures or overstating capability. Keep outcome populations, denominators, latency populations, and experiment conditions explicit so readers can reproduce every headline number.
Installation
Add agent-evaluation-reporting to your agent with:
/plugin marketplace add sickn33/agentic-awesome-skills Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for agent-evaluation-reporting is organised into these sections:
- Overview
- When to Use This Skill
- How It Works
- Step 1: Freeze the comparison contract
- Step 2: Build a mutually exclusive outcome ledger
- Step 3: Lock each metric to a denominator
- Step 4: Keep latency and cost populations honest
- Step 5: Quantify uncertainty and comparability
- Step 6: Map evidence to predeclared decision gates
- Example
- Best Practices
- Limitations
When to use it
Reach for agent-evaluation-reporting when you want workflow help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in sickn33/agentic-awesome-skills, an established project with 45,095 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does agent-evaluation-reporting do?
- Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.
- How do I install agent-evaluation-reporting?
- Run /plugin marketplace add sickn33/agentic-awesome-skills in your agent, then reload your skills. Review the source at https://github.com/sickn33/agentic-awesome-skills before installing.
- Is agent-evaluation-reporting free to use?
- Yes. agent-evaluation-reporting is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does agent-evaluation-reporting come from?
- agent-evaluation-reporting ships inside sickn33/agentic-awesome-skills, a repository that contains 66 catalogued skills in total. The repository's 45,095 GitHub stars apply to that whole collection, not to this skill on its own.
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