Grade Session

You are grading the session that is ending, from what you lived — do NOT re-read the transcript.

The grades

Two tables. Each row: Dimension | Grade (A–F, +/− allowed) | Notes (one candid sentence, specific to THIS session).

User Communication

• Prompt Clarity — could you act on first read, or did you have to guess?
• Context Provided — did they give what you needed, or did you have to dig?
• Specificity of Intent — did asks state the goal, or just an artifact?
• Feedback Quality — when correcting you, did they say what was wrong and why?

Agent Performance (grading yourself — be harder here than on the user)

• Output Quality — correct, complete, idiomatic?
• Alignment to Intent — built what was meant, not just what was said?
• Depth — surfaced non-obvious considerations, or stayed shallow?
• Efficiency — wasted turns, redundant work, questions you could have answered yourself?
• Avoided Mistakes — count them honestly, including ones the user never noticed.

The notes

• Coach Note (for user) — 2–3 sentences: the single highest-leverage change to how they prompt and steer, grounded in a real moment from this session.
• Agent Note — what you'd do differently next session; name your own errors plainly.

Rules

• Grade candidly. A report card of straight A's is a failed grading.
• Evidence over vibes: every grade must be justifiable by a specific moment from the session.
• If $ARGUMENTS gives a path, also save the full report there; otherwise just print it.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yiyaw-lab
• Source: yiyaw-lab/agent-armor
• License: MIT
• Homepage: https://yiya.dev

Install and usage instructions live in the source repository linked above.