Skip to main content

run-evals

Run evaluations for one, multiple, or all skills using the agent orchestration framework. Make sure to use this skill whenever the user asks to run evals, test a skill's performance, run benchmarks, or compare baseline versus with-skill execution.

Source facts

Repository
flutter/packages
Last source activity
July 28, 2026 at 14:43
Detected SKILL.md language
English
Stars
5,330
Forks
4,079

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer
5 files

Showing SKILL.md

SKILL.md
Source instructions · Read-only preview
name
run-evals
description
Run evaluations for one, multiple, or all skills using the agent orchestration framework. Make sure to use this skill whenever the user asks to run evals, test a skill's performance, run benchmarks, or compare baseline versus with-skill execution.
metadata
{"internal":true}
# Run Skill Evals 1. **Read Framework**: Read `<target-package-root>/evals/README.md` for understanding the difference between per-skill evals and cross-skill evals (where `<target-package-root>` is the directory containing the `.agents` or `skills` folder). 2. **Locate Targets**: Find target `evals/evals.json` files inside `.agents/skills/` and/or `skills/`. For cross-skill evaluations, look for `*_evals.json` files directly in `<target-package-root>/evals/`. 3. **Determine Agent Configuration**: Check the `agent_config` field in the target target JSON file to determine the environment/harness to spawn. If `agent_config` is `"bare-agent"`, spawn a subagent with the `bare-agent` profile. If it is a specific contributor profile (e.g. `"reidbaker-agent"`), use that profile to provide the necessary contributor context. 4. **Orchestrate**: By default, run an Integration Test by spawning a single **With-Skill** subagent using `Workspace: branch` and the identified `agent_config`. - Provide the task prompt. See `resources/with_skill_execution_prompt.md` for the template. When filling in `<path-to-skill>`, you MUST use a relative path from the repository root, not an absolute path. If you are running a cross-skill evaluation, fill in `<path-to-skill>` with `"none (cross-skill meta-eval)"`. Also, replace `<target-package-root>` with the actual directory path in both templates. - **Only if the user explicitly requests a comparison or benchmark**, also spawn a **Baseline** subagent. See `resources/baseline_execution_prompt.md` for the template. Instruct the subagent(s) to return their `git diff` and verification outputs (`dart pub get`, `dart format`, `dart analyze`, `dart test`) without committing. Ensure you instruct them to run these commands exclusively from within the `<target-package-root>` directory to avoid analyzing unrelated packages. **CRITICAL**: You must explicitly warn the subagent(s) to confine all file edits strictly to their current working directory and avoid using absolute paths to modify the parent workspace. **WORKSPACE LIMITATION WARNING**: If the user has multiple active workspaces mounted, the `Workspace: branch` feature will fail. In this situation, you MUST warn the user that running concurrent evaluations in `Workspace: inherit` mode will cause git state bleed and cross-eval pollution (e.g., changes made by a failure scenario will be visible to a success scenario running simultaneously in the same shared directory). Instruct the user to fix this by closing all workspaces except the primary package workspace, and then re-run the evaluations. Do NOT silently fallback to `Workspace: inherit` for concurrent tasks. 5. **Grade**: Parse the combined rubric (resolving `repo_criteria` + `evals.json` expectations). Use the grading instructions in `resources/agent_judge_prompt.md`. When an expectation fails, you MUST explicitly list both the expectation and what was actually found that caused the failure. 6. **Artifact**: Grade the outputs and generate a Markdown artifact (e.g., `<skill>_eval_results.md`) containing the metadata, pass/fail rationale, and raw diffs/stdout.
View on GitHub