rde-eval
Run a targeted local React Doctor Evals loop against an uncommitted rule change. Use after focused rule tests pass, while inspecting real open-source hits, or when rule-validate needs local false-positive evidence before pull request parity.
- Installs
- 327
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/millionco/react-doctor --skill rde-eval- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads rde-eval automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Run a local rule evaluation
Use React Doctor Evals (RDE) for bounded local iteration. Use run-parity only after the change has a pushed pull request.
Prepare both checkouts
export REACT_DOCTOR_CHECKOUT=/absolute/path/to/react-doctor
export RDE_CHECKOUT=/absolute/path/to/react-doctor-evals
git -C "$RDE_CHECKOUT" pull --ff-only
ni -C "$RDE_CHECKOUT"
nr -C "$RDE_CHECKOUT" build
nr -C "$REACT_DOCTOR_CHECKOUT" build
The path: spec reads uncommitted React Doctor changes. Run RDE commands from the eval checkout.
Run a bounded sample
cd "$RDE_CHECKOUT"
node dist/cli.js run "path:$REACT_DOCTOR_CHECKOUT" --runner local --take 100
node dist/cli.js digest "path:$REACT_DOCTOR_CHECKOUT" --rule <rule-id>
node dist/cli.js digest "path:$REACT_DOCTOR_CHECKOUT" --json --rule <rule-id> > <artifact-directory>/hits.json
Increase --take only after tests and the first sample pass.
Inspect target-rule hits
For each hit, or a representative sample when counts are high:
- Open the pinned repository at the reported location.
- Compare the code with the rule contract.
- Classify the hit as true positive, false positive, or unsupported.
- Add a rule regression test for each false positive.
- Add confirmed false positives to the
fuzzregression corpus. - Rebuild and rerun the same sample.
Record repository count separately from project-root count. Do not treat error records as clean scans.
Report results
Report checkout revisions, target rule, repositories, project roots, diagnostics, inspected hits, fixed false positives, and the artifact path. State any setup error or skipped repository.
After local validation, return to rule-validate. That skill decides whether to invoke pull request parity.
FAQ
What does the rde-eval skill do?
Run a targeted local React Doctor Evals loop against an uncommitted rule change. Use after focused rule tests pass, while inspecting real open-source hits, or when rule-validate needs local false-positive evidence before pull request parity.
How do I install rde-eval?
Run npx skills add https://github.com/millionco/react-doctor --skill rde-eval in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/rde-eval/ (personal) or .claude/skills/rde-eval/ (project).
Which AI agents can use rde-eval?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is rde-eval safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains rde-eval?
It is published by millionco in millionco/react-doctor. It has 327 recorded installs.
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