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Agent skill

Rde Eval

by millionco in millionco/react-doctor

Run a targeted local React Doctor Evals loop against an uncommitted rule change.

Custom licenceAuto-check passedDevelopment

Install Rde Eval

skills CLI
$ npx skills add millionco/react-doctor --skill rde-eval -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install millionco/react-doctor rde-eval --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/rde-eval .claude/skills/rde-eval && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
rde-eval
GitHub stars
15k
Token cost
~510 tokens
SKILL.md length
183 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Run a targeted local React Doctor Evals loop against an uncommitted rule change.

  • Works in 6 steps: Open the pinned repository at the… → Compare the code with the rule contract. → Classify the hit as true positive, false… → …
  • Tasks that involve LLM evaluation
  • SKILL.md covers Prepare both checkouts, Run a bounded sample, Inspect target-rule hits and Report results
  • Calls node and git

What it does

Rde Eval is an agent skill from millionco/react-doctor. 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.

Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering LLM evaluation and Pull requests. It works with React. The repository describes itself as: Your agent writes bad React. This catches it.

When your agent uses it

  • Tasks that involve LLM evaluation
  • Tasks that involve Pull requests

Example prompts

  • “/rde-eval”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Open the pinned repository at the reported location.
  2. Compare the code with the rule contract.
  3. Classify the hit as true positive, false positive, or unsupported.
  4. Add a rule regression test for each false positive.
  5. Add confirmed false positives to the fuzz regression corpus.
  6. Rebuild and rerun the same sample.

What it can do on your machine

Read from SKILL.md and the folder at commit 3c668e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Rde Eval loads about 510 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~510

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 183 words (~510 tokens).

“Use React Doctor Evals (RDE) for bounded local iteration. Use run-parity only after the change has a pushed pull request.”

— opening of SKILL.md by millionco, Custom licence
name
rde-eval

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/rde-eval of millionco/react-doctor.

Open the folder on GitHubat commit 3c668e1

Compare with similar skills

Rde Eval next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Rde Eval compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rde Eval this skillmillionco/react-doctor15k—~510Automated safety check: PassCustom licence
Nullable New Paramsremotion-dev/remotion62k—~1kAutomated safety check: PassCustom licence
Cherry Studio PR ReviewCherryHQ/cherry-studio52k—~3.9kAutomated safety check: PassAGPL-3.0
Qiaomu Meta Skilljoeseesun/qiaomu-meta-skill383—~2.8kAutomated safety check: PassMIT
Maintain Greptile RulesJwuthri/Tracely-ai1.5k—~1.1kAutomated safety check: PassMIT
Code Reviewnteract/semiotic2.7k—~1.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Rde Eval

What does Rde Eval do?

Run a targeted local React Doctor Evals loop against an uncommitted rule change. Rde Eval is an agent skill from millionco/react-doctor. Run a targeted local React Doctor Evals loop against an uncommitted rule change.

When should I use Rde Eval?

Rde Eval fits situations like: tasks that involve LLM evaluation; tasks that involve Pull requests.

How do I install Rde Eval in Claude Code?

Run `npx skills add millionco/react-doctor --skill rde-eval -a claude-code`. Or copy the skill folder (.agents/skills/rde-eval in millionco/react-doctor) into .claude/skills/rde-eval in your project. Claude Code loads it when a task matches its description.

How do I install Rde Eval in Codex?

Run `npx skills add millionco/react-doctor --skill rde-eval -a codex`. Or copy the skill folder (.agents/skills/rde-eval in millionco/react-doctor) into .agents/skills/rde-eval in your project. Codex loads it when a task matches its description.

Can I use Rde Eval in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add millionco/react-doctor --skill rde-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rde-eval, .gemini/skills/rde-eval, .github/skills/rde-eval and .opencode/skills/rde-eval in your project.

What does Rde Eval need to run?

Going by SKILL.md and its folder, Rde Eval needs the command-line tools its instructions call (node and git).

Does Rde Eval access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Rde Eval safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Rde Eval use?

Rde Eval has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Rde Eval use?

About 510 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Rde Eval?

Skills that share tags, products or a category with Rde Eval: Nullable New Params (remotion-dev/remotion, 62k stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars), Qiaomu Meta Skill (joeseesun/qiaomu-meta-skill, 383 stars) and Maintain Greptile Rules (Jwuthri/Tracely-ai, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rde Eval?

millionco (a GitHub organization) maintains it in millionco/react-doctor, which has 14,971 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 7, 2026.

Source: millionco/react-doctor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.