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Agent skill

Rigor Doctor

by rigortype in rigortype/rigor

Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy.

MPL-2.0Auto-check passedDevelopment

Install Rigor Doctor

skills CLI
$ npx skills add rigortype/rigor --skill rigor-doctor -a claude-code

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

GitHub CLI
$ gh skill install rigortype/rigor rigor-doctor --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/rigortype/rigor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rigor-doctor .claude/skills/rigor-doctor && 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
rigor-doctor
GitHub stars
106
Token cost
~767 tokens
SKILL.md length
364 words
Files
2 (incl. references)
Skills in repo
36
Repo updated
First seen
Licence
MPL-2.0

At a glance

Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy.

  • Diagnostics are suspicious
  • SKILL.md covers First: load the…, When to use, What it validates and Interpreting the result, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Setup behavior is wrong

What it does

Rigor Doctor is an agent skill from rigortype/rigor. Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy. Use when diagnostics are suspicious or setup behavior is wrong; not for first-time onboarding or reducing ordinary diagnostics.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/01-checks.md`).

It sits in Development. The repository describes itself as: Inference-first static analysis for Ruby. The licence is MPL-2.0.

When your agent uses it

  • Diagnostics are suspicious
  • Setup behavior is wrong
  • Not for first-time onboarding
  • Reducing ordinary diagnostics

Example prompts

  • “/rigor-doctor”

What it can do on your machine

Read from SKILL.md and the folder at commit 3264953. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

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

  • Network

    No URLs in SKILL.md.

    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

Rigor Doctor loads about 767 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 364 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~767
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

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

The full file from rigortype/rigor at commit 3264953, republished under its MPL-2.0 licence (© rigortype). 364 words, ~767 tokens.

Download SKILL.mdSave it as .claude/skills/rigor-doctor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
rigor-doctor
description
Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy. Use when diagnostics are suspicious or setup behavior is wrong; not for first-time onboarding or reducing ordinary diagnostics.
license
MPL-2.0
metadata.version
0.1.0
metadata.homepage
https://github.com/rigortype/rigor

Rigor Doctor

rigor skill describe reports what exists (presence checks). This skill goes a level deeper: rigor doctor runs Rigor's own setup validators (config audit, RBS environment, plugin loading, baseline drift, plugin gaps, install layout) and this skill interprets the result — the difference between "a .rigor.yml is present" and "it parses, loads its plugins, and analyses the right files." Reach for it when the diagnostics look wrong (suspiciously zero, or suspiciously many) or after editing the config.

First: load the version-current copy

This skill's exact commands, flags, and config keys drift between Rigor releases, so follow the copy that ships with the installed Rigor rather than any vendored or frozen copy of this file. Get the complete current procedure in one call:

sh
rigor skill --full rigor-doctor   # this body + all its references/, inline

If you already loaded this skill via rigor skill you have the current copy — just proceed (read any references/NN-*.md from the directory the header names). If rigor is not on PATH, this task needs it: run rigor-next-steps to install Rigor first, then come back.

When to use

  • After editing .rigor.yml / .rigor.dist.yml.
  • When rigor check reports suspiciously few or suspiciously many diagnostics, or the config feels like it isn't taking effect.
  • NOT for first-time setup (→ rigor-project-init) or working real diagnostics down (→ rigor-baseline-reduce).
Show full SKILL.md (161 more words)Show less

What it validates

rigor doctor runs the setup checks in one pass (--format json gives each finding's checks[].id and status) and exits non-zero when any check fails. It does not check whether the analysis sees the right files; that is a separate look at stats.target_files in rigor check --format json. What each check id means and how to act on it live in the version-current references/01-checks.md (loaded per the directive above).

Interpreting the result

  • All clean (no fail or warn finding, and the file count matches the project) → the setup is healthy; any diagnostics are about the code, not the configuration. Move on to rigor-baseline-reduce or rigor-protection-uplift.
  • A config_audit, rbs_environment, or plugins failure → that is the real problem; fixing it usually clears a whole cluster of confusing downstream diagnostics at once.

For deeper symptoms (hover shows untyped everywhere, completion empty, LSP silent) read the manual's troubleshooting chapter — offline and version-matched:

sh
rigor docs troubleshooting

Next step

Re-run rigor skill describe for the recommended next move.

© rigortype, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/rigor-doctor of rigortype/rigor.

  • SKILL.md
  • references/01-checks.md

Open the folder on GitHubat commit 3264953

Compare with similar skills

Rigor Doctor 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.

Rigor Doctor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rigor Doctor this skillrigortype/rigor106—~767Automated safety check: PassMPL-2.0
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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More from rigortype/rigor

All 36 skills in this repo

  • Rigor Regression Sweep

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  • Rigor Baseline Reduce

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  • Rigor Plugin Author

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  • Rigor Plugin Author

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    Author a Rigor plugin in an adopting project or standalone rigor- gem for a DSL, framework, or metaprogramming pattern.

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  • Rigor Plugin Review

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    Audit an existing Rigor plugin against the current authoring contract and produce a prioritized upgrade path.

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Categories

Questions about Rigor Doctor

What does Rigor Doctor do?

Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy. Rigor Doctor is an agent skill from rigortype/rigor. Validate that a project's Rigor configuration, plugins, paths, and baseline are actually healthy.

When should I use Rigor Doctor?

Rigor Doctor fits situations like: diagnostics are suspicious; setup behavior is wrong; not for first-time onboarding; reducing ordinary diagnostics.

How do I install Rigor Doctor in Claude Code?

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

How do I install Rigor Doctor in Codex?

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

Can I use Rigor Doctor 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 rigortype/rigor --skill rigor-doctor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rigor-doctor, .gemini/skills/rigor-doctor, .github/skills/rigor-doctor and .opencode/skills/rigor-doctor in your project.

What does Rigor Doctor need to run?

SKILL.md names no scripts, command-line tools or credentials: Rigor Doctor is instructions for the agent only.

Does Rigor Doctor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Rigor Doctor 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 Rigor Doctor use?

Rigor Doctor is published under the MPL-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rigor Doctor use?

About 767 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Rigor Doctor?

Skills that share tags, products or a category with Rigor Doctor: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rigor Doctor?

rigortype (a GitHub organization) maintains it in rigortype/rigor, which has 106 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 10, 2026.

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