Agent skill

Rigor Queue Survey

by rigortype in rigortype/rigor

Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey).

MPL-2.0Auto-check passedAgent Workflows

Install Rigor Queue Survey

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

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

GitHub CLI
$ gh skill install rigortype/rigor rigor-queue-survey --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/agents/pi-harness/skills/rigor-queue-survey .claude/skills/rigor-queue-survey && 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-queue-survey
GitHub stars
106
Token cost
~1.3k tokens
SKILL.md length
526 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MPL-2.0

At a glance

Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey).

  • Works in 7 steps: Restate queue goal + constraints (survey… → Show ranked backlog of coverage holes… → Propose exactly one next unit of work… → …
  • Survey coverage queue
  • SKILL.md covers Hard rules (always), Turn protocol (in this same…, When to call architect / lane… and Finish phrases, plus 1 more section
  • Calls make and gh

What it does

Rigor Queue Survey is an agent skill from rigortype/rigor. Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey). USE FOR: 「カバレッジの穴を収集」, 「順次着手」, survey coverage queue, fill survey holes, spawn rigor-lane subagents with disjoint survey targets. DO NOT USE FOR: parallel measurement on a shared survey checkout, release pre-clear (use rigor-queue-release), or cutting a gem release.

Its SKILL.md is about 1.3k 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 Agent Workflows, covering Subagents. It works with Ruby. The repository describes itself as: Inference-first static analysis for Ruby. The licence is MPL-2.0.

When your agent uses it

  • Survey coverage queue
  • Fill survey holes
  • Spawn rigor-lane subagents with disjoint survey targets
  • : parallel measurement on a shared survey checkout

Example prompts

  • “/rigor-queue-survey”

Workflow steps

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

  1. Restate queue goal + constraints (survey root; disjoint survey target
  2. Show ranked backlog of coverage holes with evidence (survey paths,
  3. Propose exactly one next unit of work (unless parallel spawn requested).
  4. Wait for user: next / do #N / skip / stop
  5. On go — prefer pi-subagents spawn (include disjoint survey target path
  6. After children return: collect head SHAs / handoff manifests; parent
  7. Stay in this session — no wrapper restart. Resume with pi -c then

What it can do on your machine

Read from SKILL.md and the folder at commit c7b6b60. 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:

    • make
    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, 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

Rigor Queue Survey loads about 1.3k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 526 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 c7b6b60, republished under its MPL-2.0 licence (© rigortype). 526 words, ~1,345 tokens.

Download SKILL.mdSave it as .claude/skills/rigor-queue-survey/SKILL.md (or your agent's skills folder).
name
rigor-queue-survey
description
Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey). USE FOR: 「カバレッジの穴を収集」, 「順次着手」, survey coverage queue, fill survey holes, spawn rigor-lane subagents with disjoint survey targets. DO NOT USE FOR: parallel measurement on a shared survey checkout, release pre-clear (use rigor-queue-release), or cutting a gem release.

Rigor queue — survey coverage

Orchestrator-led, multi-turn, in-session queue. Primary entry: user runs pi in the Rigor repo (packages in .pi/settings.json) then /queue-survey or /skill:rigor-queue-survey. Same project session continues with pi -c.

Not a one-shot architect→lane.

See also: ../../roles/orchestrator.md, ../../contracts/README.md (QueueTurn), project agents under .pi/agents/ (rigor-lane, rigor-reviewer).

Requires project package npm:pi-subagents (listed in .pi/settings.json).

Hard rules (always)

  • Survey targets under measurement need disjoint checkouts; never share a measuring target across agents. Encode this in every spawn / LaneInput.
  • Managed worktree of rigor ≠ survey exclusivity. A pi-subagents managed worktree isolates the rigor implementation checkout only. It does not satisfy exclusivity of survey measurement trees such as ~/repo/ruby/rigor-survey/<project> (or /Users/megurine/repo/ruby/rigor-survey/<project>). Each measuring agent still needs its own disjoint survey target checkout; put that path in every LaneInput / spawn task.
  • Default survey root: ~/repo/ruby/rigor-survey (or /Users/megurine/repo/ruby/rigor-survey). Ask if unclear; accept a path from the user.
  • Prefer filing or linking Issues for holes (ADR-98), then sequential着手.
  • Lanes: push head SHA and stop; this parent owns CI. No parallel host make verify.
  • GitHub API: sparse CI polls (gh pr view --json statusCheckRollup), ≤1/min/PR.
  • Managed worktree fanout needs a clean source rigor checkout. Do not auto-merge worktree patches without a human.

Turn protocol (in this same session)

Every turn:

  1. Restate queue goal + constraints (survey root; disjoint survey target rule — separate from rigor managed worktrees).

  2. Show ranked backlog of coverage holes with evidence (survey paths, gh issue links). Prefer Issues over ad-hoc path lists when possible.

  3. Propose exactly one next unit of work (unless parallel spawn requested).

  4. Wait for user: next / do #N / skip / stop (JA: 次 / やる #N / スキップ / 止めて / ストップ). Also accept spawn / spawn N / 全部やれ / parallel.

  5. On go — prefer pi-subagents spawn (include disjoint survey target path in every LaneInput). Managed worktree: true applies to the rigor repo only; still assign unique survey checkouts.

    Caveat: use workflowScript + runs.run / runs.all for worktree: true (documented path). Direct { agent, task, worktree: true } is not the documented isolation path.

    Single:

    text
    subagent({
      async: true,
      worktree: true,
      workflowScript: `
        return runs.run("lane", {
          agent: "rigor-lane",
          task: args.task,
          worktree: true
        })
      `,
      args: { task: "<LaneInput including disjoint survey target path>" }
    })

    Parallel (spawn N / 全部やれ / parallel):

    text
    subagent({
      async: true,
      worktree: true,
      workflowScript: `
        return runs.all([
          { key: "h1", agent: "rigor-lane", task: args.t1, worktree: true },
          { key: "h2", agent: "rigor-lane", task: args.t2, worktree: true }
        ])
      `,
      args: { t1: "<LaneInput + survey checkout A>", t2: "<LaneInput + survey checkout B>" }
    })

    Fallback if pi-subagents unavailable: LaneInput + ./agents/pi-harness/scripts/run-role.sh lane with disjoint targets.

  6. After children return: collect head SHAs / handoff manifests; parent owns sparse CI polls; children must not CI-watch. Refresh queue, print Queue: N remaining | Next candidate: … | say next/stop.

  7. Stay in this session — no wrapper restart. Resume with pi -c then /queue-survey if needed.

Show full SKILL.md (143 more words)Show less

When to call architect / lane vs stay here

Stay in this sessionHand off
Collecting holes, ranking, proposing next unitArchitect: when a hole needs a fixed LaneInput
Filing/linking Issues for holesLane: prefer subagent → rigor-lane + rigor worktree and disjoint survey checkout; fallback run-role.sh lane
Waiting on next/skip/stop / spawnParallel measuring agents: unique survey targets always

Finish phrases

  • After proposing: wait for user.
  • Empty / stop: Survey holes cleared for now or Queue paused — resume with pi -c then /queue-survey
  • Blocked: Blocked — need human

Non-goals

  • Not sharing one measuring survey target across agents
  • Not treating a rigor managed worktree as a substitute for survey exclusivity
  • Not parallel host make verify or long CI sleep loops
  • Not a one-shot architect→lane without the wait step
  • Not inventing a backlog outside Issues when an Issue can be filed (ADR-98)
  • Not auto-merging managed worktree patches without a human

© 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

Just SKILL.md in agents/pi-harness/skills/rigor-queue-survey of rigortype/rigor.

Open the folder on GitHubat commit c7b6b60

Compare with similar skills

Rigor Queue Survey 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 Queue Survey compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rigor Queue Survey this skillrigortype/rigor106—~1.3kAutomated safety check: PassMPL-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official37k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

Similar skills

  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    37k GitHub starsUsed in 8 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 37 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Dispatching Parallel Agents

    ultralisp/ultralisp

    A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    258 GitHub starsUsed in 40 repos~1.5k tokens
    Agent WorkflowsAuto-check passed
  • Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.

    20k GitHub starsUsed in 1 repo~756 tokens
    Agent WorkflowsAuto-check passed
  • Task Observer

    rebelytics/one-skill-to-rule-them-all

    Monitors task execution for skill improvement opportunities.

    3.2k GitHub starsUsed in 1 repo~12k tokens
    Agent WorkflowsAuto-check passed
  • O2 Review Loop

    openobserve/openobserve

    Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.

    22k GitHub stars~3.7k tokensUpdated today
    Agent WorkflowsAuto-check passed

More from rigortype/rigor

All 36 skills in this repo
  • Rigor Regression Sweep

    rigortype/rigor

    Measure Rigor's baseline drift across the tagged history of a real OSS Ruby project.

    106 GitHub stars~2.9k tokensUpdated 5 days ago
    Auto-check passed
  • Adjudicate a rigor unused report safely before proposing dead-code removal.

    106 GitHub stars~1.1k tokensUpdated 5 days ago
    Auto-check passed
  • Rigor Baseline Reduce

    rigortype/rigor

    Reduce an existing .rigor-baseline.yml rule by rule by triaging sites, fixing or intentionally suppressing them, and regenerating the baseline.

    106 GitHub stars~1.3k tokensUpdated 5 days ago
    Auto-check passed
  • Rigor Doctor

    rigortype/rigor

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

    106 GitHub stars~767 tokensUpdated 5 days ago
    Auto-check passed
  • Rigor Plugin Author

    rigortype/rigor

    Author a new Rigor plugin, choosing plugins/ for production support or examples/ for a contract walkthrough.

    106 GitHub stars~3.3k tokensUpdated 5 days ago
    Auto-check: notes
  • Rigor Plugin Author

    rigortype/rigor

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

    106 GitHub stars~1.9k tokensUpdated 5 days ago
    Auto-check passed

Works with

Categories

Questions about Rigor Queue Survey

What does Rigor Queue Survey do?

Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey). Rigor Queue Survey is an agent skill from rigortype/rigor. Collect rigor-survey coverage holes and work them sequentially in an interactive pi session (/queue-survey).

When should I use Rigor Queue Survey?

Rigor Queue Survey fits situations like: survey coverage queue; fill survey holes; spawn rigor-lane subagents with disjoint survey targets; : parallel measurement on a shared survey checkout.

How do I install Rigor Queue Survey in Claude Code?

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

How do I install Rigor Queue Survey in Codex?

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

Can I use Rigor Queue Survey 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-queue-survey -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-queue-survey, .gemini/skills/rigor-queue-survey, .github/skills/rigor-queue-survey and .opencode/skills/rigor-queue-survey in your project.

What does Rigor Queue Survey need to run?

Going by SKILL.md and its folder, Rigor Queue Survey needs the command-line tools its instructions call (make and gh).

Does Rigor Queue Survey access the network?

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

Is Rigor Queue Survey 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 Queue Survey use?

Rigor Queue Survey is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rigor Queue Survey use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Rigor Queue Survey?

Skills that share tags, products or a category with Rigor Queue Survey: Claude Code Agent Development (anthropics/claude-plugins-official, 37k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rigor Queue Survey?

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 2, 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.