Agent skill

Plan Interrogate

by rohitg00 in rohitg00/pro-workflow

Stress-test a plan by walking its decision tree one question at a time.

No licenceAuto-check passedTesting & QA

Install Plan Interrogate

skills CLI
$ npx skills add rohitg00/pro-workflow --skill plan-interrogate -a claude-code

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

GitHub CLI
$ gh skill install rohitg00/pro-workflow plan-interrogate --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/rohitg00/pro-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plan-interrogate .claude/skills/plan-interrogate && 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
plan-interrogate
GitHub stars
2.9k
Token cost
~855 tokens
SKILL.md length
500 words
Files
1
Skills in repo
41
Repo updated
First seen
Licence
None found

At a glance

Stress-test a plan by walking its decision tree one question at a time.

  • Works in 7 steps: Restate the plan in one paragraph.… → Extract the decision tree. Every branch… → Resolve in dependency order. A node is… → …
  • The user wants to pressure-test a design before implementation
  • SKILL.md covers Method, Anti-patterns, Outputs and Output contract
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan Interrogate is an agent skill from rohitg00/pro-workflow. Stress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.

Its SKILL.md is about 860 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 Testing & QA, covering Load testing. The repository describes itself as: Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested…

When your agent uses it

  • The user wants to pressure-test a design before implementation
  • Tasks that involve Load testing

Example prompts

  • “/plan-interrogate”

Workflow steps

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

  1. Restate the plan in one paragraph. Confirm with the user that this is
  2. Extract the decision tree. Every branch point becomes a node. Mark
  3. Resolve in dependency order. A node is ready when every node it
  4. For each ready open node, ask exactly one question. Keep the question
  5. Pair every question with a recommended answer and one sentence of
  6. Before asking, check whether the answer already lives in the codebase,
  7. Exit only when zero nodes are open. Print the resolved tree as a flat

What it can do on your machine

Read from SKILL.md and the folder at commit 86d5f27. 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.

    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

Plan Interrogate loads about 855 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 500 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~855

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 500 words (~855 tokens).

“Drive a plan from sketch to commitment by resolving every open decision before any code is written.”

— opening of SKILL.md by rohitg00
name
plan-interrogate
user-invocable
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/plan-interrogate of rohitg00/pro-workflow.

Open the folder on GitHubat commit 86d5f27

Compare with similar skills

Plan Interrogate 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.

Plan Interrogate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Plan Interrogate this skillrohitg00/pro-workflow2.9k—~855Automated safety check: PassNone
Workflow Reviewnabeelhyatt/coworkpowers114—~1.3kAutomated safety check: PassMIT
Ask Colleaguenickwinder/synthteam103—~1.4kAutomated safety check: PassNone
Plan ReviewMathews-Tom/armory327—~1.9kAutomated safety check: PassMIT
Grillingbestofjs/bestofjs3.1k30 repos~464Automated safety check: PassMIT
Microbenchmarkingdotnet/skills5.6k3 repos~3.3kAutomated safety check: PassMIT

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Questions about Plan Interrogate

What does Plan Interrogate do?

Stress-test a plan by walking its decision tree one question at a time. Plan Interrogate is an agent skill from rohitg00/pro-workflow. Stress-test a plan by walking its decision tree one question at a time.

When should I use Plan Interrogate?

Plan Interrogate fits situations like: the user wants to pressure-test a design before implementation; tasks that involve Load testing.

How do I install Plan Interrogate in Claude Code?

Run `npx skills add rohitg00/pro-workflow --skill plan-interrogate -a claude-code`. Or copy the skill folder (skills/plan-interrogate in rohitg00/pro-workflow) into .claude/skills/plan-interrogate in your project. Claude Code loads it when a task matches its description.

How do I install Plan Interrogate in Codex?

Run `npx skills add rohitg00/pro-workflow --skill plan-interrogate -a codex`. Or copy the skill folder (skills/plan-interrogate in rohitg00/pro-workflow) into .agents/skills/plan-interrogate in your project. Codex loads it when a task matches its description.

Can I use Plan Interrogate 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 rohitg00/pro-workflow --skill plan-interrogate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan-interrogate, .gemini/skills/plan-interrogate, .github/skills/plan-interrogate and .opencode/skills/plan-interrogate in your project.

What does Plan Interrogate need to run?

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

Does Plan Interrogate 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 Plan Interrogate 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 Plan Interrogate use?

No licence was found for Plan Interrogate or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Plan Interrogate use?

About 855 tokens (SKILL.md is roughly 3.4k 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 Plan Interrogate?

Skills that share tags, products or a category with Plan Interrogate: Workflow Review (nabeelhyatt/coworkpowers, 114 stars), Ask Colleague (nickwinder/synthteam, 103 stars), Plan Review (Mathews-Tom/armory, 327 stars) and Grilling (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan Interrogate?

rohitg00 (a GitHub user) maintains it in rohitg00/pro-workflow, which has 2,906 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on September 29, 2026.

Source: rohitg00/pro-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.