interrogate
Skill0 starsChanged 35 days agoMITView on GitHub
Surface the guesses in a task before starting. Use when asked to interrogate, grill, ask questions first, or clarify an underspecified request. Produces a short execution brief and only asks questions that would change the work.
73 other projects use a version of this.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- caidanw/skillstheir own version, first seen Nov 8, 2026
- thensls/nsls-builder-toolkittheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- endqwerty/endstacktheir own version, first seen Nov 8, 2026
- MammadovEshgin/clean-code-skilltheir own version, first seen Nov 8, 2026
Used with
Projects with it also use ketchup-video, principle-explain-the-number and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
tristanphvnSkillketchup-video
Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.
Also in 14 projects that use this
ianclearySkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
Also in 29 projects that use this
eryzerzSkillmake-bot-ui
Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.
Also in 20 projects that use this
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
Also in 25 projects that use this
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 14 projects that use this
Xia-AtaraxiaSkillbenchmark-checklist
Vets performance measurements for the limiter, tuning, physical limits, errors, repeatability, relevance, and proof that timed work happened. It applies to 'check this benchmark', 'report this speedup', measured regressions, and choosing a library or configuration from numbers. It reports spread and gaps before drawing a conclusion. Not for general testing policy or choosing test oracles - use principle-testing.
Also in 37 projects that use this
Other versions73 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 73
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- backnotprop/pstack★ 3.8ksame name
- moeru-ai/xsai★ 667same name
- savannahfeder/agentbox★ 376same name
- jtaroreh/agystack★ 128same name
- uzairansaruzi/p3-stack★ 126same name
- dsebban/skills★ 71same name
- overextended/skills★ 22same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
63 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- define-doneSkill
- jevifySkill
- loop-builderSkill
- opascopeSkill
- openrouterSkill
- optimizeSkill
- planningSkill
- session-handoffSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 73 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Read shared.md first. Save the final brief with kind brief.
- Distinctive: line 21
Read the request, conversation, existing task artifacts, relevant files and tool help.
- Distinctive: line 33
Ask up to three independent questions per round.
- Distinctive: line 35
Do not ask a dependent question until the answer to its parent is known.
- Distinctive: line 36
Follow the shared runtime path, including its text fallback and wait.
- Distinctive: line 55
Keep it short: goal; what done looks like.
“Common” is measured: kept by at least 6 in 10 of the 73 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Interrogate a request before an agent starts work
Read shared.md first. Save the final brief with kind brief.
Unspecified choices tend to feel settled because you filled them in yourself. Make those choices visible: draft the spec you are about to execute and classify its claims. A small task can have no material guesses; do not manufacture any.
Procedure
- Read the request, conversation, existing task artifacts, relevant files and tool help. Resolve what the environment can answer before involving the user.
- Draft goal, audience, constraints, non-goals and the first approach decisions. Mark each claim SAID (the user supplied it), FOUND (verified, with its source) or GUESSED (an assumption). A plausible inference is still GUESSED. Give each label its own line. A GUESSED line states only the guess and never repeats a SAID fact, such as a file name the user gave. If the user named report.md, write "GUESSED: the output goes in the project root", not "GUESSED: report.md goes in the project root".
- For each guess: investigate if locally answerable; keep an explicit default if every plausible answer leads to the same work; otherwise queue a question. Order scope-changing questions before dependent details and taste choices.
- Ask up to three independent questions per round. Each asks one concrete decision and offers concrete hypotheses, with the recommendation first. Do not ask a dependent question until the answer to its parent is known. Follow the shared runtime path, including its text fallback and wait.
- Package the resulting brief and proceed only as far as the request authorizes.
Modes and stopping
Light is default: one question round, then publish the brief with remaining assumptions explicit. If an unanswered choice blocks authorized execution, name that blocker instead of treating the round limit as permission to guess.
Heavy applies when the user asks to be grilled or wants full interrogation. Announce that they can say "proceed" at any point. Before another round, try to predict each remaining answer. If confidence is sufficient for a reversible default, record that default instead of asking. Then imagine the delivered work disappoints the user: any failure caused by an unresolved material choice becomes a new question. Stop when that exercise yields no material uncertainty, or the user says proceed. Proceed never supplies missing authority for external actions.
Brief
Keep it short: goal; what done looks like; audience; constraints; non-goals; decisions from answers; verified facts and sources; defaults the user can veto. Retain SAID/FOUND/GUESSED labels where they help the next session distinguish evidence from assumptions. Publish and read back the brief, then reference its path in the response. Zero questions is a valid result: "No material gaps."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

