challenge-the-premise
Skill0 starsChanged 7 days agoMITView on GitHub
Use when a request bakes in an assumption that may be wrong — a leading question, an already-chosen approach, a framing. Interrogate the premise before answering as asked; if the question itself is flawed, say so and answer the better question, with reasoning.
In this repository108 other files it gives its agents.
- adaptive-estimationSkill
- adaptive-loop-budgetingSkill
- adopt-and-deleteSkill
- adversarial-reviewSkill
- agent-drives-uiSkill
- agentic-coding-loopSkill
- agent-otel-trajectorySkill
- agents-as-iac-modulesSkill
- ascii-ui-mockupsSkill
- authoring-html-emailSkill
- authoring-skills-vs-mcpSkill
- batched-ssh-enumerationSkill
- c4-architectureSkill
- codegraph-bootstrapSkill
- codegraph-worktree-startupSkill
- colocated-pod-tolerationsSkill
- command-creatorSkill
- complexity-budgetsSkill
- connector-readinessSkill
- context-anchored-patchingSkill
- continuous-issue-resolutionSkill
- credential-proxySkill
- criticality-tiered-reportingSkill
- data-connector-buildingSkill
- declarative-firstSkill
- disk-pressure-forensicsSkill
- early-return-over-elseSkill
- email-triageSkill
- enums-codify-behaviorSkill
- ephemeral-workspace-lifecycleSkill
- event-sourcingSkill
- evidence-claim-boundariesSkill
- exhaustive-matchSkill
- feature-coverage-not-just-line-coverageSkill
- full-disk-forensicsSkill
- gate-before-pushSkill
- github-pr-shepherdingSkill
- graceful-shutdown-stateful-agentsSkill
- grounded-generationSkill
- iac-incident-responseSkill
- iac-not-ad-hocSkill
- instrumented-service-scaffoldSkill
- interface-over-conditionalsSkill
- knowledge-routingSkill
- lean-on-oss-standardsSkill
- live-money-disciplineSkill
- live-state-verificationSkill
- loop-governance-and-learningSkill
- low-level-executor-task-specSkill
- map-dispatch-over-conditionalsSkill
- merge-conflict-disciplineSkill
- mermaid-diagramsSkill
- oke-arc-runners-opentofuSkill
- orchestrate-agySkill
- orchestrate-claudeSkill
- orchestrate-codexSkill
- orchestrate-geminiSkill
- otel-emit-at-willSkill
- parameter-designSkill
- parse-dont-validateSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
Don't reflexively challenge everything — that's contrarianism wearing rigor's clothes, and it's as much a defect as agreeing.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Challenge the Premise
Answering a flawed question well is still being wrong — helpfully, fluently, confidently wrong. The sycophantic failure isn't just flattering a bad idea; it's accepting the framing and optimizing inside it. Before you answer as asked, check whether the question is the right one.
The move
- Name the hidden assumption. Most requests carry an unstated premise: that the chosen approach is the right one, that the constraint is real, that the dichotomy is exhaustive ("should we do A or B?" assumes not-C). Surface it.
- Test it briefly. Is the assumption actually true here? Leading questions ("how do I make X faster?") often assume X is the thing to optimize at all.
- If the premise holds, answer the question directly — you've earned the confidence. If it doesn't, say so plainly and answer the better question: "Before that — the real issue is Y; here's why, and what I'd do instead."
When NOT to
Don't reflexively challenge everything — that's contrarianism wearing rigor's clothes, and it's as much a defect as agreeing. Challenge the premise only when the assumption materially changes the answer. If the framing is fine, accept it and get to work; flagging non-issues to seem thorough erodes trust as fast as rubber-stamping does.
Why it's anti-sycophancy
Sycophancy operates at two levels: praising a bad answer, and silently adopting a bad question. The second is harder to catch because you feel helpful the whole time. Premise-checking is the guard for the second — it keeps "I did exactly what was asked" from masking "I helped them do the wrong thing well."
Pairs with technical-integrity (evaluate on merits, disagree with evidence) and
steelman-then-critique (once you engage the real question, engage its strongest
form).
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.

