double-check
Skill15 starsChanged 15 days agoApache-2.0View on GitHub
Targeted re-verification of a specific claim, output, or decision. Re-read sources, challenge, cross-reference, and deliver a verdict. Trigger when the user runs /double-check or asks to "verify this", "re-check this", "are you sure about this", "go over this again", or "make sure this is right". Not /verify (formal phase gate needing intent+plan+execution artifacts) or /insight-critique (advisory review of an output) — double-check is a quick targeted re-read of one claim.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- tony/skillstheir own version, first seen Oct 31, 2026
- p3bot/librarytheir own version, first seen Oct 31, 2026
- conjurer-rich/skillstheir own version, first seen Oct 25, 2026
- mrtooher/fable-modetheir own version, first seen Oct 24, 2026
- mehrad-dm/mastermindtheir own version, first seen Oct 13, 2026
- OHOKAYYEAH/claude-skillstheir own version, first seen Oct 13, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- mrtooher/fable-mode★ 878same name
- gsarig/skills★ 30same name
- mehrad-dm/mastermind★ 23same name
- p3bot/library★ 10same name
- david-vrba/claude-power-skills★ 4same name
- conjurer-rich/skills★ 1same name
- OHOKAYYEAH/claude-skills★ 1same name
- thepictishbeast/claude-tools★ 1same name
- mdalfianahmad/double-check★ 0same name
- tony/skills★ 0same name
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 repository95 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- agent-mailboxSkill
- agent-outputSkill
- ask-gateSkill
- ask-meSkill
- audit-coupled-constantSkill
- budget-checkSkill
- build-prototypeSkill
- caller-optionsSkill
- cold-reviewSkill
- debug-taskSkill
- define-termsSkill
- defuddleSkill
- design-an-interfaceSkill
- diff-recapSkill
- directives-auditSkill
- domain-checkSkill
- extract-signalSkill
- freshness-contractSkill
- github-syncSkill
- handoff-executeSkill
- handoffSkill
- headless-claudeSkill
- headless-codexSkill
- headless-geminiSkill
- headless-grokSkill
- headless-modelsSkill
- headless-update-modelsSkill
- headless-usageSkill
- human-drawSkill
- human-mergeSkill
- human-outputSkill
- human-rewriteSkill
- implement-taskSkill
- improve-codebase-architectureSkill
- insight-adversarialSkill
- insight-anglesSkill
- insight-assessSkill
- insight-critiqueSkill
- insight-cross-examineSkill
- insight-exploreSkill
- insight-premortemSkill
- insight-reference-classSkill
- insight-retroSkill
- insight-root-causeSkill
- insight-skill-gapSkill
- insight-test-assumptionSkill
- insight-value-of-informationSkill
- investigateSkill
- json-canvasSkill
- map-checkSkill
- map-initSkill
- map-maintainSkill
- map-rulesSkill
- map-thisSkill
- monorepo-depsSkill
- multi-agent-modeSkill
- next-skillsSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
6
Distinctive
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 88
If the target is already solid, say so with evidence — but don't stop looking just because it seems fine.
- Distinctive: line 106
MUST go back to actual sources when re-reading — never verify from memory or prior analysis alone
- Distinctive: line 107
MUST be adversarial when challenging — actively look for problems, don't just confirm
- Distinctive: line 108
MUST cite evidence for every conclusion in the verdict
- Distinctive: line 109
MUST NOT rubber-stamp without substantive analysis
- Distinctive: line 110
SHOULD offer to apply fixes and run another pass when verdict is IMPROVED
“Common” is measured: kept by at least 6 in 10 of the 10 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
/double-check
Multi-pass re-verification of a plan, output, decision, or document — re-read from scratch, challenge assumptions, propose improvements, and iterate until solid.
Re-Read & Improve Protocol — not a single-pass gate. The agent re-reads the target fresh, challenges each part, proposes improvements, and iterates. Each pass tightens the result.
Structured execution spec:
protocol.yon. It carries the five phases, the scope/verdict gates, and the rules as validatable records; this file is the explanation. Keep the two in sync — edit one, update the other and refresh the@STAMPdate.
Caller Options. Before executing, run the Caller Options protocol (
caller-options/SKILL.md): triage this invocation for material optionality across the venues and modes declared in front-matter; if one path clearly dominates, proceed silently; otherwise surface the options to the caller. A resolved-invocation marker means COP already ran — execute the fixed combination directly, do not re-enter COP.
Phase 1: Scope
Identify what is being double-checked — a plan, an output, a decision, a document. Load it fresh. Do not rely on prior context or cached understanding.
Gate: Cannot double-check without a clear target. If the target is ambiguous, ask before proceeding.
Phase 2: Fresh Re-Read
Re-read the target from scratch as if seeing it for the first time. Go back to the actual sources — files, code, docs. Do not verify from memory or prior analysis alone.
Summarize:
- What it says
- What it assumes (implicit and explicit)
- What it depends on
List every assumption, stated or unstated.
Phase 3: Challenge
Challenge each part of the target. Be adversarial — actively try to find problems.
For plans: Are any steps wrong, missing, out of order, or unnecessary? For outputs: Are any claims unsupported? For decisions: Were alternatives considered?
Look for:
- Gaps and omissions
- Wrong or unstated assumptions
- Over-engineering or under-engineering
- Scope issues
- Ordering issues
- Missing dependencies
Phase 4: Improve
Propose concrete improvements based on the challenge findings.
For each issue found:
- State the problem
- Propose the fix
- Explain why it's better
If the target is already solid, say so with evidence — but don't stop looking just because it seems fine.
Phase 5: Verdict
Deliver one of three verdicts:
- SOLID — target holds up under scrutiny; cite evidence
- IMPROVED — issues found and fixes proposed; list them; offer to apply and run another pass
- RETHINK — fundamental problems; explain what needs to change
Gate: Double-check is incomplete without a verdict delivered to the user.
Rules
- MUST go back to actual sources when re-reading — never verify from memory or prior analysis alone
- MUST be adversarial when challenging — actively look for problems, don't just confirm
- MUST cite evidence for every conclusion in the verdict
- MUST NOT rubber-stamp without substantive analysis
- SHOULD offer to apply fixes and run another pass when verdict is IMPROVED
Next Steps
/plan-execute— if verdict is SOLID/plan-create— if verdict is RETHINK (redesign needed)
Human output. This skill's handler-facing output obeys the human-output contract (
human-output/SKILL.md).
Self-improvement. On completion, run the Self-Improvement Protocol (
self-improve/SKILL.md): apply its signal taxonomy and threshold to this run; surface any surviving proposal for handler approval. Conservative — silent otherwise. Never auto-apply.
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.

