Installs from a downloaded package and may run local commands or scaffold files as part of the workflow; review the package and any generated changes before applying.
Privacy notes
Operates on your local project files and any context you share in the session; review what you expose before sharing — nothing is sent beyond the model unless a step calls an external service.
Current risk score 0/100. Use staged verification before broader rollout.
Risk 0
Pre-adoption checks
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Done
Confirm metadata review state
Listing has review metadata.
Done
Verify install payload
Install/config payload exists and can be inspected.
Done
Security checks
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Done
Review privacy notesRequired
Privacy notes are present.
Done
Verify package integrity metadata
Package verification/checksum metadata is available.
Done
Rollout
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Pending
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Pending
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Pending
Evidence readiness
Evidence readiness matrix · balanced
Required evidence gates are covered (6/6 signals complete).
Risk 0
Source provenance
Present
Source repository/provenance is listed.
Required in this preset
Metadata review
Present
Review metadata is present.
Required in this preset
Safety notes
Present
Safety notes are present.
Required in this preset
Privacy notes
Present
Privacy notes are present.
Optional in this preset
Package integrity
Present
Package integrity metadata is present.
Optional in this preset
Install payload
Present
Install payload is available.
Required in this preset
Required evidence gates are covered for this preset.
Decision timeline
Decision timeline · balanced
6/6 steps complete with no blocking gaps for this preset.
Risk 0
triage
Confirm source provenanceRequired
Source/provenance metadata is available.
Done
triage
Check metadata review statusRequired
Review metadata is available.
Done
verify
Review safety notesRequired
Safety notes are available.
Done
verify
Review privacy notes
Privacy notes are available.
Done
verify
Validate package integrity metadata
Package integrity metadata is available.
Done
rollout
Verify install payload and commandsRequired
Install payload is available.
Done
No required blockers for this timeline preset.
Prerequisite readiness
Prerequisite readiness
3 prerequisites to line up before setup.
0/3 ready
General3
Safety & privacy surface
Safety & privacy surface
1 safety and 1 privacy notes across 2 risk areas. Review closely: credentials & tokens, network access.
2 areas
SafetyNetwork accessInstalls from a downloaded package and may run local commands or scaffold files as part of the workflow; review the package and any generated changes before applying.
PrivacyCredentials & tokensOperates on your local project files and any context you share in the session; review what you expose before sharing — nothing is sent beyond the model unless a step calls an external service.
Safety notes
Installs from a downloaded package and may run local commands or scaffold files as part of the workflow; review the package and any generated changes before applying.
Privacy notes
Operates on your local project files and any context you share in the session; review what you expose before sharing — nothing is sent beyond the model unless a step calls an external service.
.gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md
cursor
Adapter
.cursor/rules/<skill-name>.mdc
cli
Manual
AGENTS.md or tool-specific context file
Full copyable content
# Trigger
"Apply the AI business idea validation capability pack."
# Required output
1) Problem and buyer segmentation
2) Demand signals and competitor map
3) Pricing and offer hypothesis
4) Go/no-go decision with evidence
About this resource
Knowledge Freshness
This capability pack is pinned to sources verified on 2026-04-11.
Show that AI Business Idea Validation Capability Pack Skill is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/skills/ai-business-idea-validation-capability-pack)
How it compares
AI Business Idea Validation Capability Pack Skill side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).
Next steps differ across entries — use the actions in the table below to copy install commands and source links per resource.
Expert Claude Code computer use GUI QA capability pack that applies documented computer-use MCP enablement, per-app session approval, screenshot checkpoints, and macOS permission workflows for native app validation—not an official Anthropic QA product.
✓Installs from a downloaded package and may run local commands or scaffold files as part of the workflow; review the package and any generated changes before applying.
✓Use this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them.
Apply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
✓ZIP archives can bundle scripts and hooks—scan for outbound network calls before distribution.
Do not publish archives containing secrets, tokens, or personal machine paths.
Treat installable skill zips as supply-chain artifacts requiring checksum publication.
✓Computer use controls real desktop apps with per-app session approval—not sandboxed Bash.
Review sentinel warnings before approving Terminal, Finder, or System Settings access.
Press Esc or Ctrl+C to stop computer use and release the machine-wide lock immediately.
Only one Claude Code session can hold the computer-use lock at a time.
Privacy notes
✓Operates on your local project files and any context you share in the session; review what you expose before sharing — nothing is sent beyond the model unless a step calls an external service.
✓Inputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model.
Redact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
✓Example prompts in skills may contain internal codenames—redact before public release.
QA logs may capture file paths from developer machines—sanitize shared reports.
✓Screenshots are downscaled before model upload but may still capture sensitive UI content.
Your terminal window is excluded from screenshots per official documentation.
Redact customer or proprietary UI details before sharing screenshot evidence externally.
Other visible apps are hidden while Claude works; still minimize sensitive windows before starting.
Prerequisites
Problem domain hypothesis
Target user segment
Time and budget constraints
Product hypothesis
Free-tier account access
Launch KPI targets
Skill source tree or ZIP archive ready for QA.
Claude Code profile to test local skill discovery.
Checklist owner before publishing to marketplace or HeyClaude.
Interactive Claude Code session on macOS v2.1.85+ with Pro or Max plan per computer-use docs.
computer-use MCP server enabled through /mcp for the project.
macOS Accessibility and Screen Recording permissions granted when prompted.
Disposable QA target app or simulator without live customer data on screen.