deep-sweep
Red-team a plan before implementation by checking assumptions, scope, failure modes, security, dependencies, and proof.
Skill by itsAR-VR
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/itsar-vr-deep-sweep
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deep-sweep
What's inside
- Skill name
deep-sweep- Description
- Red-team a plan before implementation by checking assumptions, scope, failure modes, security, dependencies, and proof. Use before deep-build on nontrivial work.
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Deep Sweep Review the plan, not the implementation. Check: - Does the goal describe an observable outcome? - Are assumptions separated from verified facts? - Is the scope the smallest useful version? - Does the plan follow existing repository patterns? - Are trust boundaries, permissions, private data, and destructive actions handled? - Are failure, empty, retry, rollback, and partial-success paths covered? - Are dependencies necessary, maintained, and already available where possible? - Can every success claim be proven by a test, readback, rendered artifact, or live surface? - Are human or external gates named with an owner? Return only material findings. For each one, give the failing assumption, consequence, and smallest correction. If there are no material findings, return `NO FINDINGS`.
From itsAR-VR/public-skills, MIT.
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End-to-end development workflow for repositories that use phase planning, red-team review, implementation, pull requests, independent review, and deployment…
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deep-clean
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Remove accidental complexity after a working implementation without changing behavior.
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brave-search
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Web search and content extraction via Brave Search.
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deep-build
itsAR-VR
Execute an approved implementation plan in small verified slices.
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goal-post
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Turn an outcome into a machine-checkable goal contract with actor, verifier, stop conditions, evidence, and human gates.
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 1
- Last commit (this folder)
- Jul 14, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/itsAR-VR/public-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from itsAR-VR
- 0.474score
adcrate-cold-audience
itsAR-VR
Use when writing, rewriting, reviewing, or generating any copy or content for a cold or low-context audience that does not already know, trust, or actively…
SkillCFreshness: CClaude Code +9 - 0.471score
dev-workflow
itsAR-VR
End-to-end development workflow for repositories that use phase planning, red-team review, implementation, pull requests, independent review, and deployment…
SkillCFreshness: CClaude Code +9 - 0.467score
deep-build
itsAR-VR
Execute an approved implementation plan in small verified slices.
SkillCFreshness: CClaude Code +9 - 0.467score
brave-search
itsAR-VR
Web search and content extraction via Brave Search.
SkillCFreshness: CClaude Code +9 - 0.467score
deep-clean
itsAR-VR
Remove accidental complexity after a working implementation without changing behavior.
SkillCFreshness: CClaude Code +9 - 0.467score
goal-post
itsAR-VR
Turn an outcome into a machine-checkable goal contract with actor, verifier, stop conditions, evidence, and human gates.
SkillCFreshness: CClaude Code +9
Cite this page
deep-sweep skill. Agent Mart. https://agentmart.dev/skills/itsar-vr-deep-sweep (last updated 2026-10-24)