privacy-safe-evidence
Collect useful automation evidence without leaking private app, device, account, or user data.
Skill by neonwatty
Chalk Labs
Need help deploying privacy-safe-evidence?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/neonwatty-privacy-safe-evidence
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: data
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/privacy-safe-evidence
What's inside
- Skill name
privacy-safe-evidence- Description
- Collect useful automation evidence without leaking private app, device, account, or user data.
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Privacy-Safe Evidence Use this skill before collecting screenshots, accessibility trees, logs, or receipts from Apple automation. ## Default Policy Allowed: - result bundle paths - sanitized summaries - hashes and counts - sterile fixture screenshots - command classes and exit codes Not allowed: - tokens or API keys - raw private accessibility trees - screenshots of personal apps or accounts - message, email, reminder, contact, or phone content - private URLs - unredacted device identifiers ## Receipt Each receipt should include: - timestamp - command class - adapter name - artifact paths - pass/fail classification - privacy assertions - strongest attempted disproof When in doubt, redact and keep the raw artifact local or omit it entirely.
From neonwatty/apple-agent-kit, MIT.
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Inspect an Apple app repository and recommend macOS/iOS automation setup before editing workflows or scripts.
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Run a slim Codex-native closeout review for Apple Agent Kit branches and PRs before commit, PR, or merge.
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Prepare and run privacy-aware physical iPhone automation with Xcode, WDA/Appium, or XCTest UI tests.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 24, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/neonwatty/apple-agent-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.502score
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Run a Codex-native, read-only structured closeout review for a local branch, PR diff, dirty patch, or commit before merge or ship.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
ios-simulator-fixture-ui-smoke
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Add or run privacy-safe iOS simulator fixture UI smoke automation for Apple app repositories.
SkillCFreshness: C★ 1Claude Code +9 - 0.493score
macos-fixture-ui-smoke
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Add or run privacy-safe macOS fixture UI smoke automation for Apple app repositories.
SkillCFreshness: C★ 1Claude Code +9 - 0.491score
macos-ci-smoke
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Add or run proof-driven macOS build, test, coverage, and app-smoke automation for an Apple app repository.
SkillCFreshness: C★ 1Claude Code +9 - 0.491score
macos-runner-health
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Preflight and clean up self-hosted GUI macOS runners used by agents or CI workflows.
SkillCFreshness: C★ 1Claude Code +9 - 0.491score
xcresult-proof
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Inspect Xcode result bundles and produce auditable test, failure, coverage, and artifact summaries.
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
privacy-safe-evidence skill. Agent Mart. https://agentmart.dev/skills/neonwatty-privacy-safe-evidence (last updated 2026-10-24)