Skip to main content

Browse the directory

Showing 30 of 60 resources for "privacy"
Saved
Active

57 review · 3 limited in this set — compare to see which signals differ.

Trust snapshot

Trust signals across 40 of 60 results

Claimed
0%(0/40)

2 trust signals differ in this sample: Source provenance, Submitter

Signals differ on Source provenance, Submitter — add entries to compare before you install.

Rollout signal scan

2 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

12 scanned

Install payload

Install payload is broadly covered in current results.

good

100% (12/12)

Adoption queue

Browse adoption queue · balanced

4/60 visible results are in hold tier and need mitigation before adoption.

ready 0caution 56hold 4
caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

guides/llm-agent-application-observability · trust review · confidence 67%

Agent Skill QA Reviewer Agent

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

agents/agent-skill-qa-reviewer-agent · trust review · confidence 67%

AI Assistant Secret Handling Rules

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

rules/ai-assistant-secret-handling-rules · trust review · confidence 67%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

agents/ai-workflow-privacy-compliance-review-agent · trust review · confidence 67%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

rules/ai-generated-frontend-accessibility-review-rules · trust review · confidence 67%

AI-Generated Path Traversal Review Rules

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

rules/ai-generated-path-traversal-review-rules · trust review · confidence 67%

AI-Generated Regex Safety Review Rules

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

rules/ai-generated-regex-safety-review-rules · trust review · confidence 67%

Decision confidence

Decision confidence scan · balanced

1/60 results are low-confidence and need review before adoption.

high 0medium 59low 1

Agent Skill QA Reviewer Agent

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

agents/agent-skill-qa-reviewer-agent · trust review

AI Assistant Secret Handling Rules

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

rules/ai-assistant-secret-handling-rules · trust review

AI Workflow Privacy Compliance Review Agent

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

agents/ai-workflow-privacy-compliance-review-agent · trust review

AI-Generated Frontend Accessibility Review Rules

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

rules/ai-generated-frontend-accessibility-review-rules · trust review

AI-Generated Path Traversal Review Rules

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

rules/ai-generated-path-traversal-review-rules · trust review

AI-Generated Regex Safety Review Rules

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

rules/ai-generated-regex-safety-review-rules · trust review

Freshness distribution

Current results are broadly fresh

Median age 51 days; all 12 scanned entries are within 90 days.

median 51d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

0%

0 entries

Theme distribution

Themes are broadly spread across this view

90 distinct themes with no dominant one. Most common: privacy, code-review, capability-pack.

Diverse

90 distinct themes across 24 scanned

Expert capability pack for drafting accurate safetyNotes and privacyNotes on HeyClaude hooks, MCP servers, skills, commands, and statuslines using CONTRIBUTING.md disclosure requirements and submission examples.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓

Source-backed rules for AI workflow directories that need consistent privacy metadata before accepting entries that touch prompts, files, local tools, hosted services, telemetry, generated artifacts, or personal data.

A source-backed collection for private research workflows: local-first planning, reproducible notebooks, local analytical processing, redaction, human review datasets, trace review, and secret scanning before outputs are shared.

Expert capability pack for Agent SDK OpenTelemetry export using CLAUDE_CODE_ENABLE_TELEMETRY, OTLP exporters, and monitoring-usage reference variables documented for Claude Code CLI subprocesses.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓

Expert incident timeline reconstruction capability pack for correlating deploy events, logs, traces, alerts, and chat transcripts into a source-backed, privacy-safe post-incident timeline with validation checkpoints.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓

Expert maintainer pull request triage capability pack for classifying open PRs, applying labels, routing reviewers, checking merge readiness, and producing privacy-safe queue summaries using GitHub pull request documentation workflows.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓

Browser-control MCP server and CLI that lets AI agents use a real Chrome session, including logged-in browser state, site adapters, DOM snapshots, authenticated fetches, network traces, screenshots, and page actions.

PreToolUse hook that reviews proposed writes to MCP configuration files and blocks inline credential values, credential-bearing URLs, and broad filesystem roots before they are saved.

Trigger:PreToolUse
Safety ✓ Privacy ✓
PostHog logo

Add PostHog to a Next.js app with client and server event capture, user identification, feature flags, session replay privacy controls, reverse-proxy planning, and production analytics validation.

Level:advancedType:generalVerified:validated
Safety ✓ Privacy ✓

Source-backed rules for reviewing feature flag changes across their full lifecycle, covering flag creation, naming, default values, kill switches, targeting, rollout safety, cleanup of stale flags, and privacy-safe configuration evidence.

Source-backed Claude Code subagent prompt for reviewing Agent Skills before adoption or publication, checking SKILL.md scope, descriptions, invocation control, supporting files, tool permissions, helpfulness, safety, and privacy risks against official Claude Code skills guidance.

Source-backed agent for reviewing AI workflow submissions before publication with data-flow mapping, privacy metadata, governance evidence, MCP/tool authority checks, retention disclosure, and compliance escalation gates.

Source-backed rules for AI coding assistants that must avoid exposing, copying, logging, committing, or normalizing secrets while editing code, configs, tests, prompts, documentation, and CI workflows.

Source-backed rules for reviewing AI-generated frontend UI changes for accessibility before merge, with semantic HTML, keyboard paths, focus management, labels, automated scan limits, manual checks, and privacy-safe evidence.

Source-backed rules for contributor pull requests that need clear commit messages, release-note-ready changelog entries, issue links, breaking-change markers, and privacy-safe history.

Source-backed rules for deciding when an AI-assisted code review must escalate high-risk changes to security, infrastructure, data, release, or domain owners before merge.

Source-backed rules for safely connecting MCP servers that expose local tools, resources, prompts, roots, transports, credentials, files, and logs to AI clients during active development sessions.

Source-backed rules for reviewing production database migrations before merge with lock-risk checks, expand-contract rollout, backfill controls, rollback limits, and privacy-safe migration evidence.

LocalAI logo
LocalAIby mudler · submitted by davion-knight

Open-source, self-hostable AI engine that runs LLMs, vision, voice, image, and video models on your own hardware behind one API, with drop-in OpenAI, Anthropic, and ElevenLabs API compatibility, composable on-demand backends, and no GPU required.

PreToolUse Write and Edit guardrail combining the hooks guide protected-file pattern with a local scan for common hardcoded credential shapes called out by GitHub secret scanning guidance before content is written.

Trigger:PreToolUse
Safety ✓ Privacy ✓

Community reusable agent prompt for mapping Claude Code deployments to zero data retention requirements using official ZDR docs: logging boundaries, MCP data flows, session storage, and compliance evidence checklists for security review.

Source-backed rules for reviewing application logging changes, covering structured machine-readable events, consistent levels, correlation and trace context, actionable messages, log volume and cost, and keeping secrets and personal data out of logs.

A practical guide for handling secrets when connecting MCP servers and authoring Agent SDK tools in Claude Code: env expansion in .mcp.json, OAuth scope pins, keychain storage, local scope, and redaction before tool arguments reach the model.

Enterprise guide to zero data retention planning for Claude Code: contractual ZDR scope, logging boundaries, MCP data paths, and verification checkpoints.

A practical pre-installation review workflow for Model Context Protocol servers. Inventory tools, resources, prompts, credentials, network reach, storage, and runtime permissions before connecting a server to Claude or another MCP client.

Run the parts of your AI dev workflow that touch your code and data — tools, memory, and auxiliary models — on infrastructure you control, while still using Claude as the orchestrator. A practical architecture for a self-hosted, privacy-first developer stack.

The Claude Code data-handling controls that matter for teams working near PHI: no-training commercial policy, retention windows, Zero Data Retention, encryption, local transcript handling, telemetry opt-outs, and security model.

Scans for potential sensitive data exposure and alerts immediately.

Trigger:Notification
Safety ✓ Privacy ✓

Community reusable agent prompt for analyzing OpenTelemetry traces from agent hosts using official trace signal documentation: span hierarchy review, latency attribution, error propagation, and privacy-safe instrumentation recommendations.

Expert Claude Agent SDK custom tool authoring capability pack for designing typed in-process tools with createSdkMcpServer, allowedTools scoping, isError handling, and privacy-safe rollout checklists aligned to official custom-tools documentation.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓