By daymade
Scan GitHub repository history for secrets, API keys, PII, and private domains/IPs, then safely rewrite history to remove them with backup and verification. Includes safety checks before force pushes to prevent accidental data exposure.
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
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npx claudepluginhub p/daymade-github-sensitive-data-cleanup-github-sensitive-data-cleanupCo-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
Compare two videos and generate interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Use when analyzing compression results, evaluating codec performance, or assessing video quality differences
Generate format-controlled research reports with evidence tracking, source governance, and multi-pass synthesis. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged). Enterprise Research Mode: six-dimension data collection, SWOT/barrier/risk frameworks, and three-level quality control for company research
Manage OpenClaw (龙虾 / lobster) instance configurations — audit, diff, copy, add-model, list, and switch models across openclaw.json files. Use when juggling multiple OpenClaw / Claude Code wrapper instances, applying DeepSeek model patches, managing default models and aliases, or validating config.
Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering. Use when troubleshooting ERR_TOO_MANY_REDIRECTS, SSL errors, DNS issues, or any Cloudflare-related problems
Scan codebase for exposed secrets, API keys, passwords, and sensitive credentials
Call GitHub Autopilot's AI tools (analyze PR, fix issue, scan secrets, repo health) from Claude Code via MCP.
Real-time secret-leak guardrails for AI coding agents (Claude Code, Codex), Git hooks, and CI.
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions. Originally from OpenAI's curated skills catalog.
Autonomous security auditor. Scans a GitHub repo for vulnerabilities, triages false positives, writes a PoC, fixes each confirmed bug in its own PR, independently reviews the fix, and merges when the review is clean.
Scans for common credential formats across cloud, source control, payment, and collaboration providers