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They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•2m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•4m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•4m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•5m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•11m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•16m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•18m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•22m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•24m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•30m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•34m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•34m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•38m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•39m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•41m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•43m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•46m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•47m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•49m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•51m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•52m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•55m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•1h ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments
Open in hackernews

Show HN: Mother MCP – Manage your Agent Skills like a boss-Auto provision skills

https://github.com/dmgrok/mcp_mother_skills
2•DavidGraca•2w ago
Hi HN,

Built an MCP server that auto-detects your tech stack and installs relevant AI coding skills.

Problem: CLAUDE.md, copilot-instructions, cursor-rules – every tool has its own monolithic instruction format. They grow huge (10K+ tokens) and load on every request.

Solution: Composable skills (~500 tokens each) that sync from registries and load only when matched to your stack.

- 3-tier detection: GitHub SBOM → Specfy (700+ techs) → local fallback - 25+ skills from Anthropic, OpenAI, GitHub - Works with Claude, Copilot, Codex

Comments

kxbnb•1w ago
Interesting approach to the instruction bloat problem. The composable skills idea makes sense - 500 tokens vs 10K is a real difference.

One thing I'd be curious about: how do you think about security when skills auto-provision based on stack detection? If a skill gets compromised upstream, the auto-sync could propagate it quickly.

We're working on policy enforcement for MCP at keypost.ai and thinking about similar trust questions - what should be allowed to load/execute vs what needs explicit approval.

DavidGraca•1w ago
Hi, thanks for reaching out, yep a big issue... not only for skills but all dependencies. One of the options I see is governance... rely on a trusted listing where you with your experts curate/validate/assess and select the ones that match your quality standards. The current MCP already supports that, you just need to change the listing json file, right now i use this listing https://github.com/dmgrok/agent_skills_directory that goes get the skills to some "trusted" repos, anthropic, vercel, github.

how are you dealing with this topic at keypost.ai?