Articles about AI skill security, coding tool tips, and best practices.
Turning a skill into a browser app isn't a format conversion — it's building a product. An app is made for a goal and usually composes several skills; the frontend is designed for the goal, not generated from a SKILL.md.
A skill runs inside your agent — so a schedule needs somewhere to run without you. Deploy the skill as an app, then schedule the app: cron in your timezone, output emailed or webhooked, no server or CI runner to set up.
You built a skill once. Here's how to install it on every machine you and your team use — reproducibly — with npx skills add, a checked-in lockfile, and skillsafe sync.
The zero-install way to hand someone a skill: a share link their agent fetches in one request. Append ?md and it returns the whole SKILL.md, ready to act on — no account, no install.
SkillSafe apps can now opt in to forking: anyone can read an app's complete source — prompt and files — and clone it into their own account in one click, with lineage recorded and pricing never copied.
Storage on SkillSafe is now a single unified quota across skill files, app files, app data records, and agent snapshots — with a relaunched $9 Pro plan, 10 GB pooled per Team seat, and $10 of monthly app credit per seat.
We compared four ways to distribute and monetize AI agent skills — SkillSafe, skills.sh, plain GitHub, and generic digital marketplaces — on distribution, security, payments, and who can actually use what you ship.
The full funnel from a SKILL.md on your laptop to revenue: save it on SkillSafe, pass the security scan, ship it as a hosted app, set your markup — and keep 100% of it — then cash out.
Every number behind an app run: per-model rates, the 10% platform margin, the creator's matching 10%, credits at $1 = 10,000, free grants, and the BYOK flat-rate lane — with worked examples.
Usage-metered credits, an owner markup you keep in full, and user accounts — how to monetize an AI mini-app with zero payment integration, and when a classic Stripe stack is still the right call.
Step-by-step: deploy a Claude Code skill as a hosted web app at your own skillsafe.ai subdomain — one prompt to your agent, no servers, no auth code, no billing integration. Then share it with anyone who has a browser.
An honest comparison of four ways to ship an AI mini-app in 2026 — by hosting, audience reach, end-user billing, and trust review — with a verdict per use case rather than a single winner.
Your skill's audience is capped at developers with an AI coding tool. Turn it into a hosted app at yourapp.skillsafe.ai — with user accounts, credit billing, storage, and AI models built in.
Arcade's funding round is a signal that agent authorization, MCP tool permissions, and auditability are becoming core AI infrastructure.
Tenet's Agentjacking research shows how fake Sentry errors can hijack coding agents through MCP tool output. The defense starts with treating tool data as untrusted.
A new MCP security Internet-Draft ties public SSRF reports, tool permission drift, and protocol pivoting into one operational warning for agent teams.
A runaway AI agent's DN42 scanning attempt turned into a $6,531 AWS bill. The lesson for agent tools is simple: budgets, scope, and blast radius are permissions.
Varonis and Imperva showed OpenClaw agents leaking data and running code from ordinary-looking inputs. The defense starts with identity-bound tool permissions.
Renewed discussion of OpenClaw's local-agent takeover risk shows why teams need an Agent Bill of Materials for skills, plugins, MCP servers, and connectors.
Cisco's Cloud Control launch puts AI agents, MCP connectors, and third-party tool marketplaces inside critical infrastructure operations.
Vercel opened the skills.sh API for programmatic access to 600,000+ agent skills. That is useful, but it makes skill verification a platform concern.
VIPER-MCP found 106 confirmed zero-days across nearly 40,000 MCP server repos. Agent tool security now needs code-level taint analysis, not just trust prompts.
Microsoft's Agent Control Specification gives agent teams a portable runtime policy layer for tool calls, approvals, and audit evidence.
NSA's MCP security guidance turns the agent tooling debate into an operational checklist: inventory servers, verify tool changes, and scan before trust drifts.
A focused review pass surfaced a malicious publisher family targeting Claude Code config — and a handful of regex rules costing more in false positives than they were worth. Here's what we changed.
The public debate around MCP remote code execution risk shows a hard lesson for AI agents: plugins, connectors, and skills need supply-chain controls.
A malicious Hugging Face repo typosquatted OpenAI's Privacy Filter, hit #1 trending at 244K downloads, and shipped a Rust infostealer — a warning for AI skills.
A cross-platform app to browse, edit, create, and convert skills, agents, and commands across Claude Code, Codex, Cursor, OpenClaw, and Cline.
Top 5 DevOps CI/CD skills from our scored review — Docker security playbooks, Argo Rollouts canary configs, and a production-ready blue-green script.
Top 5 AI/ML development skills from our scored review — RAG architectures, prompt engineering patterns, LLM debugging frameworks, and production guidance.
We installed and scored 15 CSS and design skills. These 5 stood out — from fluid typography cookbooks to a 99-rule UX checklist with a built-in CLI.
We installed and scored 10 data analysis skills. These 5 stood out — from a chart-selection encyclopedia to a three-script CSV profiling toolkit.
We installed and scored 11 systems programming skills. These 5 stood out — from Apollo's 2,400-line Rust handbook to production Go concurrency patterns.
Top 5 cloud infrastructure skills from our scored review — Terraform state migrations, Cloudflare anti-pattern catalogs, and 4,000+ lines of guidance.
Top 5 Next.js AI skills from our scored review — including an eval-proven bundle that raised pass rates from 32% to 78% and a 50-line upgrade assistant.
Anthropic's Mythos Preview discovered zero-days in every major OS and browser. Defenders have months, not years, to adapt. Here's what to do now.
We installed and scored 8 git workflow skills. These 5 stood out — with rebase playbooks, branch cleanup safety gates, and changelog automation pipelines.
Top 5 API development skills from our scored review — a 25-file multi-framework implementation guide and an RFC 9457 error system with agent extensions.
Top 5 security auditing skills from our scored review — 146 vulnerability vectors, 11 footgun databases, and a real-time GitHub supply chain auditor.
We installed and scored 13 database skills. These 5 stood out — with 3,000+ lines of Postgres rules, query optimization patterns, and migration playbooks.
Top 5 TypeScript AI skills from our scored review — a 14-file type system encyclopedia and a spec-to-types converter that writes type guards for you.
Top 5 documentation AI skills from our scored review — structured co-authoring workflows, 885-line reference templates, and ready-to-use README frameworks.
We installed and scored 11 performance skills. These 5 stood out — with 11,000+ lines of profiling rules, optimization patterns, and benchmarking workflows.
We installed and scored 14 refactoring skills. These 5 stood out — with safety checklists, complexity scoring systems, and 2,900+ lines of refactoring patterns.
We installed and scored 23 code review skills. These 5 stood out — with real checklists, multi-agent workflows, and 1,500+ lines of review patterns.
We installed and scored 17 React skills. These 5 earned their spot — from Vercel's 20-file Next.js encyclopedia to a typed state management cookbook.
We installed and scored 18 testing skills. These 5 earned their spot — from a 61-file Playwright encyclopedia to strict TDD enforcement.
We installed and scored 20 Python skills. These 5 deliver — from 736 lines of async patterns to Sentry's zero-false-positive Django auditor.
Snyk scanned 3,984 AI agent skills: 36% had security flaws, 534 critical issues, 76 active malware. What this means for developers installing skills.
MCP tool descriptions are visible to your AI agent but hidden from you. Attackers embed instructions that hijack agent behavior and steal credentials.
Langflow's critical RCE was weaponized in 20 hours. Combined with new LangChain and LangGraph CVEs, AI framework infrastructure is under active attack.
TeamPCP compromises legitimate packages and cascades through the supply chain via stolen credentials. Why this attack pattern evades detection.
Claude Code skills can read files, run commands, and access credentials. What the skill ecosystem gets wrong about security — and how to protect yourself.
Attackers injected a credential stealer into litellm (95M downloads) via compromised CI/CD. What happened and why AI skills face the same threat.
A new paper achieves 97.5% attack success against Claude Code using poisoned skills. Here's what we found, and the four detection rules we shipped in response.
A skill without a demo is a black box. Why recording a real agent session is the highest-leverage thing you can do to earn trust and drive installs.
Post-mortem of ClawHavoc — the largest AI skill supply chain attack on record — and what it reveals about the limits of reactive security models.
Comparing install-time scanning, reactive moderation, and dual-side verification — and the supply chain attack vectors each security model misses.
SkillSafe skills can improve from real usage feedback. How the observe-improve-save loop works and how to opt your skills into automatic iteration.
341 malicious AI skills were found on a major registry. SkillSafe scans before sharing, re-verifies on install, and blocks tampered code automatically.
How SkillSafe dual-side verification works: publisher scans, consumer re-scans, and cryptographic tree hashes that detect tampering before install.