
Trigger.dev
n8n.io
Pipedream
Amazon AWS
Apache Airflow
Molted
Aditya Protocol
Build invincible apps with Temporal's open source durable execution platform. Eliminate complexity and ship features faster. Talk to an expert today!

Sentinel SCA
Microsoft Azure
LangChain
Auto-GPT
Snyk
LangSmith
Helicone AI
Free Agent Skill Security Analyzer for Claude AI. Detect dangerous permissions, code execution vulnerabilities, and data leaks before deployment. Secure your AI agents today.

Which is more popular?
Based on our record, Temporal seems to be more popular. It has been mentioned 18 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | temporal.io | skillrisk.org |
| Pricing | ||
| Platforms | — | |
| Company | — | 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Temporal yet.
SkillRisk is a specialized security analysis tool designed for the AI Agent ecosystem, specifically focusing on Claude Code and Model Context Protocol (MCP) skills. As developers give AI agents more permissions (shell access, file manipulation), the risk of executing malicious code increases....
What each product offers, as listed by its team.


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Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Temporal and SkillRisk.org.
SkillRisk.org's answer:
SkillRisk is the first dedicated security scanner built specifically for the Claude Code and Model Context Protocol (MCP) ecosystem. Unlike general-purpose code linters, SkillRisk understands agent-specific attack vectors—such as PreToolUse hook hijacking, implicit permission leaks in JSON/YAML definitions, and data exfiltration patterns in MCP server configurations. It brings "Static Application Security Testing" (SAST) to the world of AI Agents.
SkillRisk.org's answer:
Most traditional security tools audit application code but ignore the configuration layer of AI agents. You should choose SkillRisk because: Context-Aware: It detects risks specific to AI agents (e.g., giving an LLM rm -rf permissions) that standard linters miss. Pre-Runtime Safety: It allows you to audit third-party skills before you install them, preventing supply chain attacks. Privacy-First: Our "Local-First" architecture ensures your skill definitions are analyzed in-memory and never stored on our servers.
SkillRisk.org's answer:
Our primary audience includes AI Engineers, DevOps professionals, and software developers who are building autonomous agents using Claude Code or implementing MCP servers. It is a must-have tool for anyone integrating community-contributed skills or third-party tools into their agent's workflow.
SkillRisk.org's answer:
We built SkillRisk after realizing a terrifying gap in the AI workflow: developers scrutinize human code in Pull Requests but blindly copy-paste "Skills" that give AI agents shell access. After witnessing an incident where a malicious "Color Picker" skill silently exfiltrated credentials and caused $54,000 in cloud bills, we decided to build a "firewall" for AI skills. We treat Agent Skills as executable code that requires strict auditing.
SkillRisk.org's answer:
The platform utilizes a custom-built Static Analysis Engine specifically tuned for parsing JSON, YAML, and Markdown skill definitions. It employs strictly typed rule sets to detect logic vulnerabilities and permission scopes without executing the code. The web interface is designed for zero-persistence data processing to ensure maximum security.
SkillRisk.org's answer:
AI Engineers within the Anthropic developer community DevOps teams using Vercel Infrastructure developers at Nvidia Open source maintainers of MCP servers
Share your experience with using Temporal and SkillRisk.org. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Temporal makes durable workflows, activities, retries, timers, failures, and long-running execution explicit. - Source: dev.to / 20 days ago
When a team moves from a monolith into microservices and event-driven, asynchronous systems, it inherits a class of problems that used to be someone else's: work that fails halfway through, steps that must not run twice, calls that... - Source: dev.to / about 2 months ago
Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:. - Source: dev.to / about 2 months ago
Tracking SkillRisk.org since Jan 2026.
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