lobehub
Repository: lobehub
Author: lobehub · Source status: Clear source
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you.
Score basis:Clear source · Risk needs review · Universal
Repository: simple-agent-functions-dotnet
Author: Azure-Samples · Source status: Clear source
Quickstart: a simple AI agent built with the GitHub Copilot SDK, running as an Azure Function.
Score basis:Clear source · Risk needs review · Universal
Trust level
59 · Review first
Usable, but inspect source, install method, and risk hints before adoption.
Risk decision
Review required
metadata-only
Install readiness
script-backed · copy-only command
SkillTrust only shows install guidance and copy actions; it never executes installs.
Before you install
Review source, permissions, and execution risk first, then alternatives. Scores prioritize review; they do not replace manual judgment.
Review weakest dimensions and next actions before copying commands.
Evidence or risk signals are incomplete; compare alternatives first.
Audit grade
C · Review first
Execution risk
High
Evidence confidence
65%
SAS-v2.1 radar
SAS-v2.1
Audit grade
C · Review first
Execution risk
High
Top threats
unexpected code execution, data exfiltration
Control gaps
missing license, broad permissions
Evidence confidence
65%
Repository
Azure-Samples/simple-agent-functions-dotnet
Author
Azure-Samples
Community signal
6 stars · 1 forks
Last updated
2026-03-01
Primary source
Azure-Samples/simple-agent-functions-dotnet
Source status
Clear source
Install method
script-backed
Command & code execution
34Focus: Whether it runs commands or scripts
Next action: Manually confirm command-running skills in an isolated directory.
High-risk action confirmation
38Focus: Whether destructive or external actions require confirmation
Next action: Avoid directly installing high-risk skills without confirmation controls.
Network & data egress
43Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Supported tools can change install steps; Universal entries need source review.
Explicitly supported
Candidate support (inferred)
Candidate tools are inferred signals, not official compatibility certifications.
git clone https://github.com/Azure-Samples/simple-agent-functions-dotnet.gitmetadata-only
Review source and permissions before copying install commands.
Evidence or risk signals are incomplete; compare alternatives first.
Focus: Who published it and whether it is traceable
Next action: Review repository, author, and README first; do not install directly when source is pending.
Focus: Whether install steps can be reviewed
Next action: Prefer candidates with install docs and repository evidence.
Focus: Whether tool descriptions may hide instructions
Next action: Read README, rules, and tool descriptions before install.
Focus: What it can access
Next action: Grant only task-required permissions and prefer Ask/manual confirmation.
Focus: Whether it runs commands or scripts
Next action: Manually confirm command-running skills in an isolated directory.
Focus: Whether file reads/writes can escape scope
Next action: Check working directory and file access scope before running.
Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Focus: Whether it handles tokens, private keys, or agent identity
Next action: Do not provide long-lived tokens or private keys to source-pending skills.
Focus: Whether external content can steer behavior
Next action: For browser/RAG/rules skills, review permissions and confirmation controls first.
Focus: Whether memory or retrieved context can be poisoned
Next action: Try RAG/memory skills in a low-privilege environment first.
Focus: Whether external tools and MCP access are clearly bounded
Next action: Confirm which external tools it will connect to before install, and start with the smallest possible set.
Focus: Whether destructive or external actions require confirmation
Next action: Avoid directly installing high-risk skills without confirmation controls.
Focus: How far impact can spread when something goes wrong
Next action: If unsure, test in an isolated project first.
Focus: Whether actions can be traced
Next action: Prefer candidates with logs or previews.
Focus: Whether it is maintained and reusable
Next action: Check license and maintenance before organizational use.
Usable, but inspect source, install method, and risk hints before adoption.
Phase 1 only shows installation-aware, source-backed signals. SkillTrust does not execute install scripts for users.
Risk factors
metadata-only
Permission hints
repository clone
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Repository: GitNexus
Author: abhigyanpatwari · Source status: Clear source
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser.
Score basis:Clear source · Risk needs review · Universal
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Repository: Warp
Author: warpdotdev · Source status: Clear source
Warp is the agentic development environment, built for coding with multiple AI agents.
Score basis:Clear source · Risk needs review · Universal
Why related: Same task category, Keyword overlap...
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Repository: firecrawl
Author: firecrawl · Source status: Clear source
🔥 The Web Data API for AI - Power AI agents with clean web data
Score basis:Clear source · Risk needs review · Universal
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Repository: gemini-cli
Author: google-gemini · Source status: Clear source
An open-source AI agent that brings the power of Gemini directly into your terminal.
Score basis:Clear source · Risk needs review · Universal
Why related: Same task category, Keyword overlap...
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Repository: hermes-agent
Author: NousResearch · Source status: Clear source
The agent that grows with you
Score basis:Clear source · Risk needs review · Universal
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Repository: azure-search-openai-demo
Author: Azure-Samples · Source status: Clear source
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Score basis:Clear source · Risk needs review · Universal
Repository: openai
Author: Azure-Samples · Source status: Clear source
The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
Score basis:Clear source · Risk needs review · Universal
Repository: chat-with-your-data-solution-accelerator
Author: Azure-Samples · Source status: Clear source
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Score basis:Clear source · Risk needs review · Universal
Repository: aoai-realtime-audio-sdk
Author: Azure-Samples · Source status: Clear source
Azure OpenAI code resources for using gpt-4o-realtime capabilities.
Score basis:Clear source · Risk needs review · Universal