Kubeshark
Repository: kubeshark
Author: kubeshark · Source status: Clear source
eBPF-powered network observability for Kubernetes.
Score basis:Clear source · High risk signals · Universal
Repository: mcp-for-argocd
Author: argoproj-labs·Source status: Clear source
An implementation of Model Context Protocol (MCP) server for Argo CD.
Score basis:Clear source · Low risk signals · Universal
Trust level
79 · Review first
Usable, but inspect source, install method, and risk hints before adoption.
Risk decision
No explicit risk signals
No explicit risk signal is available.
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
67%
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
67%
Repository
argoproj-labs/mcp-for-argocd
Author
argoproj-labs
Community signal
392 stars · 67 forks
Last updated
2026-03-26
Primary source
argoproj-labs/mcp-for-argocd
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/argoproj-labs/mcp-for-argocd.gitNo explicit risk signals recorded
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
No explicit risk signals.
Permission hints
repository clone, local runtime dependencies
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: devopness
Author: devopness · Source status: Clear source
DevOps Happiness: 1-click or 1-prompt MCP.
Score basis:Clear source · Low risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: coolify-mcp
Author: StuMason · Source status: Clear source
MCP server for Coolify — 38 optimized tools for managing self-hosted PaaS through AI assistants Topics: ai, claude, coolify, deployment, devops, infrastructure, mcp, model-context-protocol, paas, self-hosted, typescript.
Score basis:Clear source · Low risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: claude-code
Author: anthropics · Source status: Clear source
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT}
Score basis:Clear source · High risk signals · Claude
Why related: Same task category, Keyword overlap
Why related: Same task category, Keyword overlap
Repository: devspace
Author: devspace-sh · Source status: Clear source
DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
Score basis:Clear source · Low risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: mcp-context-forge
Author: IBM · Source status: Clear source
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management.
Score basis:Clear source · Low risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: hera
Author: argoproj-labs · Source status: Clear source
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations.
Score basis:Clear source · Risk needs review · Universal
Repository: argocd-agent
Author: argoproj-labs · Source status: Clear source
Redefining the multi cluster story of Argo CD
Score basis:Clear source · Risk needs review · Universal
Repository: argo-workflows-catalog
Author: argoproj-labs · Source status: Clear source
Argo Workflows Catalog
Score basis:Clear source · Risk needs review · Universal
Repository: assistant-for-argocd
Author: argoproj-labs · Source status: Clear source
GitHub repository argoproj-labs/assistant-for-argocd; metadata recovered from GitHub Search API.
Score basis:Clear source · Risk needs review · Universal