Install payload
Install payload is mixed and needs spot-checking.
71% (5/7)
Browse the directory
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Showing 7 resources for "code-execution"
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Active
Privacy notes filter active — add entries to compare trust side by side.
Trust snapshot
7 results in this view
Claimed
0%(0/7)
2 trust signals differ in this sample: Source provenance, Submitter
Signals differ on Source provenance, Submitter — add entries to compare before you install.
Rollout signal scan
2 rollout risk signals in current results
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
watch
Adoption queue
Browse adoption queue · balanced
2/7 visible results are in hold tier and need mitigation before adoption.
ready 0caution 5hold 2
AI-Generated Insecure Deserialization Review Rules
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
rules/ai-generated-insecure-deserialization-review-rules · trust review · confidence 67%
Jupyter MCP Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/jupyter-mcp-server · trust review · confidence 67%
MATLAB MCP Core Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/matlab-mcp-core-server · trust review · confidence 67%
Microsandbox MCP Server for Claude
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/microsandbox-mcp-server · trust review · confidence 67%
OpenSandbox
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
tools/opensandbox · trust review · confidence 67%
Daytona
2 blockers: Metadata review, Install payload
hold
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/daytona · trust review · confidence 50%
E2B
2 blockers: Metadata review, Install payload
hold
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/e2b · trust review · confidence 50%
Decision confidence
Decision confidence scan · balanced
2/7 results are low-confidence and need review before adoption.
high 0medium 5low 2
AI-Generated Insecure Deserialization Review Rules
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
rules/ai-generated-insecure-deserialization-review-rules · trust review
Jupyter MCP Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/jupyter-mcp-server · trust review
MATLAB MCP Core Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/matlab-mcp-core-server · trust review
Microsandbox MCP Server for Claude
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/microsandbox-mcp-server · trust review
OpenSandbox
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
tools/opensandbox · trust review
Daytona
Hold adoption until Metadata review, Package integrity are resolved.
low
36/100
Missing: Metadata reviewMissing: Package integrityMissing: Install payload
tools/daytona · trust review
E2B
Hold adoption until Metadata review, Package integrity are resolved.
low
36/100
Missing: Metadata reviewMissing: Package integrityMissing: Install payload
tools/e2b · trust review
Freshness distribution
Current results are broadly fresh
Median age 52 days; all 7 scanned entries are within 90 days.
Theme distribution
Results center on code-execution
86% of this view shares the top theme. Leading themes: code-execution, sandbox, ai-agents.
- code-execution86% (6)
- sandbox57% (4)
- ai-agents43% (3)
- developer-tools43% (3)
- mcp29% (2)
- open-source29% (2)
- ai-generated-code14% (1)
- code-interpreter14% (1)
28 distinct themes across 7 scanned
Apache-2.0 sandbox runtime and SDK suite for AI agents, with Python, Java/Kotlin, JavaScript/TypeScript, C#/.NET, and Go SDKs, Docker and Kubernetes runtimes, OpenSandbox MCP server, CLI, code interpreter, filesystem and command tools, network policy, credential vault, and secure container runtime guidance.
Jupyter MCP Serverby Datalayer · submitted by oktofeesh1
MCP server for connecting Claude to Jupyter notebooks, kernels, files, cells, multimodal outputs, and JupyterLab workflows over stdio or Streamable HTTP.
MATLAB MCP Core Serverby MathWorks · submitted by oktofeesh1
Official MathWorks MCP server that lets Claude detect MATLAB installations, inspect toolboxes, analyze MATLAB files, evaluate MATLAB code, run scripts, run tests, and expose reviewed custom MATLAB functions as MCP tools.
Daytonaby Daytona · submitted by JPette1783
Open-source infrastructure for securely running AI-generated code in isolated sandboxes that start in milliseconds, with SDKs for Python, TypeScript, and other languages, persistent snapshots, and an optional managed cloud.
E2Bby E2B · submitted by JPette1783
Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with Python and JavaScript SDKs, a Code Interpreter package, and self-hosting options.
Microsandbox MCP Server for Claudeby Superrad Company · submitted by oktofeesh1
Connect Claude to Microsandbox microVMs for sandbox lifecycle, command execution, filesystem, volume, and metrics workflows.
Source-backed rules for reviewing AI-generated code that deserializes data before merge for insecure deserialization risk, covering native serialization formats (pickle, PyYAML, Java Serializable) that can execute arbitrary code on untrusted input, safe data-interchange alternatives, and class allowlisting/integrity checks when native formats can't be avoided.