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Holoscan Install Conda

NVIDIAOfficialCreated by Holoscan TeamDistributed by NVIDIA

  • Skill
  • Tool integration
  • Software development
  • Apache-2.0
  • Medium risk
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From the author

Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method.
— the description by Holoscan Team

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill manages installation requests for Holoscan SDK 5.x, specifically addressing the lack of Conda support for version 5.0. It provides a structured process to verify Conda availability for specific releases and redirects users to supported installation methods such as containers, Debian packages, Python wheels, or source builds when Conda is not a viable option. The skill ensures that the user's target SDK version and language preferences (C++ or Python) are maintained throughout the selection process.

What it does

  • Verifies Conda package availability for specific Holoscan SDK 5.x releases.
  • Explains the unavailability of Conda packages for Holoscan SDK 5.0.
  • Prevents incorrect installation attempts by distinguishing between 4.x and 5.x release lines.
  • Recommends alternative installation methods including containers, Debian, wheels, or source.
  • Maintains the user's requested SDK version and programming language goals during redirection.
  • Integrates with other Holoscan setup skills to assess host environments when necessary.

When to use it

  • When a user requests a Conda-based installation for Holoscan SDK 5.x.
  • When you need to clarify which installation methods are supported for a specific Holoscan release.
  • When a user is unsure whether their target Holoscan version supports Conda.
  • When you need to transition a user from an unsupported Conda request to a valid installation path.

Advantages

  • Prevents failed installation attempts by clarifying Conda support status.
  • Ensures users follow official, verified installation paths for the SDK.
  • Maintains consistency in SDK versioning and language requirements.
  • Reduces ambiguity by providing clear alternatives based on the user's specific goals.

Usage examples

“Install Holoscan SDK 5.0 using Conda.”
The agent explains that Conda is not supported for version 5.0 and provides a list of alternative installation methods like containers or Debian packages.
“How do I set up Holoscan 5.x with Conda?”
The agent checks the specific release version, confirms if Conda is supported, and either provides instructions or suggests the appropriate alternative installation skill.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/nvidia/holoscan-install-conda/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip holoscan-install-conda.zip -d .agents/skills

Documentation by Holoscan Team

Holoscan 5.0 and Conda

This skill checks Conda availability for the requested Holoscan SDK 5.x release. SDK 5.0 has no Conda package. For later releases, it follows the release's Conda instructions when support is documented and matching packages are published. Otherwise, it offers container, Debian, wheel, or source alternatives while preserving the requested SDK version and C++ or Python goal.

Conda-forge Holoscan 4.x packages are a different release line and cannot satisfy a 5.x installation request.

  1. Establish the requested SDK release. For 5.0, explain that Conda installation is unavailable; do not install Miniforge, create an environment, or run a Holoscan Conda solve. For a later release, follow its documented Conda method only if that release explicitly supports it and the matching packages are published. If availability is unknown, report the uncertainty and offer the verified alternatives below rather than inventing an installation command.

  2. When Conda is unavailable or unconfirmed, preserve the requested SDK version and the user's C++ or Python goal. Offer the matching skill when available, or use the release's installation guide directly:

    GoalMethod
    Ready-to-use C++ and Python environmentholoscan-install-container
    Native C++ headers and librariesholoscan-install-debian
    Python environmentholoscan-install-wheel
    Early Access binaries unavailable, or SDK developmentholoscan-install-source

  3. Confirm which alternative the user wants if they have not already chosen one. If the host or goal is unclear, use holoscan-setup to assess it.

  4. If the user explicitly needs 4.x, consult that release's Conda instructions and report the version change before proceeding. Keep an existing Conda installation intact; its presence does not establish availability for the requested release.

Use the selected release notes and installation guide to establish current support. Do not treat a 4.x search result as 5.x support.

Files

skill-card.md

Description: <br>

Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method. <br>

This skill is ready for commercial/non-commercial use. <br>

Owner

NVIDIA <br>

License/Terms of Use: <br>

Apache 2.0 <br>

Use Case: <br>

Developers and engineers use this skill when they ask to install Holoscan SDK 5.x with Conda, to learn that SDK 5.0 has no Conda package, check whether a later release documents Conda support, and choose a supported container, Debian, wheel, or source installation that preserves their requested SDK version and C++ or Python goal. <br>

Deployment Geography for Use: <br>

Global <br>

Requirements / Dependencies: <br>

Requires API Key or External Credential: [Not Specified] <br> Credential Type(s): [None identified] <br>

Do not include secrets in prompts/logs/output; use least-privilege credentials; rotate keys as appropriate. <br>

Known Risks and Mitigations: <br>

Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>

Reference(s): <br>

Skill Output: <br>

Output Type(s): [Analysis, Configuration instructions] <br> Output Format: [Markdown] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [None] <br>

Evaluation Agents Used: <br>

  • Claude Code (aws/anthropic/bedrock-claude-opus-4-8) <br>

  • Codex (openai/openai/gpt-5.5) <br>

Evaluation Tasks: <br>

6 evaluation tasks (5 positive, 1 negative), 1 attempt per task, each run in an isolated sandbox pod (k8s-sandbox), compared against a no-skill baseline. <br>

Evaluation Metrics Used: <br>

Reported benchmark dimensions: <br>

  • Security: Is it safe to use? Scored from the security signal. <br>

  • Correctness: Is the answer correct? Scored from the accuracy signal. <br>

  • Discoverability: Was the right skill loaded when needed? Scored from the skill_execution signal. <br>

  • Effectiveness: Did the skill help complete the task? Equal-weight mean of goal_accuracy and behavior_check. <br>

  • Efficiency: Did it avoid wasted tool calls and token usage? Equal-weight mean of skill_efficiency and token_efficiency. <br>

Underlying evaluation signals used in this run: <br>

  • security: Unsafe operations, secret leakage, and unauthorized access. <br>

  • skill_execution: Whether the expected skill was selected, decoys were avoided, and the workflow executed. <br>

  • skill_efficiency: Tool-call productivity. <br>

  • accuracy: Final-answer correctness against the reference answer. <br>

  • goal_accuracy: Whether the user's goal was achieved. <br>

  • behavior_check: Whether the expected workflow behavior was followed. <br>

  • token_efficiency: Actual uncached prompt plus completion token usage. <br>

Evaluation Results: <br>

MeasureClaude Code (Baseline → Skill Uplift)Codex (Baseline → Skill Uplift)
Overall96.3% — no comparable baseline score; uplift unavailable94.7% — no comparable baseline score; uplift unavailable
Security100.0% → 100.0% (±0.0 points)100.0% → 83.3% (-16.7 points)
Correctness86.7% → 96.7% (+10.0 points)86.7% → 100.0% (+13.3 points)
Discoverability100.0% — no comparable baseline score; uplift unavailable95.0% — no comparable baseline score; uplift unavailable
Effectiveness87.1% → 85.8% (-1.3 points)74.6% → 97.1% (+22.5 points)
Efficiency99.0% — no comparable baseline score; uplift unavailable97.9% — no comparable baseline score; uplift unavailable

Overall verdict: PASS (Tier 1 static validation passed with observations; Tier 2 semantic deduplication passed; Tier 3 live agent evaluation passed).

Skill Version(s): <br>

2.0.0 (source: frontmatter) <br>

Ethical Considerations: <br>

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>

(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Holoscan Team
Publisher
NVIDIA (Official)
Distributed by
NVIDIA
Source
NVIDIA/skills · skills/holoscan-install-conda · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Holoscan Team or NVIDIA.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download holoscan-install-conda.zip