Agent skill

Caffe Cifar 10

by lazyFrogLOL in lazyFrogLOL/Harness_Engineering

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset.

No licenceAuto-check passedAI & LLM Engineering

Install Caffe Cifar 10

skills CLI
$ npx skills add lazyFrogLOL/Harness_Engineering --skill caffe-cifar-10 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lazyFrogLOL/Harness_Engineering caffe-cifar-10 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/caffe-cifar-10 .claude/skills/caffe-cifar-10 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
caffe-cifar-10
GitHub stars
128
Token cost
~1.7k tokens
SKILL.md length
758 words
Files
1
Skills in repo
32
Repo updated
First seen
Licence
None found

At a glance

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset.

  • Works in 10 steps: Clone Repository with Correct Version → Install Dependencies → Configure Makefile.config → …
  • Tasks that involve Deep learning
  • SKILL.md covers Overview, Pre-Build Research Phase, Build Workflow and CIFAR-10 Training Workflow, plus 2 more sections
  • Calls make, git and python3; reaches github.com

What it does

Caffe Cifar 10 is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset. This skill applies when tasks involve compiling Caffe from source, training convolutional neural networks on image classification datasets, or working with legacy deep learning frameworks that have compatibility issues with modern systems.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Deep learning and Computer vision. It works with Python and OpenCV.

When your agent uses it

  • Tasks that involve Deep learning
  • Tasks that involve Computer vision

Example prompts

  • “/caffe-cifar-10”

Requirements

  • Python 3
  • Docker

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Clone Repository with Correct Version
  2. Install Dependencies
  3. Configure Makefile.config
  4. Apply Compatibility Patches
  5. Build with Conservative Settings
  6. Build Tests and Python Bindings
  7. Download Dataset
  8. Modify Training Configuration
  9. Train Model
  10. Verify Output

What it can do on your machine

Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • make
    • git
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Caffe Cifar 10 loads about 1.7k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 758 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 758 words (~1,745 tokens).

“This skill provides procedural guidance for building the Caffe deep learning framework from source and training models on the CIFAR-10 dataset. Caffe is a legacy framework (circa 2014-2017) with known compatibility issues on modern systems, requiring careful handling of dependencies…”

— opening of SKILL.md by lazyFrogLOL
name
caffe-cifar-10

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/caffe-cifar-10 of lazyFrogLOL/Harness_Engineering.

Open the folder on GitHubat commit cae3b25

Compare with similar skills

Caffe Cifar 10 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Caffe Cifar 10 compared with similar skills
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Caffe Cifar 10 this skilllazyFrogLOL/Harness_Engineering128—~1.7kAutomated safety check: PassNone
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Matlab Integrate Pytorch Visionmatlab/matlab-agentic-toolkit1.1k—~3.7kAutomated safety check: PassCustom licence
Opencv Bioimage Analysisjaechang-hits/SciAgent-Skills3741 repos~3.9kAutomated safety check: PassApache-2.0
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT

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Works with

Questions about Caffe Cifar 10

What does Caffe Cifar 10 do?

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset. Caffe Cifar 10 is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset.

When should I use Caffe Cifar 10?

Caffe Cifar 10 fits situations like: tasks that involve Deep learning; tasks that involve Computer vision.

How do I install Caffe Cifar 10 in Claude Code?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill caffe-cifar-10 -a claude-code`. Or copy the skill folder (skills/caffe-cifar-10 in lazyFrogLOL/Harness_Engineering) into .claude/skills/caffe-cifar-10 in your project. Claude Code loads it when a task matches its description.

How do I install Caffe Cifar 10 in Codex?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill caffe-cifar-10 -a codex`. Or copy the skill folder (skills/caffe-cifar-10 in lazyFrogLOL/Harness_Engineering) into .agents/skills/caffe-cifar-10 in your project. Codex loads it when a task matches its description.

Can I use Caffe Cifar 10 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill caffe-cifar-10 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caffe-cifar-10, .gemini/skills/caffe-cifar-10, .github/skills/caffe-cifar-10 and .opencode/skills/caffe-cifar-10 in your project.

What does Caffe Cifar 10 need to run?

Going by SKILL.md and its folder, Caffe Cifar 10 needs the command-line tools its instructions call (make, git and python3). Our summary lists: Python 3; Docker.

Does Caffe Cifar 10 access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Caffe Cifar 10 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Caffe Cifar 10 use?

No licence was found for Caffe Cifar 10 or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Caffe Cifar 10 use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Caffe Cifar 10?

Skills that share tags, products or a category with Caffe Cifar 10: Torch Performance Optimization (albumentations-team/albucore, 123 stars), Matlab Integrate Pytorch Vision (matlab/matlab-agentic-toolkit, 1.1k stars), Opencv Bioimage Analysis (jaechang-hits/SciAgent-Skills, 374 stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Caffe Cifar 10?

lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.

Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.