Gptqmodel Tokenizer Normalization
ModelCloud/GPTQModel
Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.
This skill provides guidance for training FastText text classification models with constraints on accuracy and model size.
Install Train Fasttext
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttext --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/train-fasttext .claude/skills/train-fasttext && rm -rf skills-srcUse ~/.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/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .claude/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttextType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttext --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/train-fasttext .agents/skills/train-fasttext && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .agents/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttext --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/train-fasttext .cursor/skills/train-fasttext && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .cursor/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lazyFrogLOL/Harness_Engineering.git --path skills/train-fasttext--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttext --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/train-fasttext .gemini/skills/train-fasttext && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .gemini/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttextInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/train-fasttext .github/skills/train-fasttext && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .github/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering train-fasttext --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/train-fasttext .opencode/skills/train-fasttext && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "train-fasttext" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/train-fasttext into .opencode/skills/train-fasttext/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "train-fasttext", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
train-fasttext- GitHub stars
- 128
- Token cost
- ~1.9k tokens
- SKILL.md length
- 681 words
- Files
- 1
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- None found
At a glance
This skill provides guidance for training FastText text classification models with constraints on accuracy and model size.
- Works in 12 steps: Estimate Training Time → Understand Size Drivers → Identify Target Tradeoffs → …
- Tasks that involve Natural language processing
- SKILL.md covers Overview, Pre-Training Analysis, Training Strategy and Quantization Considerations, plus 4 more sections
- Calls python
What it does
Train Fasttext is an agent skill from lazyFrogLOL/Harness_Engineering. This skill provides guidance for training FastText text classification models with constraints on accuracy and model size. It should be used when training fastText supervised models, optimizing model size while maintaining accuracy thresholds, or when hyperparameter tuning for text classification tasks.
Its SKILL.md is about 1.9k 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 Natural language processing and LLM inference and serving.
When your agent uses it
- Tasks that involve Natural language processing
- Tasks that involve LLM inference and serving
Example prompts
- “/train-fasttext”
Requirements
- Python 3
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Estimate Training Time
- Understand Size Drivers
- Identify Target Tradeoffs
- Quick Exploration (Use Data Subset)
- Systematic Parameter Search
- Full Training
- Timeout Management
- Zigzag Parameter Tuning
- Over-Reliance on Quantization
- No Validation Strategy
- Ignoring Loss Function Choice
- Missing Text Preprocessing
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:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Train Fasttext loads about 1.9k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 681 words of instructions outside code blocks.
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 681 words (~1,939 tokens).
“This skill provides structured approaches for training FastText supervised text classification models, particularly when balancing competing constraints like accuracy thresholds and model size limits. It covers hyperparameter tuning strategies, size optimization techniques, and common pitfalls to avoid.”
- name
- train-fasttext
Files
Just SKILL.md in skills/train-fasttext of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Compare with similar skills
Train Fasttext 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Train Fasttext this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~1.9k | Automated safety check: Pass | None | |
| Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel | 1.3k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~1.7k | Automated safety check: Pass | MIT | |
| CI Fails Buildkiteguqiong96/Lvllm | 465 | 2 repos | ~349 | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
- Official
Hugging Face Local Model Evals
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
Qwen Mtp Gguf
R6410418/Jackrong-llm-finetuning-guide
Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.
CI Fails Buildkite
guqiong96/Lvllm
Fetch and diagnose vLLM Buildkite CI failure logs. An agent skill from guqiong96/Lvllm.
Hugging Face Tokenizers
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
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Categories
Questions about Train Fasttext
What does Train Fasttext do?
This skill provides guidance for training FastText text classification models with constraints on accuracy and model size. Train Fasttext is an agent skill from lazyFrogLOL/Harness_Engineering. This skill provides guidance for training FastText text classification models with constraints on accuracy and model size.
When should I use Train Fasttext?
Train Fasttext fits situations like: tasks that involve Natural language processing; tasks that involve LLM inference and serving.
How do I install Train Fasttext in Claude Code?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a claude-code`. Or copy the skill folder (skills/train-fasttext in lazyFrogLOL/Harness_Engineering) into .claude/skills/train-fasttext in your project. Claude Code loads it when a task matches its description.
How do I install Train Fasttext in Codex?
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill train-fasttext -a codex`. Or copy the skill folder (skills/train-fasttext in lazyFrogLOL/Harness_Engineering) into .agents/skills/train-fasttext in your project. Codex loads it when a task matches its description.
Can I use Train Fasttext 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 train-fasttext -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/train-fasttext, .gemini/skills/train-fasttext, .github/skills/train-fasttext and .opencode/skills/train-fasttext in your project.
What does Train Fasttext need to run?
Going by SKILL.md and its folder, Train Fasttext needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Train Fasttext access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Train Fasttext 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 Train Fasttext use?
No licence was found for Train Fasttext or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Train Fasttext use?
About 1.9k tokens (SKILL.md is roughly 7.8k 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 Train Fasttext?
Skills that share tags, products or a category with Train Fasttext: Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Train Fasttext?
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.