Ito Training
affaan-m/ECC
Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest.
Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.
Custom licenceAuto-check passed
Install Training Honest Models
$ npx skills add flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter training-honest-models --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/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/training-honest-models .claude/skills/training-honest-models && 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 "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .claude/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-modelsType 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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter training-honest-models --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/training-honest-models .agents/skills/training-honest-models && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .agents/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter training-honest-models --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/training-honest-models .cursor/skills/training-honest-models && 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 "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .cursor/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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/flyrank-bih/flyrank-ml-internship-starter.git --path skills/training-honest-models--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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter training-honest-models --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/training-honest-models .gemini/skills/training-honest-models && 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 "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .gemini/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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 flyrank-bih/flyrank-ml-internship-starter training-honest-modelsInstalls 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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/training-honest-models .github/skills/training-honest-models && 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 "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .github/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install flyrank-bih/flyrank-ml-internship-starter training-honest-models --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flyrank-bih/flyrank-ml-internship-starter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/training-honest-models .opencode/skills/training-honest-models && 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 "training-honest-models" agent skill from https://github.com/flyrank-bih/flyrank-ml-internship-starter/tree/main/skills/training-honest-models into .opencode/skills/training-honest-models/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-honest-models", 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
training-honest-models- GitHub stars
- 140
- Token cost
- ~588 tokens
- SKILL.md length
- 300 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.
- Moving from a rule baseline to a learned model
- SKILL.md covers Choose the method to fit the…, The comparison table…, Read the errors and Reproducibility basics, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Reviewing a model that reports only a single score
What it does
Training Honest Models is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed. Use when moving from a rule baseline to a learned model, or when reviewing a model that reports only a single score.
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Starter repo for the FlyRank ML Internship - a runnable ML pipeline on real anonymized Google Search data, with Colab notebooks. Fork it, build your capstone in it.
When your agent uses it
- Moving from a rule baseline to a learned model
- Reviewing a model that reports only a single score
Example prompts
- “Use the training-honest-models skill to train a first model the honest way — method chosen to fit the question, compared against the baseline on the…”
- “/training-honest-models”
What it can do on your machine
Read from SKILL.md and the folder at commit 882b73e. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Training Honest Models loads about 588 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 300 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 300 words (~588 tokens).
“The model is the easy part. The honesty is the work: same data, same split, same metric as the baseline — then read the errors before believing the score.”
- name
- training-honest-models
Files
Just SKILL.md in skills/training-honest-models of flyrank-bih/flyrank-ml-internship-starter.
Open the folder on GitHubat commit 882b73e
Compare with similar skills
Training Honest Models 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 |
|---|---|---|---|---|---|---|
| Training Honest Models this skillflyrank-bih/flyrank-ml-internship-starter | 140 | — | ~588 | Automated safety check: Pass | Custom licence | |
| Ito Trainingaffaan-m/ECC | 277k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Train Poseruvnet/RuView | 97k | — | ~504 | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Fal Trainnexu-io/open-design | 100k | — | ~293 | Automated safety check: Pass | Apache-2.0 | |
| Neural Trainingruvnet/ruflo | 74k | 1 repos | ~432 | Automated safety check: Pass | MIT |
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Questions about Training Honest Models
What does Training Honest Models do?
Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed. Training Honest Models is an agent skill from flyrank-bih/flyrank-ml-internship-starter. Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.
When should I use Training Honest Models?
Training Honest Models fits situations like: moving from a rule baseline to a learned model; reviewing a model that reports only a single score.
How do I install Training Honest Models in Claude Code?
Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a claude-code`. Or copy the skill folder (skills/training-honest-models in flyrank-bih/flyrank-ml-internship-starter) into .claude/skills/training-honest-models in your project. Claude Code loads it when a task matches its description.
How do I install Training Honest Models in Codex?
Run `npx skills add flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a codex`. Or copy the skill folder (skills/training-honest-models in flyrank-bih/flyrank-ml-internship-starter) into .agents/skills/training-honest-models in your project. Codex loads it when a task matches its description.
Can I use Training Honest Models 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 flyrank-bih/flyrank-ml-internship-starter --skill training-honest-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/training-honest-models, .gemini/skills/training-honest-models, .github/skills/training-honest-models and .opencode/skills/training-honest-models in your project.
What does Training Honest Models need to run?
SKILL.md names no scripts, command-line tools or credentials: Training Honest Models is instructions for the agent only.
Does Training Honest Models 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 Training Honest Models 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 Training Honest Models use?
Training Honest Models has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Training Honest Models use?
About 588 tokens (SKILL.md is roughly 2.4k 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 Training Honest Models?
Skills that share tags, products or a category with Training Honest Models: Ito Training (affaan-m/ECC, 277k stars), Train Pose (ruvnet/RuView, 97k stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Fal Train (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Training Honest Models?
flyrank-bih (a GitHub organization) maintains it in flyrank-bih/flyrank-ml-internship-starter, which has 140 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 20, 2026.
Source: flyrank-bih/flyrank-ml-internship-starter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.