Quality Flywheel
GoogleCloudPlatform/vertex-ai-samples
Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.
The scheduled model sweep. An agent skill from Kiln-AI/Kiln.
$ npx skills add Kiln-AI/Kiln --skill kiln-model-sweep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kiln-AI/Kiln kiln-model-sweep --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/Kiln-AI/Kiln.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .claude/skills/kiln-model-sweep && 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 "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .claude/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweepType 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 Kiln-AI/Kiln --skill kiln-model-sweep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kiln-AI/Kiln kiln-model-sweep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiln-AI/Kiln.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .agents/skills/kiln-model-sweep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .agents/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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 Kiln-AI/Kiln --skill kiln-model-sweep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kiln-AI/Kiln kiln-model-sweep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiln-AI/Kiln.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .cursor/skills/kiln-model-sweep && 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 "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .cursor/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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/Kiln-AI/Kiln.git --path .agents/skills/kiln-model-sweep--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 Kiln-AI/Kiln --skill kiln-model-sweep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kiln-AI/Kiln kiln-model-sweep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiln-AI/Kiln.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .gemini/skills/kiln-model-sweep && 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 "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .gemini/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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 Kiln-AI/Kiln kiln-model-sweepInstalls 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 Kiln-AI/Kiln --skill kiln-model-sweep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kiln-AI/Kiln.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .github/skills/kiln-model-sweep && 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 "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .github/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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 Kiln-AI/Kiln --skill kiln-model-sweep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kiln-AI/Kiln kiln-model-sweep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiln-AI/Kiln.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/kiln-model-sweep .opencode/skills/kiln-model-sweep && 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 "kiln-model-sweep" agent skill from https://github.com/Kiln-AI/Kiln/tree/main/.agents/skills/kiln-model-sweep into .opencode/skills/kiln-model-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-model-sweep", 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.
kiln-model-sweepThe scheduled model sweep. An agent skill from Kiln-AI/Kiln.
Kiln Model Sweep is an agent skill from Kiln-AI/Kiln. The scheduled model sweep. Reads the team's models channel for hints, discovers new LLM models, adds them to mlmodellist.py, runs the paid tests, marks dead provider entries deprecated, opens PRs under the team's rules, announces them in Slack, and checks whether remoteconfig needs a publish PR. Use when asked to run the model sweep by hand, to add or deprecate models unattended, or to change how the daily sweep behaves.
Its SKILL.md is about 3.6k 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 Machine learning. It works with Slack. The repository describes itself as: Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8ac9075. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvgitnpmghpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, git, npm and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FIREWORKS_API_KEYANTHROPIC_API_KEYKILN_ANTHROPIC_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Kiln Model Sweep loads about 3.6k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 2,097 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- Deprecations: there is no `.env` file here, the keys are already exported, so skip that export line. Mark an entry `deAutomated 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,097 words (~3,567 tokens).
“The prompt a scheduled cloud routine runs each weekday morning. It is a thin wrapper: the procedure lives in claude-maintain-models, kiln-check-deprecation and open-pr; this file pre-answers their gates so a run finishes with nobody watching. The design, the reasons behind…”
Just SKILL.md in .agents/skills/kiln-model-sweep of Kiln-AI/Kiln.
Open the folder on GitHubat commit 8ac9075
Kiln Model Sweep 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 |
|---|---|---|---|---|---|---|
| Kiln Model Sweep this skillKiln-AI/Kiln | 5.2k | — | ~3.6k | Automated safety check: Notes | Custom licence | |
| Quality FlywheelGoogleCloudPlatform/vertex-ai-samples | 792 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Scaffold Examplecomet-ml/comet-examples | 174 | — | ~1k | Automated safety check: Pass | None | |
| Adapting Transfer Learning Modelsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Christopher ManningK-Dense-AI/mimeo | 282 | — | ~1.8k | Automated safety check: Pass | MIT | |
| ML Cv Specialistalirezarezvani/claude-cto-team | 117 | — | ~3.1k | Automated safety check: Pass | MIT |
GoogleCloudPlatform/vertex-ai-samples
Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK.
comet-ml/comet-examples
Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
K-Dense-AI/mimeo
Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab).
alirezarezvani/claude-cto-team
Deep expertise in ML/CV model selection, training pipelines, and inference architecture.
Orchestra-Research/AI-Research-SKILLs
Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards.
Kiln-AI/Kiln
Check Kiln's model list for deprecated or sunset models across all providers.
Kiln-AI/Kiln
Check Kiln's fine-tunable model list for deprecated or unsupported base models.
Kiln-AI/Kiln
Post a "what's changed since the last release" recap to the release Slack channel for final QA.
Kiln-AI/Kiln
Kiln's code conventions and per-area gotchas, plus a diff gate that enforces the mechanical ones.
Kiln-AI/Kiln
Look at Kiln's UI in a real browser, and run its end-to-end tests.
Kiln-AI/Kiln
Open a pull request on the Kiln repo for a human to complete.
Works with
Categories
The scheduled model sweep. An agent skill from Kiln-AI/Kiln. Kiln Model Sweep is an agent skill from Kiln-AI/Kiln. The scheduled model sweep.
Kiln Model Sweep fits situations like: asked to run the model sweep by hand; deprecate models unattended; change how the daily sweep behaves.
Run `npx skills add Kiln-AI/Kiln --skill kiln-model-sweep -a claude-code`. Or copy the skill folder (.agents/skills/kiln-model-sweep in Kiln-AI/Kiln) into .claude/skills/kiln-model-sweep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Kiln-AI/Kiln --skill kiln-model-sweep -a codex`. Or copy the skill folder (.agents/skills/kiln-model-sweep in Kiln-AI/Kiln) into .agents/skills/kiln-model-sweep in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kiln-AI/Kiln --skill kiln-model-sweep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kiln-model-sweep, .gemini/skills/kiln-model-sweep, .github/skills/kiln-model-sweep and .opencode/skills/kiln-model-sweep in your project.
Going by SKILL.md and its folder, Kiln Model Sweep needs the command-line tools its instructions call (uv, git, npm, gh and python3) and credentials named FIREWORKS_API_KEY, ANTHROPIC_API_KEY and KILN_ANTHROPIC_API_KEY. Our summary lists: Python 3; Docker; A credential in FIREWORKS_API_KEY; A credential in ANTHROPIC_API_KEY.
SKILL.md contains no URLs. Its commands use uv, git, npm and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Kiln Model Sweep has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Kiln Model Sweep: Quality Flywheel (GoogleCloudPlatform/vertex-ai-samples, 792 stars), Scaffold Example (comet-ml/comet-examples, 174 stars), Adapting Transfer Learning Models (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Christopher Manning (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Kiln-AI (a GitHub organization) maintains it in Kiln-AI/Kiln, which has 5,181 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: Kiln-AI/Kiln on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.