Agent skill

Kiln Check Finetune Deprecation

by Kiln-AI in Kiln-AI/Kiln

Check Kiln's fine-tunable model list for deprecated or unsupported base models.

Custom licenceAuto-check: notesAI & LLM Engineering

Install Kiln Check Finetune Deprecation

skills CLI
$ npx skills add Kiln-AI/Kiln --skill kiln-check-finetune-deprecation -a claude-code

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

GitHub CLI
$ gh skill install Kiln-AI/Kiln kiln-check-finetune-deprecation --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/Kiln-AI/Kiln.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/kiln-check-finetune-deprecation .claude/skills/kiln-check-finetune-deprecation && 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
kiln-check-finetune-deprecation
GitHub stars
5.2k
Token cost
~1.9k tokens
SKILL.md length
753 words
Files
2 (incl. scripts)
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

Check Kiln's fine-tunable model list for deprecated or unsupported base models.

  • Works in 5 steps: Check Static Fine-Tune IDs → Check Fireworks Dynamic Models → Report Findings → …
  • The user wants to audit fine-tuning support
  • SKILL.md covers Global Rules, Supported Providers, Background and Phase 1 – Check Static…, plus 5 more sections
  • Runs Python scripts from its folder; calls uv and gcloud; needs OPENAI_API_KEY and TOGETHER_API_KEY

What it does

Kiln Check Finetune Deprecation is an agent skill from Kiln-AI/Kiln. Check Kiln's fine-tunable model list for deprecated or unsupported base models. Use when the user wants to audit fine-tuning support, check if fine-tune base models are still valid, or mentions fine-tune model deprecation.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/check_finetune.py`).

It sits in AI & LLM Engineering, covering Fine-tuning. It works with OpenAI, Python, Google Cloud and Together AI. 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.

When your agent uses it

  • The user wants to audit fine-tuning support
  • Check if fine-tune base models are still valid
  • Mentions fine-tune model deprecation

Example prompts

  • “/kiln-check-finetune-deprecation”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY
  • A credential in TOGETHER_API_KEY

Workflow steps

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

  1. Check Static Fine-Tune IDs
  2. Check Fireworks Dynamic Models
  3. Report Findings
  4. Remediation
  5. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 8ac9075. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • gcloud

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

  • Network

    No URLs in SKILL.md. Its commands use uv and gcloud, which can reach the network depending on how they are called.

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY
    • TOGETHER_API_KEY
    • FIREWORKS_API_KEY

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

Context cost

Kiln Check Finetune Deprecation loads about 1.9k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 753 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:15
    - **Env vars:** Source `.env` before running check scripts: `export $(grep -v '^#' .env | xargs)`
  • NoteMentions a .env fileSKILL.md:159
    - [ ] Env vars sourced from `.env`

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); the scripts in this folder 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 753 words (~1,928 tokens).

“Audit the fine-tunable models listed in Kiln to find base models that are no longer supported for fine-tuning by their providers. This is separate from general model deprecation — a model can still be available for inference but no longer…”

— opening of SKILL.md by Kiln-AI, Custom licence
name
kiln-check-finetune-deprecation

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .agents/skills/kiln-check-finetune-deprecation of Kiln-AI/Kiln.

  • SKILL.md
  • scripts/check_finetune.py

Open the folder on GitHubat commit 8ac9075

Compare with similar skills

Kiln Check Finetune Deprecation 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.

Kiln Check Finetune Deprecation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kiln Check Finetune Deprecation this skillKiln-AI/Kiln5.2k—~1.9kAutomated safety check: NotesCustom licence
Gemini APIgoogle/skills21k1 repos~2.6kAutomated safety check: PassApache-2.0
Vertex AI API DevJetBrains/skills3661 repos~2.4kAutomated safety check: PassNone
Neo4j Genai Plugin Skillneo4j-contrib/neo4j-skills114—~3kAutomated safety check: NotesMIT
Llama Cppmagnus919/agent-skills115—~2.3kAutomated safety check: PassMIT
Vertex Engine Inspectorjeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT

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Questions about Kiln Check Finetune Deprecation

What does Kiln Check Finetune Deprecation do?

Check Kiln's fine-tunable model list for deprecated or unsupported base models. Kiln Check Finetune Deprecation is an agent skill from Kiln-AI/Kiln. Check Kiln's fine-tunable model list for deprecated or unsupported base models.

When should I use Kiln Check Finetune Deprecation?

Kiln Check Finetune Deprecation fits situations like: the user wants to audit fine-tuning support; check if fine-tune base models are still valid; mentions fine-tune model deprecation.

How do I install Kiln Check Finetune Deprecation in Claude Code?

Run `npx skills add Kiln-AI/Kiln --skill kiln-check-finetune-deprecation -a claude-code`. Or copy the skill folder (.agents/skills/kiln-check-finetune-deprecation in Kiln-AI/Kiln) into .claude/skills/kiln-check-finetune-deprecation in your project. Claude Code loads it when a task matches its description.

How do I install Kiln Check Finetune Deprecation in Codex?

Run `npx skills add Kiln-AI/Kiln --skill kiln-check-finetune-deprecation -a codex`. Or copy the skill folder (.agents/skills/kiln-check-finetune-deprecation in Kiln-AI/Kiln) into .agents/skills/kiln-check-finetune-deprecation in your project. Codex loads it when a task matches its description.

Can I use Kiln Check Finetune Deprecation 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 Kiln-AI/Kiln --skill kiln-check-finetune-deprecation -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-check-finetune-deprecation, .gemini/skills/kiln-check-finetune-deprecation, .github/skills/kiln-check-finetune-deprecation and .opencode/skills/kiln-check-finetune-deprecation in your project.

What does Kiln Check Finetune Deprecation need to run?

Going by SKILL.md and its folder, Kiln Check Finetune Deprecation needs Python for the scripts in its folder, the command-line tools its instructions call (uv and gcloud) and credentials named OPENAI_API_KEY, TOGETHER_API_KEY and FIREWORKS_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in TOGETHER_API_KEY.

Does Kiln Check Finetune Deprecation access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Kiln Check Finetune Deprecation safe to install?

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Kiln Check Finetune Deprecation use?

Kiln Check Finetune Deprecation 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 Kiln Check Finetune Deprecation use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Kiln Check Finetune Deprecation?

Skills that share tags, products or a category with Kiln Check Finetune Deprecation: Gemini API (google/skills, 21k stars), Vertex AI API Dev (JetBrains/skills, 366 stars), Neo4j Genai Plugin Skill (neo4j-contrib/neo4j-skills, 114 stars) and Llama Cpp (magnus919/agent-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kiln Check Finetune Deprecation?

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.