Gemini Skill
WJZ-P/gemini-skill
通过 Gemini 官网（gemini.google.com）执行生图、对话等操作。用户提到"生图/画图/绘图/nano banana/nanobanana/生成图片"等关键词时触发。操作方式分三级优先级：首选 MCP 工具 → 次选 Skill 脚本 → 最次连接 Skill 浏览器手动操作（需用户授权）。禁止自行启动外部浏览器访问 Gemini。
Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result.
Install Kst AI Assets Usage
$ npx skills add pivoshenko/kasetto --skill kst-ai-assets-usage -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pivoshenko/kasetto kst-ai-assets-usage --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/pivoshenko/kasetto.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kst-ai-assets-usage .claude/skills/kst-ai-assets-usage && 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 "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .claude/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usageType 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 pivoshenko/kasetto --skill kst-ai-assets-usage -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pivoshenko/kasetto kst-ai-assets-usage --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pivoshenko/kasetto.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kst-ai-assets-usage .agents/skills/kst-ai-assets-usage && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .agents/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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 pivoshenko/kasetto --skill kst-ai-assets-usage -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pivoshenko/kasetto kst-ai-assets-usage --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pivoshenko/kasetto.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kst-ai-assets-usage .cursor/skills/kst-ai-assets-usage && 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 "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .cursor/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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/pivoshenko/kasetto.git --path skills/kst-ai-assets-usage--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 pivoshenko/kasetto --skill kst-ai-assets-usage -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pivoshenko/kasetto kst-ai-assets-usage --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pivoshenko/kasetto.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kst-ai-assets-usage .gemini/skills/kst-ai-assets-usage && 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 "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .gemini/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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 pivoshenko/kasetto kst-ai-assets-usageInstalls 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 pivoshenko/kasetto --skill kst-ai-assets-usage -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pivoshenko/kasetto.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kst-ai-assets-usage .github/skills/kst-ai-assets-usage && 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 "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .github/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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 pivoshenko/kasetto --skill kst-ai-assets-usage -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pivoshenko/kasetto kst-ai-assets-usage --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pivoshenko/kasetto.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kst-ai-assets-usage .opencode/skills/kst-ai-assets-usage && 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 "kst-ai-assets-usage" agent skill from https://github.com/pivoshenko/kasetto/tree/main/skills/kst-ai-assets-usage into .opencode/skills/kst-ai-assets-usage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kst-ai-assets-usage", 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
kst-ai-assets-usage- GitHub stars
- 208
- Token cost
- ~2.1k tokens
- SKILL.md length
- 1,176 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result.
- The user asks what agent assets they actually use
- SKILL.md covers Run It, The Rule That Matters: Never…, Reading the Output and Recommending Removals, plus 2 more sections
- Runs Python scripts from its folder; calls python3
- MCPs are dead weight
What it does
Kst AI Assets Usage is an agent skill from pivoshenko/kasetto. Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result. Use whenever the user asks what agent assets they actually use, which skills or MCPs are dead weight, what to prune or clean up from kasetto.yaml, why their context is bloated with unused MCP servers, whether a skill has ever been invoked, or wants a usage report, audit, or dashboard of their agent setup. Also trigger on "kst ai assets usage", "ai…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/providers.md`, `scripts/collect.py` and `scripts/render.py`).
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and Google Gemini. The repository describes itself as: 📼 Declarative AI agent environment manager, written in Rust.
When your agent uses it
- The user asks what agent assets they actually use
- MCPs are dead weight
- Clean up from kasetto.yaml
- Why their context is bloated with unused MCP servers
Example prompts
- “kst ai assets usage”
- “ai asset usage”
- “what skills do I actually use”
- “/kst-ai-assets-usage”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 296c9c3. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Kst AI Assets Usage loads about 2.1k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 186 tokens; SKILL.md has 1,176 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); 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 1,176 words (~2,052 tokens).
“Kasetto knows what you installed. Each agent knows what it ran. Nothing on the machine joins the two, so installed-and-forgotten assets accumulate silently - skills nobody has ever invoked, MCP servers loading tool definitions into every request for a server…”
- name
- kst-ai-assets-usage
Files
SKILL.md and 3 other files (scripts, references) in skills/kst-ai-assets-usage of pivoshenko/kasetto.
- SKILL.md
- references/providers.md
- scripts/collect.py
- scripts/render.py
Open the folder on GitHubat commit 296c9c3
Compare with similar skills
Kst AI Assets Usage 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 |
|---|---|---|---|---|---|---|
| Kst AI Assets Usage this skillpivoshenko/kasetto | 208 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Gemini SkillWJZ-P/gemini-skill | 832 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Documentation Serverandrea9293/mcp-documentation-server | 343 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Migrate To Antigravityyuting0624/antigravity-for-claude-code | 375 | — | ~2k | Automated safety check: Pass | MIT | |
| Gemini Agents APIgoogle/skills | 21k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Unraiddinglebear-ai/unraid | 135 | — | ~5.4k | Automated safety check: Notes | MIT |
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Related
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Questions about Kst AI Assets Usage
What does Kst AI Assets Usage do?
Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result. Kst AI Assets Usage is an agent skill from pivoshenko/kasetto. Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result.
When should I use Kst AI Assets Usage?
Kst AI Assets Usage fits situations like: the user asks what agent assets they actually use; MCPs are dead weight; clean up from kasetto.yaml; why their context is bloated with unused MCP servers.
How do I install Kst AI Assets Usage in Claude Code?
Run `npx skills add pivoshenko/kasetto --skill kst-ai-assets-usage -a claude-code`. Or copy the skill folder (skills/kst-ai-assets-usage in pivoshenko/kasetto) into .claude/skills/kst-ai-assets-usage in your project. Claude Code loads it when a task matches its description.
How do I install Kst AI Assets Usage in Codex?
Run `npx skills add pivoshenko/kasetto --skill kst-ai-assets-usage -a codex`. Or copy the skill folder (skills/kst-ai-assets-usage in pivoshenko/kasetto) into .agents/skills/kst-ai-assets-usage in your project. Codex loads it when a task matches its description.
Can I use Kst AI Assets Usage 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 pivoshenko/kasetto --skill kst-ai-assets-usage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kst-ai-assets-usage, .gemini/skills/kst-ai-assets-usage, .github/skills/kst-ai-assets-usage and .opencode/skills/kst-ai-assets-usage in your project.
What does Kst AI Assets Usage need to run?
Going by SKILL.md and its folder, Kst AI Assets Usage needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Kst AI Assets Usage 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 Kst AI Assets Usage 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Kst AI Assets Usage use?
Kst AI Assets Usage 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 Kst AI Assets Usage use?
About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 983 tokens, read only when the agent opens those files.
What are the alternatives to Kst AI Assets Usage?
Skills that share tags, products or a category with Kst AI Assets Usage: Gemini Skill (WJZ-P/gemini-skill, 832 stars), Documentation Server (andrea9293/mcp-documentation-server, 343 stars), Migrate To Antigravity (yuting0624/antigravity-for-claude-code, 375 stars) and Gemini Agents API (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kst AI Assets Usage?
pivoshenko (a GitHub user) maintains it in pivoshenko/kasetto, which has 208 GitHub stars. The repository was last updated on October 7, 2026.
Source: pivoshenko/kasetto on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.