Update Quarto in RStudio
rstudio/rstudio
Bumps the pinned Quarto version across the RStudio repository, mirrors the release to the rstudio-buildtools S3 bucket, verifies it and opens a PR, on macOS and Linux.
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and…
Install AWS Cleanrooms
$ npx skills add aws/agent-toolkit-for-aws --skill aws-cleanrooms -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-cleanrooms --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/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .claude/skills/aws-cleanrooms && 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 "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .claude/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanroomsType 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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-cleanrooms --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .agents/skills/aws-cleanrooms && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .agents/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-cleanrooms --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .cursor/skills/aws-cleanrooms && 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 "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .cursor/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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/aws/agent-toolkit-for-aws.git --path skills/specialized-skills/analytics-skills/aws-cleanrooms--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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-cleanrooms --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .gemini/skills/aws-cleanrooms && 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 "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .gemini/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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 aws/agent-toolkit-for-aws aws-cleanroomsInstalls 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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .github/skills/aws-cleanrooms && 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 "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .github/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws/agent-toolkit-for-aws aws-cleanrooms --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/specialized-skills/analytics-skills/aws-cleanrooms .opencode/skills/aws-cleanrooms && 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 "aws-cleanrooms" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/analytics-skills/aws-cleanrooms into .opencode/skills/aws-cleanrooms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-cleanrooms", 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
aws-cleanrooms- GitHub stars
- 2.8k
- Token cost
- ~427 tokens
- SKILL.md length
- 109 words
- Files
- 3 (incl. references)
- Skills in repo
- 138
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and…
- A customer reports permission failures
- SKILL.md covers Overview, Common tasks and Additional resources
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Log publishing issues in Clean Rooms
What it does
AWS Cleanrooms is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/custom-model-logging-debugging.md` and `references/permission-debugging.md`).
It sits in Data & Analytics, covering Machine learning. It works with Amazon Web Services and Amazon S3. The repository describes itself as: Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS. The licence is Apache-2.0.
When your agent uses it
- A customer reports permission failures
- Log publishing issues in Clean Rooms
Example prompts
- “Use the aws-cleanrooms skill to troubleshoot and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys…”
- “/aws-cleanrooms”
What it can do on your machine
Read from SKILL.md and the folder at commit df2ab44. 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
Links to these hosts (documentation or services it may open):
docs.aws.amazon.com
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
AWS Cleanrooms loads about 427 tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 109 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
The full file from aws/agent-toolkit-for-aws at commit df2ab44, republished under its Apache-2.0 licence (© aws). 109 words, ~427 tokens.
Download SKILL.mdSave it as
.claude/skills/aws-cleanrooms/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- aws-cleanrooms
- description
- Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
- version
- 1
AWS Clean Rooms
Overview
Domain expertise for troubleshooting AWS Clean Rooms collaborations and custom ML modeling. Covers permission debugging, data access issues, and CloudWatch logging configuration.
Common tasks
Debugging Clean Rooms errors
Determine the failure type:
Access denied or permission error? → See permission debugging procedure. Covers IAM role policies (inline + attached managed), S3 bucket policies, KMS key policies, Lake Formation permissions, and cross-account trust.
Missing CloudWatch logs for custom model jobs? → See custom model logging debugging procedure. Covers Configured Model Algorithm Association privacy configuration, ML Configuration role permissions, and log group verification.
Additional resources
© aws, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/specialized-skills/analytics-skills/aws-cleanrooms of aws/agent-toolkit-for-aws.
- SKILL.md
- references/custom-model-logging-debugging.md
- references/permission-debugging.md
Open the folder on GitHubat commit df2ab44
Compare with similar skills
AWS Cleanrooms 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 |
|---|---|---|---|---|---|---|
| AWS Cleanrooms this skillaws/agent-toolkit-for-aws | 2.8k | — | ~427 | Automated safety check: Pass | Apache-2.0 | |
| Update Quarto in RStudiorstudio/rstudio | 5.1k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| AWS Step Functionsawslabs/agent-plugins | 915 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Tracking Model Versionsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Migrate Glue Devendpoint To Interactive Sessionsaws-samples/aws-glue-samples | 1.5k | — | ~3.6k | Automated safety check: Pass | MIT-0 | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about AWS Cleanrooms
What does AWS Cleanrooms do?
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and…. AWS Cleanrooms is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs.
When should I use AWS Cleanrooms?
AWS Cleanrooms fits situations like: A customer reports permission failures; log publishing issues in Clean Rooms.
How do I install AWS Cleanrooms in Claude Code?
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-cleanrooms -a claude-code`. Or copy the skill folder (skills/specialized-skills/analytics-skills/aws-cleanrooms in aws/agent-toolkit-for-aws) into .claude/skills/aws-cleanrooms in your project. Claude Code loads it when a task matches its description.
How do I install AWS Cleanrooms in Codex?
Run `npx skills add aws/agent-toolkit-for-aws --skill aws-cleanrooms -a codex`. Or copy the skill folder (skills/specialized-skills/analytics-skills/aws-cleanrooms in aws/agent-toolkit-for-aws) into .agents/skills/aws-cleanrooms in your project. Codex loads it when a task matches its description.
Can I use AWS Cleanrooms 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 aws/agent-toolkit-for-aws --skill aws-cleanrooms -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-cleanrooms, .gemini/skills/aws-cleanrooms, .github/skills/aws-cleanrooms and .opencode/skills/aws-cleanrooms in your project.
What does AWS Cleanrooms need to run?
SKILL.md names no scripts, command-line tools or credentials: AWS Cleanrooms is instructions for the agent only.
Does AWS Cleanrooms access the network?
SKILL.md names 1 domain. As links in the text: docs.aws.amazon.com. This is read from the text; nothing was executed.
Is AWS Cleanrooms 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 AWS Cleanrooms use?
AWS Cleanrooms is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AWS Cleanrooms use?
About 427 tokens (SKILL.md is roughly 1.7k 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to AWS Cleanrooms?
Skills that share tags, products or a category with AWS Cleanrooms: Update Quarto in RStudio (rstudio/rstudio, 5.1k stars), AWS Step Functions (awslabs/agent-plugins, 915 stars), Tracking Model Versions (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Migrate Glue Devendpoint To Interactive Sessions (aws-samples/aws-glue-samples, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AWS Cleanrooms?
aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,830 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on October 9, 2026.
Source: aws/agent-toolkit-for-aws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.