SageMaker IAM Role Preflight
huggingface/skills
Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create.
Official agent skill
Clean Workshop
by aws-samples in aws-samples/sample-amazon-bedrock-agentcore-onboarding
Clean up AWS resources created by the AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding.
OfficialMIT-0Auto-check: notes
Install Clean Workshop
$ npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshop --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-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/clean-workshop .claude/skills/clean-workshop && 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 "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .claude/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshopType 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/clean-workshop .agents/skills/clean-workshop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .agents/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/clean-workshop .cursor/skills/clean-workshop && 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 "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .cursor/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding.git --path .claude/skills/clean-workshop--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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/clean-workshop .gemini/skills/clean-workshop && 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 "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .gemini/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshopInstalls 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/clean-workshop .github/skills/clean-workshop && 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 "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .github/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -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-samples/sample-amazon-bedrock-agentcore-onboarding clean-workshop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/clean-workshop .opencode/skills/clean-workshop && 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 "clean-workshop" agent skill from https://github.com/aws-samples/sample-amazon-bedrock-agentcore-onboarding/tree/main/.claude/skills/clean-workshop into .opencode/skills/clean-workshop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-workshop", 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
clean-workshop- GitHub stars
- 133
- Token cost
- ~789 tokens
- SKILL.md length
- 370 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT-0
At a glance
Clean up AWS resources created by the AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding.
- Works in 7 steps: 09_browser_use first (independent,… → 08_policy second (depends on 07_gateway) → 07_gateway (depends on 06_identity) → …
- Someone wants to tear down
- SKILL.md covers Usage, Arguments, Steps with Cleanable Resources and Dependency Order (CRITICAL), plus 2 more sections
- Calls uv
What it does
Clean Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Clean up AWS resources created by the AgentCore workshop. Use when someone wants to tear down, clean up, or remove workshop resources.
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Amazon Web Services. The licence is MIT-0.
When your agent uses it
- Someone wants to tear down
- Remove workshop resources
Example prompts
- “/clean-workshop”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 09_browser_use first (independent, ephemeral sessions)
- 08_policy second (depends on 07_gateway)
- 07_gateway (depends on 06_identity)
- 06_identity (depends on 02_runtime)
- 05_evaluation (independent)
- 03_memory (independent)
- 02_runtime last (other steps depend on it)
What it can do on your machine
Read from SKILL.md and the folder at commit 376ee7c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadGlobGrepTaskTaskCreateTaskUpdateTaskList
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, 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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Clean Workshop loads about 789 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 370 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList
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-samples/sample-amazon-bedrock-agentcore-onboarding at commit 376ee7c, republished under its MIT-0 licence (© aws-samples). 370 words, ~789 tokens.
Download SKILL.mdSave it as
.claude/skills/clean-workshop/SKILL.md (or your agent's skills folder).- name
- clean-workshop
- description
- Clean up AWS resources created by the AgentCore workshop. Use when someone wants to tear down, clean up, or remove workshop resources.
- allowed-tools
- Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList
Clean Workshop Resources
Clean up AWS resources created by the AgentCore onboarding workshop.
Usage
/clean-workshop— Clean all workshop resources (09, 08, 07, 06, 05, 03, 02)/clean-workshop 02— Clean only step 02 (runtime)/clean-workshop 02 03— Clean steps 02 and 03/clean-workshop 05 06 07— Clean steps 05, 06, and 07/clean-workshop 08 09— Clean steps 08 and 09
Arguments
$ARGUMENTS contains space-separated step numbers to clean (e.g., 02 03 07).
If empty, clean ALL steps that have resources.
Steps with Cleanable Resources
Only these steps create AWS resources that need cleanup:
| Step | Directory | Resources | Config File |
|---|---|---|---|
| 02 | 02_runtime/ | Agent runtime, ECR repository, config files | .bedrock_agentcore.yaml |
| 03 | 03_memory/ | Memory instances (prefix: cost_estimator_memory) | None |
| 05 | 05_evaluation/ | Custom evaluator (name: cost_estimator_tool_usage) | None |
| 06 | 06_identity/ | OAuth2 provider, Cognito user pool/client/domain, runtime | inbound_authorizer.json |
| 07 | 07_gateway/ | Gateway targets, gateway, config files | outbound_gateway.json |
| 08 | 08_policy/ | Policy engine, policies, Cognito app clients | policy_config.json |
| 09 | 09_browser_use/ | Browser sessions (ephemeral, auto-expire) | None |
Dependency Order (CRITICAL)
Resources MUST be cleaned in reverse dependency order to avoid errors:
- 09_browser_use first (independent, ephemeral sessions)
- 08_policy second (depends on 07_gateway)
- 07_gateway (depends on 06_identity)
- 06_identity (depends on 02_runtime)
- 05_evaluation (independent)
- 03_memory (independent)
- 02_runtime last (other steps depend on it)
Execution
For each step to clean, run:
cd <project_root>/<step_directory> && uv run python clean_resources.pyShow full SKILL.md (160 more words)Show less
Before cleaning each step:
- Check if the config file exists (indicates resources were created)
- If no config file, skip that step with a message
- Run
clean_resources.pyfrom within the step directory (scripts use relative paths) - Report success or failure for each step
Error handling:
- If a step fails, log the error and continue with remaining steps
- Report a summary at the end showing which steps succeeded/failed
- Common errors: ResourceNotFoundException (already deleted), config file missing (never created)
Implementation
- Parse
$ARGUMENTSto determine which steps to clean. If empty, use all:09 08 07 06 05 03 02 - Sort the requested steps in correct cleanup order: 09, 08, 07, 06, 05, 03, 02
- Create a task list tracking each step
- For each step (in order):
a. Check if the step directory and config file exist
b. If resources exist, run
clean_resources.pyfrom that directory c. Mark task as completed - Print a final summary
© aws-samples, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/clean-workshop of aws-samples/sample-amazon-bedrock-agentcore-onboarding.
Open the folder on GitHubat commit 376ee7c
Compare with similar skills
Clean Workshop 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 |
|---|---|---|---|---|---|---|
| Clean Workshop this skillaws-samples/sample-amazon-bedrock-agentcore-onboarding | 133 | — | ~789 | Automated safety check: Notes | MIT-0 | |
| SageMaker IAM Role Preflighthuggingface/skills | 11k | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Cost Optimizationwshobson/agents | 40k | 13 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Paperclip Pagepaperclipai/paperclip | 98k | — | ~1k | Automated safety check: Pass | MIT |
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Related
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Questions about Clean Workshop
What does Clean Workshop do?
Clean up AWS resources created by the AgentCore workshop. An agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding. Clean Workshop is an agent skill from aws-samples/sample-amazon-bedrock-agentcore-onboarding, published by the product's own GitHub organization. Clean up AWS resources created by the AgentCore workshop.
When should I use Clean Workshop?
Clean Workshop fits situations like: someone wants to tear down; remove workshop resources.
How do I install Clean Workshop in Claude Code?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a claude-code`. Or copy the skill folder (.claude/skills/clean-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .claude/skills/clean-workshop in your project. Claude Code loads it when a task matches its description.
How do I install Clean Workshop in Codex?
Run `npx skills add aws-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a codex`. Or copy the skill folder (.claude/skills/clean-workshop in aws-samples/sample-amazon-bedrock-agentcore-onboarding) into .agents/skills/clean-workshop in your project. Codex loads it when a task matches its description.
Can I use Clean Workshop 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-samples/sample-amazon-bedrock-agentcore-onboarding --skill clean-workshop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clean-workshop, .gemini/skills/clean-workshop, .github/skills/clean-workshop and .opencode/skills/clean-workshop in your project.
What does Clean Workshop need to run?
Going by SKILL.md and its folder, Clean Workshop needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Glob, Grep, Task, TaskCreate, TaskUpdate, TaskList.
Does Clean Workshop 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 Clean Workshop safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Clean Workshop use?
Clean Workshop is published under the MIT-0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Clean Workshop use?
About 789 tokens (SKILL.md is roughly 3.2k 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 Clean Workshop?
Skills that share tags, products or a category with Clean Workshop: SageMaker IAM Role Preflight (huggingface/skills, 11k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Cloud Cost Optimization (wshobson/agents, 40k stars) and Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Clean Workshop?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-amazon-bedrock-agentcore-onboarding, which has 133 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 1, 2026.
Source: aws-samples/sample-amazon-bedrock-agentcore-onboarding on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.