Hyperpod Issue Report
awslabs/agent-plugins
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add huggingface/skills --skill hf-cloud-aws-context-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huggingface/skills hf-cloud-aws-context-discovery --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/huggingface/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .claude/skills/hf-cloud-aws-context-discovery && 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 "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .claude/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discoveryType 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 huggingface/skills --skill hf-cloud-aws-context-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huggingface/skills hf-cloud-aws-context-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huggingface/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .agents/skills/hf-cloud-aws-context-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .agents/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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 huggingface/skills --skill hf-cloud-aws-context-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huggingface/skills hf-cloud-aws-context-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huggingface/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .cursor/skills/hf-cloud-aws-context-discovery && 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 "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .cursor/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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/huggingface/skills.git --path skills/hf-cloud-aws-context-discovery--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 huggingface/skills --skill hf-cloud-aws-context-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huggingface/skills hf-cloud-aws-context-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huggingface/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .gemini/skills/hf-cloud-aws-context-discovery && 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 "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .gemini/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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 huggingface/skills hf-cloud-aws-context-discoveryInstalls 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 huggingface/skills --skill hf-cloud-aws-context-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huggingface/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .github/skills/hf-cloud-aws-context-discovery && 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 "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .github/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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 huggingface/skills --skill hf-cloud-aws-context-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huggingface/skills hf-cloud-aws-context-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huggingface/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hf-cloud-aws-context-discovery .opencode/skills/hf-cloud-aws-context-discovery && 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 "hf-cloud-aws-context-discovery" agent skill from https://github.com/huggingface/skills/tree/main/skills/hf-cloud-aws-context-discovery into .opencode/skills/hf-cloud-aws-context-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hf-cloud-aws-context-discovery", 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.
hf-cloud-aws-context-discoveryDiscover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task.
Hf Cloud AWS Context Discovery is an agent skill from huggingface/skills, published by the product's own GitHub organization. Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID —…
Its SKILL.md is about 990 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 DevOps & Cloud, covering Authentication. It works with Amazon Web Services and Amazon SageMaker. The repository describes itself as: Give your agents the power of the Hugging Face ecosystem. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ca0325b. 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:
awsFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hf Cloud AWS Context Discovery loads about 989 tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 431 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 found patterns that need a careful read before installing.
list profiles), `~/.aws/config` and `~/.aws/credentials` are plain INI files — read-only.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.
The full file from huggingface/skills at commit ca0325b, republished under its Apache-2.0 licence (© huggingface). 431 words, ~989 tokens.
.claude/skills/hf-cloud-aws-context-discovery/SKILL.md (or your agent's skills folder).Before doing any AWS work, read the user's local AWS config. Don't guess the region, and don't ask the user for things their config already answers.
Run these at the start of the AWS work and remember the results for the rest of the session.
AWS_PROFILE env var, else default. If the user mentioned a profile in their prompt, that overrides. If the named profile doesn't exist in ~/.aws/config, surface that clearly.
Resolution order — stop at the first one that produces a value:
AWS_REGION env varAWS_DEFAULT_REGION env varregion field on the active profile in ~/.aws/configDo not fall back to us-east-1 or any other hardcoded default.
aws sts get-caller-identity --profile <profile> --region <region>Three purposes in one call: confirms credentials are valid (stop if not), returns the Account ID (needed for ARN construction), returns the Arn of the caller.
The Arn field tells you what kind of principal this is. The pattern matters because it determines what IAM operations the caller can do.
| ARN pattern | Type | IAM write capability |
|---|---|---|
arn:aws:iam::<acct>:user/<name> | IAM user | Depends on attached policies |
arn:aws:sts::<acct>:assumed-role/AWSReservedSSO_<...>/<email> | SSO assumed-role | Typically none — can't create/modify IAM roles |
arn:aws:sts::<acct>:assumed-role/<role>/<session> | Regular assumed-role | Depends on the role |
If the caller is SSO, surface this immediately before later skills hit iam:CreateRole and fail:
Heads up: you're authenticated via SSO (
AWSReservedSSO_<PermissionSet>_...). SSO principals usually can't create IAM roles directly. If we need a SageMaker execution role, I'll look for an existing one first — if none exists, you'll need to ask whoever manages your AWS access to create one.
This is the highest-leverage thing this skill does. Surfacing it now turns a confusing mid-deployment error into a five-second conversation.
# Effective profile and region (faster than parsing config files)
aws configure list
# Validate credentials and get identity
aws sts get-caller-identity
aws sts get-caller-identity --profile <profile-name> # if a profile was namedaws configure list handles env-var overrides and shows the resolved effective values. Prefer it over parsing ~/.aws/config yourself. If you need to read raw config (e.g. to list profiles), ~/.aws/config and ~/.aws/credentials are plain INI files — read-only.
One or two lines, not a wall of text:
Working with profile
my-profileineu-west-1, account123456789012. You're authenticated via SSO, so we'll need to use an existing IAM role rather than create one.
Don't ask the user to confirm the region you just read from their config — they configured it; that is the confirmation.
If something is wrong (credentials expired, profile doesn't exist, no region anywhere), stop and surface the specific error before continuing.
© huggingface, 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
Just SKILL.md in skills/hf-cloud-aws-context-discovery of huggingface/skills.
Open the folder on GitHubat commit ca0325b
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in huggingface/skills, which our catalogue first saw on October 7, 2026.
Hf Cloud AWS Context Discovery 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 |
|---|---|---|---|---|---|---|
| Hf Cloud AWS Context Discovery this skillhuggingface/skills | 11k | 2 repos | ~989 | Automated safety check: Warn | Apache-2.0 | |
| Hyperpod Issue Reportawslabs/agent-plugins | 915 | 1 repos | ~890 | Automated safety check: Pass | Apache-2.0 | |
| Sagemaker AI Ops Reviewaws/tools-for-devops-agent | 100 | 1 repos | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| SDK Getting Startedawslabs/agent-plugins | 915 | 1 repos | ~248 | Automated safety check: Pass | Apache-2.0 | |
| Scanning For Hardcoded Secretsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.1k | Automated safety check: Notes | MIT | |
| Troubleshootaws-samples/sample-autonomous-cloud-coding-agents | 157 | — | ~2.7k | Automated safety check: Pass | MIT-0 |
awslabs/agent-plugins
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.
aws/tools-for-devops-agent
Amazon SageMaker AI Operational Review. An agent skill from aws/tools-for-devops-agent.
awslabs/agent-plugins
Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role.
jeremylongshore/tons-of-skills-marketplace
Scan a source-code tree for hardcoded credentials embedded in source files: AWS access keys, GitHub tokens, Stripe keys, Slack tokens, Anthropic API keys, OpenAI keys, JWT signing secrets, generic…
aws-samples/sample-autonomous-cloud-coding-agents
Diagnose and fix common ABCA issues: deployment failures, preflight errors, authentication problems, agent failures, and build issues.
sickn33/agentic-awesome-skills
Discover the effective local AWS profile, region, account, and caller identity before any AWS task without exposing credentials.
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.
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
huggingface/skills
Trains or fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, then converts the results to GGUF.
huggingface/skills
Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.
huggingface/skills
Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
Works with
Categories
Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Hf Cloud AWS Context Discovery is an agent skill from huggingface/skills, published by the product's own GitHub organization. Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task.
Hf Cloud AWS Context Discovery fits situations like: has not specified a region; profile explicitly; they say things like use my AWS account; about to make any AWS CLI.
Run `npx skills add huggingface/skills --skill hf-cloud-aws-context-discovery -a claude-code`. Or copy the skill folder (skills/hf-cloud-aws-context-discovery in huggingface/skills) into .claude/skills/hf-cloud-aws-context-discovery in your project. Claude Code loads it when a task matches its description.
Run `npx skills add huggingface/skills --skill hf-cloud-aws-context-discovery -a codex`. Or copy the skill folder (skills/hf-cloud-aws-context-discovery in huggingface/skills) into .agents/skills/hf-cloud-aws-context-discovery 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 huggingface/skills --skill hf-cloud-aws-context-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hf-cloud-aws-context-discovery, .gemini/skills/hf-cloud-aws-context-discovery, .github/skills/hf-cloud-aws-context-discovery and .opencode/skills/hf-cloud-aws-context-discovery in your project.
Going by SKILL.md and its folder, Hf Cloud AWS Context Discovery needs the command-line tools its instructions call (aws).
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.
Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.
Hf Cloud AWS Context Discovery 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.
About 989 tokens (SKILL.md is roughly 4k 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 Hf Cloud AWS Context Discovery: Hyperpod Issue Report (awslabs/agent-plugins, 915 stars), Sagemaker AI Ops Review (aws/tools-for-devops-agent, 100 stars), SDK Getting Started (awslabs/agent-plugins, 915 stars) and Scanning For Hardcoded Secrets (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
huggingface (a GitHub organization, an official publisher) maintains it in huggingface/skills, which has 11,148 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 1, 2026.
Source: huggingface/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.