Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PracticalSwan/agent-skills --skill hf-cloud-aws-context-discoverygit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/practicalswan/agent-skills/hf-cloud-aws-context-discovery)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/hf-cloud-aws-context-discovery"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/hf-cloud-aws-context-discovery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/hf-cloud-aws-context-discovery"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/hf-cloud-aws-context-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00132 | $0.01489 |
| Opus 5 | $0.00066 | $0.00745 |
| Sonnet 5 | $0.00026 | $0.00298 |
| Haiku 4.5 | $0.00013 | $0.00149 |
Grade C, and why
hf-cloud-aws-context-discovery scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
`aws 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 How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Context Discovery
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.
What to discover
Run these at the start of the AWS work and remember the results for the rest of the session.
1. Active profile
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.
2. Region
Resolution order — stop at the first one that produces a value:
- Region the user explicitly named in this conversation
AWS_REGIONenv varAWS_DEFAULT_REGIONenv varregionfield on the active profile in~/.aws/config- Ask the user — but only after the first four have failed
Do not fall back to us-east-1 or any other hardcoded default.
3. Credentials, account ID, caller ARN
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.
4. Identify SSO / assumed-role principals
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.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed 861167e68fcc
- 6d ago Changed a39d0c768be6
- 8d ago First seen · 126 lines · 132 tokens per session scan C aa76f00bf005
hf-cloud-aws-context-discovery is a skill published in the GitHub repository PracticalSwan/agent-skills (14 stars, last pushed 4d ago), licensed MIT. It adds 132 tokens to every session and 1,489 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
agentcore-investigation
Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
framework-compliance-triage
Make a cloud account compliant with a security or industry framework using Prowler Cloud.
aws-step-functions
Build workflows with AWS Step Functions state machines using the JSONata query language. Covers Amazon States Language (ASL) structure, state types, variables, data transformation, error handling, AWS service integration, and migrating from the JSONPath to the JSONata query language.
hyperpod-version-checker
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches…
ec2
AWS EC2 virtual machine management — instances, security groups, key pairs, AMIs, EBS volumes, Auto Scaling Groups, Spot Instances, Session Manager, placement groups, and instance lifecycle automation. Trigger on ANY of these, even when EC2 isn't named explicitly: - Launching or provisioning: "spin up a server"…
cloudwatch
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.