AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill aws-cost-cleanupgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/aws-cost-cleanup)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/aws-cost-cleanup"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/aws-cost-cleanup/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/sickn33/agentic-awesome-skills/aws-cost-cleanup"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/aws-cost-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00015 | $0.02032 |
| Opus 5 | $0.00008 | $0.01016 |
| Sonnet 5 | $0.00003 | $0.00406 |
| Haiku 4.5 | $0.00002 | $0.00203 |
Grade A, and why
aws-cost-cleanup scanned grade A with 0 findings 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 100% identical, 0 lines differ
- aws-cost-cleanup — 89% identical, 5 lines differ
- aws-cost-cleanup — 89% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Cost Cleanup
Automate the identification and removal of unused AWS resources to eliminate waste.
When to Use This Skill
Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.
Automated Cleanup Targets
Storage
- Unattached EBS volumes
- Old EBS snapshots (>90 days)
- Incomplete multipart S3 uploads
- Old S3 versions in versioned buckets
Compute
- Stopped EC2 instances (>30 days)
- Unused AMIs and associated snapshots
- Unused Elastic IPs
Networking
- Unused Elastic Load Balancers
- Unused NAT Gateways
- Orphaned ENIs
Cleanup Scripts
Safe Cleanup (Dry-Run First)
#!/bin/bash
# cleanup-unused-ebs.sh
echo "Finding unattached EBS volumes..."
VOLUMES=$(aws ec2 describe-volumes \
--filters Name=status,Values=available \
--query 'Volumes[*].VolumeId' \
--output text)
for vol in $VOLUMES; do
echo "Would delete: $vol"
# Uncomment to actually delete:
# aws ec2 delete-volume --volume-id $vol
done
#!/bin/bash
# cleanup-old-snapshots.sh
CUTOFF_DATE=$(date -d '90 days ago' --iso-8601)
aws ec2 describe-snapshots --owner-ids self \
--query "Snapshots[?StartTime<='$CUTOFF_DATE'].[SnapshotId,StartTime,VolumeSize]" \
--output text | while read snap_id start_time size; do
echo "Snapshot: $snap_id (Created: $start_time, Size: ${size}GB)"
# Uncomment to delete:
# aws ec2 delete-snapshot --snapshot-id $snap_id
done
#!/bin/bash
# release-unused-eips.sh
aws ec2 describe-addresses \
--query 'Addresses[?AssociationId==null].[AllocationId,PublicIp]' \
--output text | while read alloc_id public_ip; do
echo "Would release: $public_ip ($alloc_id)"
# Uncomment to release:
# aws ec2 release-address --allocation-id $alloc_id
done
S3 Lifecycle Automation
# Apply lifecycle policy to transition old objects to cheaper storage
cat > lifecycle-policy.json <<EOF
{
"Rules": [
{
"Id": "Archive old objects",
"Status": "Enabled",
"Transitions": [
{
"Days": 90,
"StorageClass": "STANDARD_IA"
},
{
"Days": 180,
"StorageClass": "GLACIER"
}
],
"NoncurrentVersionExpiration": {
"NoncurrentDays": 30
},
"AbortIncompleteMultipartUpload": {
"DaysAfterInitiation": 7
}
}
]
}
EOF
aws s3api put-bucket-lifecycle-configuration \
--bucket my-bucket \
--lifecycle-configuration file://lifecycle-policy.json
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.
- 6d ago First seen · 316 lines · 15 tokens per session scan A d40b992ba062
aws-cost-cleanup is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed 2d ago), licensed MIT. It adds 15 tokens to every session and 2,032 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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