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 adriannoes/awesome-agentic-ai --skill remediating-s3-bucket-misconfigurationgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/remediating-s3-bucket-misconfiguration)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/remediating-s3-bucket-misconfiguration"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/remediating-s3-bucket-misconfiguration/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/adriannoes/awesome-agentic-ai/remediating-s3-bucket-misconfiguration"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/remediating-s3-bucket-misconfiguration.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 | $0.00077 | $0.02888 |
| Opus 5.5 | $0.00031 | $0.01155 |
| Sonnet 5.5 | $0.00015 | $0.00578 |
| Haiku 4.5 | $0.00008 | $0.00289 |
Grade A, and why
remediating-s3-bucket-misconfiguration 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 1mo 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.
This is a copy
88% identical to remediating-s3-bucket-misconfiguration — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remediating S3 Bucket Misconfiguration
When to Use
- When AWS Config or Security Hub reports S3 buckets with public access or missing encryption
- When a security scan reveals S3 bucket policies granting access to Principal "*" (everyone)
- When preparing for a data protection audit requiring evidence of storage security controls
- When responding to a data exposure incident involving publicly accessible S3 objects
- When establishing preventive controls for new S3 bucket creation across an AWS Organization
Do not use for Azure Blob Storage or GCP Cloud Storage misconfigurations, for S3 data classification (see implementing-cloud-dlp-policy), or for S3 access pattern analysis unrelated to security.
Prerequisites
- AWS account with S3 administrative permissions (s3:, s3-outposts:)
- AWS Config enabled to evaluate S3 resource compliance
- AWS CloudTrail logging S3 data events for access auditing
- Macie enabled for sensitive data discovery in S3 buckets
Workflow
Step 1: Identify All Public and Misconfigured Buckets
Use multiple detection methods to identify S3 buckets with public access. Rely on AWS Config rules, S3 Access Analyzer, and Macie rather than manual inspection.
# Enable S3 Access Analyzer for external access detection
aws accessanalyzer create-analyzer \
--analyzer-name s3-analyzer \
--type ACCOUNT
# List all S3 buckets with public access indicators
aws s3api list-buckets --query 'Buckets[*].Name' --output text | while read bucket; do
public_status=$(aws s3api get-public-access-block --bucket "$bucket" 2>/dev/null)
if [ $? -ne 0 ]; then
echo "NO PUBLIC ACCESS BLOCK: $bucket"
fi
done
# Check bucket policies for public access grants
aws s3api list-buckets --query 'Buckets[*].Name' --output text | while read bucket; do
policy=$(aws s3api get-bucket-policy --bucket "$bucket" 2>/dev/null)
if echo "$policy" | grep -q '"Principal":"*"' 2>/dev/null; then
echo "PUBLIC POLICY DETECTED: $bucket"
fi
done
# Use AWS Config to find non-compliant buckets
aws configservice get-compliance-details-by-config-rule \
--config-rule-name s3-bucket-public-read-prohibited \
--compliance-types NON_COMPLIANT \
--query 'EvaluationResults[*].EvaluationResultIdentifier.EvaluationResultQualifier.ResourceId'
What ships with it
3 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.
- 1mo ago First seen · 320 lines · 77 tokens per session scan A 746c501fe834
remediating-s3-bucket-misconfiguration is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (87 stars, last pushed 4d ago), licensed MIT. It adds 77 tokens to every session and 2,888 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to remediating-s3-bucket-misconfiguration, differing in 27 lines, and is treated as a copy.
Other skills, from other repositories
remediating-s3-bucket-misconfiguration
This skill provides step-by-step procedures for identifying and remediating Amazon S3 bucket misconfigurations that expose sensitive data to unauthorized access. It covers enabling S3 Block Public Access at account and bucket levels, auditing bucket policies and ACLs, enforcing encryption, configuring access logging…
remediating-s3-bucket-misconfiguration
This skill provides step-by-step procedures for identifying and remediating Amazon S3 bucket misconfigurations that expose sensitive data to unauthorized access. It covers enabling S3 Block Public Access at account and bucket levels, auditing bucket policies and ACLs, enforcing encryption, configuring access logging…
linkerd-patterns
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
cost-optimization
Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
dokploy-deploy
This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".
vertex-deploy
Skill "vertex-deploy" from GoogleCloudPlatform/vertex-ai-samples, covering vertex ai model garden deploy skill, 1. prerequisites, 2. discovering deployable models, 3. deploying a model and example: deploying gemma 3.