AWS Advisor
diegosouzapw/awesome-omni-skills
AWS Advisor workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.
Agent skill
Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classification --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/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .claude/skills/implementing-aws-macie-for-data-classification && 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 "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .claude/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classificationType 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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classification --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .agents/skills/implementing-aws-macie-for-data-classification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .agents/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classification --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .cursor/skills/implementing-aws-macie-for-data-classification && 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 "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .cursor/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/implementing-aws-macie-for-data-classification--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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classification --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .gemini/skills/implementing-aws-macie-for-data-classification && 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 "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .gemini/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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 mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classificationInstalls 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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .github/skills/implementing-aws-macie-for-data-classification && 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 "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .github/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-aws-macie-for-data-classification --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/implementing-aws-macie-for-data-classification .opencode/skills/implementing-aws-macie-for-data-classification && 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 "implementing-aws-macie-for-data-classification" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-aws-macie-for-data-classification into .opencode/skills/implementing-aws-macie-for-data-classification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-aws-macie-for-data-classification", 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.
implementing-aws-macie-for-data-classificationEnable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery…
Implementing AWS Macie For Data Classification is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery jobs, custom data identifiers, allow lists, and EventBridge-based remediation. Use when setting up S3 data classification, cloud DLP, or auditing S3 for unprotected sensitive data.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in DevOps & Cloud, covering File uploads and storage and Infrastructure as code. It works with Amazon Web Services and Terraform. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 54a7988. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
awsFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comFrom 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.
Implementing AWS Macie For Data Classification loads about 2.1k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 309 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 no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 309 words, ~2,138 tokens.
.claude/skills/implementing-aws-macie-for-data-classification/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Amazon Macie is a fully managed data security and privacy service that uses machine learning and pattern matching to discover and protect sensitive data in Amazon S3. Macie automatically evaluates your S3 bucket inventory on a daily basis and identifies objects containing PII, financial information, credentials, and other sensitive data types. It provides two discovery approaches: automated sensitive data discovery for broad visibility and targeted discovery jobs for deep analysis.
# Enable Macie in the current account/region
aws macie2 enable-macie
# Verify Macie is enabled
aws macie2 get-macie-session
# Enable automated sensitive data discovery
aws macie2 update-automated-discovery-configuration \
--status ENABLEDresource "aws_macie2_account" "main" {}
resource "aws_macie2_classification_export_configuration" "main" {
depends_on = [aws_macie2_account.main]
s3_destination {
bucket_name = aws_s3_bucket.macie_results.id
key_prefix = "macie-findings/"
kms_key_arn = aws_kms_key.macie.arn
}
}aws macie2 create-classification-job \
--job-type ONE_TIME \
--name "pii-scan-production-buckets" \
--s3-job-definition '{
"bucketDefinitions": [{
"accountId": "123456789012",
"buckets": [
"production-data-bucket",
"customer-records-bucket"
]
}]
}' \
--managed-data-identifier-selector ALLaws macie2 create-classification-job \
--job-type SCHEDULED \
--name "weekly-sensitive-data-scan" \
--schedule-frequency-details '{
"weekly": {
"dayOfWeek": "MONDAY"
}
}' \
--s3-job-definition '{
"bucketDefinitions": [{
"accountId": "123456789012",
"buckets": ["all-data-bucket"]
}],
"scoping": {
"includes": {
"and": [{
"simpleScopeTerm": {
"comparator": "STARTS_WITH",
"key": "OBJECT_KEY",
"values": ["uploads/", "documents/"]
}
}]
}
}
}'aws macie2 create-custom-data-identifier \
--name "internal-employee-id" \
--description "Matches internal employee ID format EMP-XXXXXX" \
--regex "EMP-[0-9]{6}" \
--severity-levels '[
{"occurrencesThreshold": 1, "severity": "LOW"},
{"occurrencesThreshold": 10, "severity": "MEDIUM"},
{"occurrencesThreshold": 50, "severity": "HIGH"}
]'aws macie2 create-custom-data-identifier \
--name "project-code-identifier" \
--description "Matches project codes in format PRJ-XXXX-XX" \
--regex "PRJ-[A-Z]{4}-[0-9]{2}" \
--keywords '["project", "code", "initiative"]' \
--maximum-match-distance 50aws macie2 create-allow-list \
--name "test-data-exclusions" \
--description "Exclude known test data patterns" \
--criteria '{
"regex": "TEST-[0-9]{4}-[0-9]{4}-[0-9]{4}-[0-9]{4}"
}'Macie provides 300+ managed data identifiers covering:
| Category | Examples |
|---|---|
| PII | SSN, passport numbers, driver's license, date of birth, names, addresses |
| Financial | Credit card numbers, bank account numbers, SWIFT codes |
| Credentials | AWS secret keys, API keys, SSH private keys, OAuth tokens |
| Health | HIPAA identifiers, health insurance claim numbers |
| Legal | Tax identification numbers, national ID numbers |
# Get sensitive data findings
aws macie2 list-findings \
--finding-criteria '{
"criterion": {
"severity.description": {
"eq": ["High"]
},
"category": {
"eq": ["CLASSIFICATION"]
}
}
}' \
--sort-criteria '{"attributeName": "updatedAt", "orderBy": "DESC"}' \
--max-results 25aws macie2 get-findings \
--finding-ids '["finding-id-1", "finding-id-2"]'# Macie automatically publishes findings to Security Hub
# Verify integration:
aws macie2 get-macie-session --query 'findingPublishingFrequency'{
"source": ["aws.macie"],
"detail-type": ["Macie Finding"],
"detail": {
"severity": {
"description": ["High", "Critical"]
}
}
}import boto3
import json
s3 = boto3.client('s3')
sns = boto3.client('sns')
def lambda_handler(event, context):
finding = event['detail']
severity = finding['severity']['description']
bucket = finding['resourcesAffected']['s3Bucket']['name']
key = finding['resourcesAffected']['s3Object']['key']
sensitive_types = [d['type'] for d in finding.get('classificationDetails', {}).get('result', {}).get('sensitiveData', [])]
if severity in ['High', 'Critical']:
# Tag the object for review
s3.put_object_tagging(
Bucket=bucket,
Key=key,
Tagging={
'TagSet': [
{'Key': 'macie-finding', 'Value': severity},
{'Key': 'sensitive-data', 'Value': ','.join(sensitive_types)},
{'Key': 'requires-review', 'Value': 'true'}
]
}
)
# Notify security team
sns.publish(
TopicArn='arn:aws:sns:us-east-1:123456789012:security-alerts',
Subject=f'Macie {severity} Finding: {bucket}/{key}',
Message=json.dumps({
'bucket': bucket,
'key': key,
'severity': severity,
'sensitive_data_types': sensitive_types,
'finding_id': finding['id']
}, indent=2)
)
return {'statusCode': 200}# From the management account
aws macie2 enable-organization-admin-account \
--admin-account-id 111111111111# From the administrator account
aws macie2 create-member \
--account '{"accountId": "222222222222", "email": "security@example.com"}'aws macie2 get-usage-statistics \
--filter-by '[{"comparator": "GT", "key": "accountId", "values": []}]' \
--sort-by '{"key": "accountId", "orderBy": "ASC"}'aws macie2 list-classification-jobs \
--filter-criteria '{"includes": [{"comparator": "EQ", "key": "jobStatus", "values": ["RUNNING"]}]}'© mukul975, 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
SKILL.md and 7 other files (scripts, references, assets) in skills/implementing-aws-macie-for-data-classification of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Implementing AWS Macie For Data Classification 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 |
|---|---|---|---|---|---|---|
| Implementing AWS Macie For Data Classification this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| AWS Advisordiegosouzapw/awesome-omni-skills | 159 | — | ~4.3k | Automated safety check: Pass | MIT | |
| AWS Cloud Patternsrohitg00/awesome-claude-code-toolkit | 2.7k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Msk Operationsaws/tools-for-devops-agent | 100 | — | ~6.6k | Automated safety check: Pass | Apache-2.0 | |
| AWS Iamaws/agent-toolkit-for-aws | 2.8k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| AWS Solution Architectborghei/Claude-Skills | 881 | — | ~1.8k | Automated safety check: Pass | MIT |
diegosouzapw/awesome-omni-skills
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mukul975/Anthropic-Cybersecurity-Skills
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mukul975/Anthropic-Cybersecurity-Skills
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mukul975/Anthropic-Cybersecurity-Skills
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mukul975/Anthropic-Cybersecurity-Skills
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Works with
Categories
Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery…. Implementing AWS Macie For Data Classification is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery jobs, custom data identifiers, allow lists, and EventBridge-based remediation.
Implementing AWS Macie For Data Classification fits situations like: setting up S3 data classification; auditing S3 for unprotected sensitive data.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a claude-code`. Or copy the skill folder (skills/implementing-aws-macie-for-data-classification in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-aws-macie-for-data-classification in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a codex`. Or copy the skill folder (skills/implementing-aws-macie-for-data-classification in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-aws-macie-for-data-classification 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 mukul975/Anthropic-Cybersecurity-Skills --skill implementing-aws-macie-for-data-classification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-aws-macie-for-data-classification, .gemini/skills/implementing-aws-macie-for-data-classification, .github/skills/implementing-aws-macie-for-data-classification and .opencode/skills/implementing-aws-macie-for-data-classification in your project.
Going by SKILL.md and its folder, Implementing AWS Macie For Data Classification needs Python for the scripts in its folder and the command-line tools its instructions call (aws). Our summary lists: Python 3; A credential in OBJECT_KEY.
SKILL.md names 1 domain. As links in the text: docs.aws.amazon.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Implementing AWS Macie For Data Classification is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 882 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Implementing AWS Macie For Data Classification: AWS Advisor (diegosouzapw/awesome-omni-skills, 159 stars), AWS Cloud Patterns (rohitg00/awesome-claude-code-toolkit, 2.7k stars), Msk Operations (aws/tools-for-devops-agent, 100 stars) and AWS Iam (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.