Defender For Cloud Hardening
vinayaklatthe/microsoft-security-skills
Guidance for Microsoft Defender for Cloud — cloud security posture management (CSPM) and cloud workload protection (CWPP) across Azure, AWS, and GCP.
Agent skill
Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-compromised-cloud-credentials -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-compromised-cloud-credentials --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/detecting-compromised-cloud-credentials .claude/skills/detecting-compromised-cloud-credentials && 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 "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .claude/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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/detecting-compromised-cloud-credentialsType 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 detecting-compromised-cloud-credentials -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-compromised-cloud-credentials --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/detecting-compromised-cloud-credentials .agents/skills/detecting-compromised-cloud-credentials && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .agents/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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 detecting-compromised-cloud-credentials -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-compromised-cloud-credentials --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/detecting-compromised-cloud-credentials .cursor/skills/detecting-compromised-cloud-credentials && 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 "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .cursor/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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/detecting-compromised-cloud-credentials--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 detecting-compromised-cloud-credentials -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-compromised-cloud-credentials --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/detecting-compromised-cloud-credentials .gemini/skills/detecting-compromised-cloud-credentials && 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 "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .gemini/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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 detecting-compromised-cloud-credentialsInstalls 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 detecting-compromised-cloud-credentials -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/detecting-compromised-cloud-credentials .github/skills/detecting-compromised-cloud-credentials && 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 "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .github/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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 detecting-compromised-cloud-credentials -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 detecting-compromised-cloud-credentials --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/detecting-compromised-cloud-credentials .opencode/skills/detecting-compromised-cloud-credentials && 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 "detecting-compromised-cloud-credentials" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-compromised-cloud-credentials into .opencode/skills/detecting-compromised-cloud-credentials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-compromised-cloud-credentials", 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.
detecting-compromised-cloud-credentialsDetect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft…
Detecting Compromised Cloud Credentials is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft Defender for Identity, and Google SCC Event Threat Detection. Use when investigating alerts about cloud API activity from unfamiliar locations, responding to an exposed-credential notification, or scoping a credential compromise.
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in DevOps & Cloud, covering Secrets management. It works with Google Cloud, Microsoft Azure, Amazon Web Services and Microsoft Defender. 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.
5 steps, taken from the step headings in SKILL.md.
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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
awsazgcloudFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
graph.microsoft.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.
Detecting Compromised Cloud Credentials loads about 3.9k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 628 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). 628 words, ~3,888 tokens.
.claude/skills/detecting-compromised-cloud-credentials/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Do not use for preventing credential compromise (use MFA, credential rotation, and secrets management), for detecting application-level credential theft (use application security monitoring), or for endpoint credential harvesting detection (use EDR tools).
Monitor GuardDuty findings and CloudTrail anomalies that indicate credential abuse.
# List GuardDuty credential-related findings
aws guardduty list-findings \
--detector-id $(aws guardduty list-detectors --query 'DetectorIds[0]' --output text) \
--finding-criteria '{
"Criterion": {
"type": {
"Eq": [
"UnauthorizedAccess:IAMUser/InstanceCredentialExfiltration.OutsideAWS",
"UnauthorizedAccess:IAMUser/MaliciousIPCaller",
"UnauthorizedAccess:IAMUser/MaliciousIPCaller.Custom",
"UnauthorizedAccess:IAMUser/TorIPCaller",
"UnauthorizedAccess:IAMUser/ConsoleLoginSuccess.B",
"Recon:IAMUser/MaliciousIPCaller",
"Recon:IAMUser/MaliciousIPCaller.Custom",
"InitialAccess:IAMUser/AnomalousBehavior",
"CredentialAccess:IAMUser/AnomalousBehavior",
"Persistence:IAMUser/AnomalousBehavior"
]
},
"service.archived": {"Eq": ["false"]}
}
}' --output json
# Check for console logins from new locations
aws logs start-query \
--log-group-name cloudtrail-logs \
--start-time $(date -d "7 days ago" +%s) \
--end-time $(date +%s) \
--query-string '
fields @timestamp, userIdentity.userName, sourceIPAddress, responseElements.ConsoleLogin
| filter eventName = "ConsoleLogin"
| filter responseElements.ConsoleLogin = "Success"
| stats count() by userIdentity.userName, sourceIPAddress
| sort count desc
'
# Detect impossible travel (same user from geographically distant IPs within short time)
aws logs start-query \
--log-group-name cloudtrail-logs \
--start-time $(date -d "24 hours ago" +%s) \
--end-time $(date +%s) \
--query-string '
fields @timestamp, userIdentity.arn, sourceIPAddress, eventName
| filter userIdentity.type = "IAMUser"
| stats earliest(@timestamp) as first_seen, latest(@timestamp) as last_seen,
count_distinct(sourceIPAddress) as unique_ips by userIdentity.arn
| filter unique_ips > 3
'Monitor Entra ID sign-in logs and Defender for Identity alerts for compromised credentials.
# Check for risky sign-ins
az rest --method GET \
--url "https://graph.microsoft.com/v1.0/auditLogs/signIns?\$filter=riskLevelDuringSignIn ne 'none' and createdDateTime ge 2026-02-16T00:00:00Z&\$top=50" \
--query "value[*].{User:userPrincipalName,Risk:riskLevelDuringSignIn,IP:ipAddress,Location:location.city,App:appDisplayName,Status:status.errorCode}" \
-o table
# Check for sign-ins from anonymous or Tor IPs
az rest --method GET \
--url "https://graph.microsoft.com/v1.0/auditLogs/signIns?\$filter=riskEventTypes_v2/any(r:r eq 'anonymizedIPAddress') and createdDateTime ge 2026-02-22T00:00:00Z" \
--query "value[*].{User:userPrincipalName,IP:ipAddress,Location:location.city}" \
-o table
# List users flagged as compromised by Identity Protection
az rest --method GET \
--url "https://graph.microsoft.com/v1.0/identityProtection/riskyUsers?\$filter=riskLevel eq 'high'" \
--query "value[*].{User:userPrincipalName,RiskLevel:riskLevel,RiskState:riskState,LastDetected:riskLastUpdatedDateTime}" \
-o table
# Check for suspicious application consent grants
az rest --method GET \
--url "https://graph.microsoft.com/v1.0/auditLogs/directoryAudits?\$filter=activityDisplayName eq 'Consent to application' and activityDateTime ge 2026-02-16T00:00:00Z" \
--query "value[*].{Activity:activityDisplayName,User:initiatedBy.user.userPrincipalName,App:targetResources[0].displayName}" \
-o tableQuery GCP audit logs and SCC findings for credential compromise indicators.
# Check SCC Event Threat Detection findings
gcloud scc findings list ORG_ID \
--filter="state=\"ACTIVE\" AND (category=\"ANOMALOUS_CALLER_LOCATION\" OR category=\"SUSPICIOUS_LOGIN\" OR category=\"CREDENTIAL_ACCESS\")" \
--format="table(finding.category, finding.severity, finding.resourceName, finding.eventTime)"
# Query audit logs for service account key usage from unusual IPs
gcloud logging read '
protoPayload.authenticationInfo.principalEmail:*@*.iam.gserviceaccount.com
AND protoPayload.requestMetadata.callerIp!=("10." OR "172." OR "192.168.")
AND timestamp>="2026-02-22T00:00:00Z"
' --limit=100 --format="table(timestamp, protoPayload.authenticationInfo.principalEmail, protoPayload.requestMetadata.callerIp, protoPayload.methodName)"
# Detect API calls from Tor exit nodes
gcloud logging read '
protoPayload.requestMetadata.callerIp:("185." OR "198." OR "45.")
AND protoPayload.authenticationInfo.principalEmail:*@company.com
AND timestamp>="2026-02-22T00:00:00Z"
' --limit=50 --format=json
# Check for new service account keys created (persistence indicator)
gcloud logging read '
protoPayload.methodName="google.iam.admin.v1.CreateServiceAccountKey"
AND timestamp>="2026-02-16T00:00:00Z"
' --format="table(timestamp, protoPayload.authenticationInfo.principalEmail, protoPayload.request.name)"Create SIEM rules that correlate credential abuse indicators across cloud providers.
# siem_correlation.py - Cross-cloud credential abuse detection
import json
from datetime import datetime, timedelta
def detect_impossible_travel(events):
"""Detect same identity used from distant locations in short timeframe."""
user_events = {}
for event in events:
user = event.get('principal', '')
ip = event.get('source_ip', '')
ts = event.get('timestamp', '')
cloud = event.get('cloud_provider', '')
key = f"{user}_{cloud}"
if key not in user_events:
user_events[key] = []
user_events[key].append({'ip': ip, 'timestamp': ts, 'cloud': cloud})
alerts = []
for user_key, accesses in user_events.items():
accesses.sort(key=lambda x: x['timestamp'])
for i in range(1, len(accesses)):
time_diff = (datetime.fromisoformat(accesses[i]['timestamp']) -
datetime.fromisoformat(accesses[i-1]['timestamp']))
if time_diff < timedelta(hours=1) and accesses[i]['ip'] != accesses[i-1]['ip']:
alerts.append({
'type': 'IMPOSSIBLE_TRAVEL',
'user': user_key,
'ip_1': accesses[i-1]['ip'],
'ip_2': accesses[i]['ip'],
'time_gap_minutes': time_diff.total_seconds() / 60,
'severity': 'HIGH'
})
return alerts
def detect_credential_stuffing(events, threshold=10):
"""Detect multiple failed logins followed by success."""
user_attempts = {}
for event in events:
user = event.get('principal', '')
success = event.get('success', False)
key = user
if key not in user_attempts:
user_attempts[key] = {'failures': 0, 'success_after_failures': False}
if not success:
user_attempts[key]['failures'] += 1
elif user_attempts[key]['failures'] >= threshold:
user_attempts[key]['success_after_failures'] = True
return [{'user': u, 'failures': d['failures'], 'severity': 'CRITICAL'}
for u, d in user_attempts.items() if d['success_after_failures']]Execute containment actions when credential compromise is confirmed.
# AWS: Deactivate access key immediately
aws iam update-access-key --user-name COMPROMISED_USER \
--access-key-id AKIA_COMPROMISED --status Inactive
# AWS: Invalidate temporary role credentials by updating role trust policy
aws iam update-assume-role-policy --role-name COMPROMISED_ROLE \
--policy-document '{"Version":"2012-10-17","Statement":[{"Effect":"Deny","Principal":"*","Action":"sts:AssumeRole"}]}'
# AWS: Revoke all sessions for an IAM user
aws iam put-user-policy --user-name COMPROMISED_USER \
--policy-name RevokeOldSessions \
--policy-document '{
"Version":"2012-10-17",
"Statement":[{
"Effect":"Deny",
"Action":"*",
"Resource":"*",
"Condition":{"DateLessThan":{"aws:TokenIssueTime":"2026-02-23T10:00:00Z"}}
}]
}'
# Azure: Revoke all sign-in sessions
az rest --method POST \
--url "https://graph.microsoft.com/v1.0/users/COMPROMISED_USER_ID/revokeSignInSessions"
# Azure: Force password reset
az ad user update --id COMPROMISED_USER_ID --force-change-password-next-sign-in true
# GCP: Disable service account
gcloud iam service-accounts disable COMPROMISED_SA_EMAIL
# GCP: Delete service account keys
gcloud iam service-accounts keys delete KEY_ID --iam-account=COMPROMISED_SA_EMAIL| Term | Definition |
|---|---|
| Impossible Travel | Detection of the same credential being used from geographically distant locations within a time period that makes physical travel impossible |
| Credential Stuffing | Attack using stolen username/password combinations from data breaches to attempt login across multiple cloud services |
| Instance Credential Exfiltration | GuardDuty finding indicating EC2 instance role credentials are being used from outside the expected AWS network |
| Anomalous Behavior | Machine learning-based detection of API call patterns that deviate significantly from the established baseline for a principal |
| Session Revocation | Invalidating all active authentication sessions for a compromised principal to force re-authentication with new credentials |
| Persistence Indicator | Attacker actions designed to maintain access after initial compromise, such as creating new access keys or service account keys |
Context: A developer receives a phishing email that harvests their AWS console credentials. The attacker logs in from a foreign IP, creates a new access key, and begins enumerating the account.
Approach:
UnauthorizedAccess:IAMUser/ConsoleLoginSuccess.B for login from unusual countryPitfalls: Simply changing the password does not invalidate existing access keys or active sessions. All access keys must be rotated and temporary credentials revoked by adding a deny-all policy for tokens issued before the compromise was detected. Attackers may create new IAM users or roles for persistence before the initial credential is revoked.
Cloud Credential Compromise Detection Report
===============================================
Detection Date: 2026-02-23
Scope: Multi-cloud (AWS, Azure, GCP)
Period: 2026-02-16 to 2026-02-23
ACTIVE COMPROMISE INDICATORS:
[CRED-001] AWS Console Login from Unusual Location
User: developer@company.com
Source IP: 185.x.x.x (Russia)
Normal Location: US-East
GuardDuty Finding: UnauthorizedAccess:IAMUser/ConsoleLoginSuccess.B
Severity: HIGH
Status: Credential deactivated
[CRED-002] Azure Impossible Travel Detection
User: admin@company.onmicrosoft.com
Location 1: New York, US (09:00 UTC)
Location 2: Beijing, CN (09:15 UTC)
Risk Level: HIGH
Status: Sessions revoked, under investigation
DETECTION METRICS (Last 7 Days):
Impossible travel detections: 5
Anomalous API activity alerts: 12
Failed login attempts > threshold: 3
New credentials from unusual IPs: 2
Total compromises confirmed: 2
CONTAINMENT ACTIONS TAKEN:
AWS access keys deactivated: 3
Azure sessions revoked: 2
GCP service accounts disabled: 1
Passwords force-reset: 4
MFA re-enrolled: 4© 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 3 other files (scripts, references) in skills/detecting-compromised-cloud-credentials of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Detecting Compromised Cloud Credentials 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 |
|---|---|---|---|---|---|---|
| Detecting Compromised Cloud Credentials this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Defender For Cloud Hardeningvinayaklatthe/microsoft-security-skills | 175 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Azure Arcvinayaklatthe/microsoft-security-skills | 175 | — | ~1.9k | Automated safety check: Pass | MIT | |
| CD Pipeline GeneratorArabelaTso/Skills-4-SE | 253 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Misconfig Auditorcriptogus/agent-evolve-network | 288 | — | ~965 | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Operate Cloud Posture Toolchaincyberful/cyberful | 135 | — | ~907 | Automated safety check: Pass | AGPL-3.0 |
vinayaklatthe/microsoft-security-skills
Guidance for Microsoft Defender for Cloud — cloud security posture management (CSPM) and cloud workload protection (CWPP) across Azure, AWS, and GCP.
vinayaklatthe/microsoft-security-skills
Guidance for Azure Arc — projecting on-premises, multicloud (AWS/GCP), and edge servers, Kubernetes, and data services into Azure Resource Manager for unified governance, security, and management.
ArabelaTso/Skills-4-SE
Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).
criptogus/agent-evolve-network
Audits AWS, GCP and Azure environments (and matching IaC) for excessive permissions, public exposure, weak encryption defaults and missing logging.
cyberful/cyberful
Operate Prowler, Cloudsplaining, cloud CLIs, policy documents, and resource evidence for advanced AWS, Azure, GCP, and Kubernetes-adjacent posture assessment.
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft…. Detecting Compromised Cloud Credentials is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft Defender for Identity, and Google SCC Event Threat Detection.
Detecting Compromised Cloud Credentials fits situations like: investigating alerts about cloud API activity from unfamiliar locations; responding to an exposed-credential notification; scoping a credential compromise.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-compromised-cloud-credentials -a claude-code`. Or copy the skill folder (skills/detecting-compromised-cloud-credentials in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-compromised-cloud-credentials in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-compromised-cloud-credentials -a codex`. Or copy the skill folder (skills/detecting-compromised-cloud-credentials in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-compromised-cloud-credentials 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 detecting-compromised-cloud-credentials -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-compromised-cloud-credentials, .gemini/skills/detecting-compromised-cloud-credentials, .github/skills/detecting-compromised-cloud-credentials and .opencode/skills/detecting-compromised-cloud-credentials in your project.
Going by SKILL.md and its folder, Detecting Compromised Cloud Credentials needs Python for the scripts in its folder and the command-line tools its instructions call (aws, az and gcloud). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: graph.microsoft.com; the agent is likely to contact it when it follows the instructions. 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.
Detecting Compromised Cloud Credentials 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 3.9k tokens (SKILL.md is roughly 16k 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 631 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Detecting Compromised Cloud Credentials: Defender For Cloud Hardening (vinayaklatthe/microsoft-security-skills, 175 stars), Azure Arc (vinayaklatthe/microsoft-security-skills, 175 stars), CD Pipeline Generator (ArabelaTso/Skills-4-SE, 253 stars) and Cloud Misconfig Auditor (criptogus/agent-evolve-network, 288 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.