seikaikyo/detecting-supply-chain-attacks-in-ci-cd
external/anthropic-cybersecurity-skills/skills/detecting-supply-chain-attacks-in-ci-cd/SKILL.md
Scans GitHub Actions workflows and CI/CD pipeline configurations for supply chain attack vectors including unpinned actions, script injection via expressions, dependency confusion, and secrets exposure. Uses PyGithub and YAML parsing for automated audit. Use when hardening CI/CD pipelines or investigating compromised build systems.
$ install --global
skillsauthnpx skillsauth add seikaikyo/dash-skills detecting-supply-chain-attacks-in-ci-cdInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Aug 9, 2026, 3:38 AM280.1s3 files scanned
SKILL.md
- name:
- detecting-supply-chain-attacks-in-ci-cd
- description:
- Scans GitHub Actions workflows and CI/CD pipeline configurations for
- domain:
- cybersecurity
- subdomain:
- security-operations
- version:
- 1.0
- author:
- mahipal
- license:
- Apache-2.0
Detecting Supply Chain Attacks in CI/CD
When to Use
- When investigating security incidents that require detecting supply chain attacks in ci cd
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
Scan CI/CD workflow files for supply chain risks by parsing GitHub Actions YAML, checking for unpinned dependencies, script injection vectors, and secrets exposure.
import yaml
from pathlib import Path
for wf in Path(".github/workflows").glob("*.yml"):
with open(wf) as f:
workflow = yaml.safe_load(f)
for job_name, job in workflow.get("jobs", {}).items():
for step in job.get("steps", []):
uses = step.get("uses", "")
if uses and "@" in uses and not uses.split("@")[1].startswith("sha"):
print(f"Unpinned action: {uses} in {wf.name}")
Key supply chain risks:
- Unpinned GitHub Actions (using @main instead of SHA)
- Script injection via ${{ github.event }} expressions
- Overly permissive GITHUB_TOKEN permissions
- Third-party actions with write access to repo
- Dependency confusion via public/private package name collision
Examples
# Check for script injection in run steps
for step in job.get("steps", []):
run_cmd = step.get("run", "")
if "${{" in run_cmd and "github.event" in run_cmd:
print(f"Script injection risk: {run_cmd[:80]}")
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