Agent skill
techstack-identification
OSINT-based technology stack identification. Discovers company tech stacks using passive reconnaissance across 17 intelligence domains. Given a company name (and optional domain hint), infers frontend, backend, infrastructure, and security technologies using publicly available signals.
Install this agent skill to your Project
npx add-skill https://github.com/transilienceai/communitytools/tree/main/projects/pentest/.claude/skills/techstack-identification
SKILL.md
Tech Stack Identification
Passive OSINT reconnaissance to identify a target's technology stack. No credentials, no active scanning — only publicly available signals.
Quick Start
1. Provide company name (+ optional domain hint)
2. 5 orchestrating agents run 26 sub-skills across 17 intelligence domains
3. Signals correlated, confidence scored, conflicts resolved
4. Final report: JSON + Markdown with evidence for every inference
Orchestration (5 Agents → 26 Sub-Skills)
Phase 1: Asset Discovery (asset_discovery_agent)
- domain_discovery, subdomain_enumeration, certificate_transparency, ip_attribution, api_portal_discovery
Phase 2: Data Collection (data_collection_agent)
- http_fingerprinting, dns_intelligence, tls_certificate_analysis, javascript_dom_analysis, html_content_analysis, code_repository_intel, job_posting_analysis, web_archive_analysis
Phase 3: Tech Inference (tech_inference_agent)
- frontend_inferencer, backend_inferencer, cloud_infra_detector, cdn_waf_fingerprinter, security_posture_analyzer, devops_detector, third_party_detector
Phase 4: Correlation (correlation_agent)
- signal_correlator, confidence_scorer, conflict_resolver
Phase 5: Report (report_generation_agent)
- json_report_generator, evidence_formatter, report_exporter
Phases run sequentially. Sub-skills within each phase run in parallel.
Confidence Levels
- High: Multiple independent sources + explicit identifier (headers, meta tags, cookies)
- Medium: Single strong source OR indirect signals (URL patterns, error messages, job postings)
- Low: Speculative from indirect signals, conflicting data, or outdated evidence
Output: TechStackReport
{
"report_id": "uuid",
"company": "string",
"primary_domain": "string",
"discovered_assets": { "domains", "subdomains", "ip_addresses", "certificates", "api_portals" },
"technologies": {
"frontend": [{ "name", "version?", "confidence": "High|Medium|Low", "evidence": [...] }],
"backend": [...],
"infrastructure": [...],
"security": [...],
"devops": [...],
"third_party": [...]
},
"confidence_summary": { "high_confidence", "medium_confidence", "low_confidence", "overall_score" }
}
Rate Limits
| Service | Limit |
|---|---|
| crt.sh | 10 req/min |
| GitHub API (unauth) | 60 req/hr |
| General HTTP | 30 req/min |
| DNS queries | 30 req/min |
Integration
Called by pentest orchestrator as a recon step, by CVE testing to map technologies to CVEs, or standalone for due diligence and competitive analysis.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
conflict_resolver
web-archive-analysis
Uses Wayback Machine to detect technology migrations over time
evidence_formatter
signal_correlator
dns-intelligence
Extracts technology signals from DNS records (MX, TXT, NS, CNAME, SRV)
third-party-detector
Identifies third-party services including payments, analytics, auth, CRM, and support
Didn't find tool you were looking for?