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Get Started Free →OSINT-based technology stack identification. Routes to 6 domain sub-skills (frontend, backend, infra, security, osint, correlation) to discover a target's stack from publicly available signals.
.claude/skills/transilienceai-techstack-identification/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 88% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-16 | ✗→✓ | ▲ Improved | -30% | 0% |
Passive OSINT reconnaissance to identify a target's technology stack. No credentials, no active scanning — only publicly available signals.
1. Provide company name (+ optional domain hint)
2. Run infra first (asset inventory) → frontend / backend / security / osint in parallel
3. Pass all signals into correlation → final report (JSON + Markdown)| Sub-skill | Identifies | Read | |-----------|-----------|------| | frontend | JS frameworks, meta-frameworks, CSS libraries, build tools, CMS via DOM/HTML/JS | frontend/SKILL.md | | backend | Web servers, runtimes, languages, frameworks, DB, APIs, CMS | backend/SKILL.md | | infra | Cloud, CDN/WAF, DNS, TLS/CT, DevOps, asset discovery (domains/subdomains/IPs) | infra/SKILL.md | | security | Security headers, CSP, email auth, security.txt, third-party SaaS | security/SKILL.md | | osint | Public repos (GitHub/GitLab), job postings/ATS, Wayback Machine | osint/SKILL.md | | correlation | Cross-validation, confidence scoring, conflict resolution | correlation/SKILL.md |
| Objective | Mount | |-----------|-------| | Full stack discovery | infra → (frontend, backend, security, osint) → correlation | | CDN/WAF identification only | infra | | API surface mapping | backend | | Supply-chain / SaaS exposure | security + osint | | CVE matching by version | backend + frontend (then correlation) | | Migration / historical context | osint (web archive) + correlation | | CMS fingerprint | frontend (HTML generators) + backend (CMS paths/cookies) | | Asset inventory only | infra (domain discovery, subdomain enum, IP attribution, CT) |
Computed in correlation/. Target distribution: 50-70% High, 20-35% Medium, <15% Low.
json{ "report_id": "uuid", "company": "string", "primary_domain": "string", "discovered_assets": {"domains", "subdomains", "ip_addresses", "certificates", "api_portals"}, "technologies": { "frontend": [{"name", "version?", "confidence", "evidence": []}], "backend": [...], "infrastructure": [...], "security": [...], "devops": [...], "third_party": [...] }, "confidence_summary": {"high_confidence", "medium_confidence", "low_confidence", "overall_score"} }
crt.sh 10/min · GitHub (unauth) 60/h · HTTP 30/min/domain · DNS 30/min · Wayback CDX 15/min · WHOIS 5/min.
Passive only. No active scanning, credentialed access, zone transfers, or brute force. Public sources only. Log every external request for audit.
Other measured skills in the registry, with their headline benchmark lift.