techstack-identification
OSINT-based technology stack identification.
Skill by transilienceai
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: frontend, backend, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/techstack-identification
What's inside
- Skill name
techstack-identification- Description
- 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.
- License
- MIT
- Instructions
- 65 lines in SKILL.md · view on GitHub
Files (13)
- SKILL.md
- SKILL.md · backend/
- patterns.md · backend/reference/
- SKILL.md · correlation/
- patterns.md · correlation/reference/
- SKILL.md · frontend/
- patterns.md · frontend/reference/
- SKILL.md · infra/
- patterns.md · infra/reference/
- SKILL.md · osint/
- patterns.md · osint/reference/
- SKILL.md · security/
- patterns.md · security/reference/
SKILL.md (first lines)
# 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. Run infra first (asset inventory) → frontend / backend / security / osint in parallel
3. Pass all signals into correlation → final report (JSON + Markdown)
```
## Domain Sub-Skills
| Sub-skill | Identifies | Read |
|-----------|-----------|------|
| **frontend** | JS frameworks, meta-frameworks, CSS libraries, build tools, CMS via DOM/HTML/JS | [frontend/SKILL.md](frontend/SKILL.md) |
| **backend** | Web servers, runtimes, languages, frameworks, DB, APIs, CMS | [backend/SKILL.md](backend/SKILL.md) |
| **infra** | Cloud, CDN/WAF, DNS, TLS/CT, DevOps, asset discovery (domains/subdomains/IPs) | [infra/SKILL.md](infra/SKILL.md) |
| **security** | Security headers, CSP, email auth, security.txt, third-party SaaS | [security/SKILL.md](security/SKILL.md) |
| **osint** | Public repos (GitHub/GitLab), job postings/ATS, Wayback Machine | [osint/SKILL.md](osint/SKILL.md) |
| **correlation** | Cross-validation, confidence scoring, conflict resolution | [correlation/SKILL.md](correlation/SKILL.md) |
## Routing by Objective
| 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) |
## Confidence Levels
- **High**: 3+ independent sources OR explicit identifier (header/meta/global) + supporting evidence + version known
- **Medium**: Single strong source OR multiple indirect signals (URL patterns, cookies, DOM attrs, job postings)
- **Low**: Speculative — single weak signal, conflicting data, or archive-only evidence
Computed in `correlation/`. Target distribution: 50-70% High, 20-35% Medium, <15% Low.
## Final Report Schema
```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"} }
```
## Rate Limits
crt.sh 10/min · GitHub (unauth) 60/h · HTTP 30/min/domain · DNS 30/min · Wayback CDX 15/min · WHOIS 5/min.
## Ethics
Passive only. No active scanning, credentialed access, zone transfers, or brute force. Public sources only. Log every external request for audit.From transilienceai/communitytools, MIT.
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Signals
- Stars
- 591
- Forks
- 83
- Open issues
- 10
- Last commit (this folder)
- May 11, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/transilienceai/communitytools
- Website
- www.transilience.ai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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techstack-identification skill. Agent Mart. https://agentmart.dev/skills/transilienceai-techstack-identification (last updated 2026-10-24)