Agent skill

Techstack Identification

by transilienceai in transilienceai/communitytools

OSINT-based technology stack identification. An agent skill from transilienceai/communitytools.

MITAuto-check passedSecurity

Install Techstack Identification

skills CLI
$ npx skills add transilienceai/communitytools --skill techstack-identification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install transilienceai/communitytools techstack-identification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/transilienceai/communitytools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/techstack-identification .claude/skills/techstack-identification && rm -rf skills-src

Use ~/.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/

Facts

Skill name
techstack-identification
GitHub stars
562
Token cost
~826 tokens
SKILL.md length
238 words
Files
1
Skills in repo
35
Repo updated
First seen
Licence
MIT

At a glance

OSINT-based technology stack identification. An agent skill from transilienceai/communitytools.

  • Tasks that involve OSINT
  • SKILL.md covers Quick Start, Domain Sub-Skills, Routing by Objective and Confidence Levels, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Techstack Identification is an agent skill from transilienceai/communitytools. 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.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering OSINT. The repository describes itself as: Open-source Claude Code skills, agents, and slash commands for AI-powered penetration testing, bug bounty hunting, and security research. The licence is MIT.

When your agent uses it

  • Tasks that involve OSINT

Example prompts

  • “/techstack-identification”

What it can do on your machine

Read from SKILL.md and the folder at commit 95fdc12. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Techstack Identification loads about 826 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 238 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~826

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from transilienceai/communitytools at commit 95fdc12, republished under its MIT licence (© transilienceai). 238 words, ~826 tokens.

Download SKILL.mdSave it as .claude/skills/techstack-identification/SKILL.md (or your agent's skills folder).
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.

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-skillIdentifiesRead
frontendJS frameworks, meta-frameworks, CSS libraries, build tools, CMS via DOM/HTML/JSfrontend/SKILL.md
backendWeb servers, runtimes, languages, frameworks, DB, APIs, CMSbackend/SKILL.md
infraCloud, CDN/WAF, DNS, TLS/CT, DevOps, asset discovery (domains/subdomains/IPs)infra/SKILL.md
securitySecurity headers, CSP, email auth, security.txt, third-party SaaSsecurity/SKILL.md
osintPublic repos (GitHub/GitLab), job postings/ATS, Wayback Machineosint/SKILL.md
correlationCross-validation, confidence scoring, conflict resolutioncorrelation/SKILL.md

Routing by Objective

ObjectiveMount
Full stack discoveryinfra → (frontend, backend, security, osint) → correlation
CDN/WAF identification onlyinfra
API surface mappingbackend
Supply-chain / SaaS exposuresecurity + osint
CVE matching by versionbackend + frontend (then correlation)
Migration / historical contextosint (web archive) + correlation
CMS fingerprintfrontend (HTML generators) + backend (CMS paths/cookies)
Asset inventory onlyinfra (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.

© transilienceai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/techstack-identification of transilienceai/communitytools.

Open the folder on GitHubat commit 95fdc12

Compare with similar skills

Techstack Identification 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.

Techstack Identification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Techstack Identification this skilltransilienceai/communitytools562—~826Automated safety check: PassMIT
Metabigor OSINT Reconj3ssie/metabigor1.9k—~2.4kAutomated safety check: PassMIT
Ctf Osintljagiello/ctf-skills3.4k2 repos~2.3kAutomated safety check: NotesMIT
ShadowBroker Intelligence ClientBigBodyCobain/Shadowbroker11k—~8.9kAutomated safety check: WarnAGPL-3.0
Awesome Osint Operatorshoyann/RZK-The-Hunter140—~4.8kAutomated safety check: PassCC-BY-SA-4.0
Run Claude Osintelementalsouls/Claude-OSINT2.8k—~1.2kAutomated safety check: PassMIT

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Categories

Questions about Techstack Identification

What does Techstack Identification do?

OSINT-based technology stack identification. An agent skill from transilienceai/communitytools. Techstack Identification is an agent skill from transilienceai/communitytools. OSINT-based technology stack identification.

When should I use Techstack Identification?

Techstack Identification fits situations like: tasks that involve OSINT.

How do I install Techstack Identification in Claude Code?

Run `npx skills add transilienceai/communitytools --skill techstack-identification -a claude-code`. Or copy the skill folder (skills/techstack-identification in transilienceai/communitytools) into .claude/skills/techstack-identification in your project. Claude Code loads it when a task matches its description.

How do I install Techstack Identification in Codex?

Run `npx skills add transilienceai/communitytools --skill techstack-identification -a codex`. Or copy the skill folder (skills/techstack-identification in transilienceai/communitytools) into .agents/skills/techstack-identification in your project. Codex loads it when a task matches its description.

Can I use Techstack Identification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add transilienceai/communitytools --skill techstack-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/techstack-identification, .gemini/skills/techstack-identification, .github/skills/techstack-identification and .opencode/skills/techstack-identification in your project.

What does Techstack Identification need to run?

SKILL.md names no scripts, command-line tools or credentials: Techstack Identification is instructions for the agent only.

Does Techstack Identification access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Techstack Identification safe to install?

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. Review the folder before installing.

What licence does Techstack Identification use?

Techstack Identification is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Techstack Identification use?

About 826 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Techstack Identification?

Skills that share tags, products or a category with Techstack Identification: Metabigor OSINT Recon (j3ssie/metabigor, 1.9k stars), Ctf Osint (ljagiello/ctf-skills, 3.4k stars), ShadowBroker Intelligence Client (BigBodyCobain/Shadowbroker, 11k stars) and Awesome Osint Operator (shoyann/RZK-The-Hunter, 140 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Techstack Identification?

transilienceai (a GitHub organization) maintains it in transilienceai/communitytools, which has 562 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on July 29, 2026.

Source: transilienceai/communitytools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.