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Backend Tech-Stack Identification — measured AI agent skill | DecimalAI

transilienceai/techstack-backend

NewSkillScoreMaintained

Backend tech-stack identification — web servers, runtimes, languages, frameworks, databases, APIs, and CMS via HTTP headers, cookies, error pages, and API discovery.

Securityby transilienceai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Security & AppSec pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/transilienceai-techstack-backend/SKILL.md

decimalai skills pull transilienceai-techstack-backend --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/transilienceai-techstack-backend/SKILL.md https://app.decimal.ai/s/transilienceai-techstack-backend/SKILL.md

Raw file: /s/transilienceai-techstack-backend/SKILL.md ↗ · machine-readable summary at /s/transilienceai-techstack-backend.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2h ago

Yes — +5% lift+16% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-22%	0%
case-02	✓→✓	＝ Same ✓	-2%	0%
case-03	✓→✓	＝ Same ✓	-24%	0%
case-04	✓→✓	＝ Same ✓	16%	0%
case-05	✓→✓	＝ Same ✓	106%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

transilienceai / communitytools

skills/techstack-identification/backend/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

Backend Tech-Stack Identification

Scope

Identify server-side technologies: web servers (nginx, Apache, IIS), runtimes (Node, Python, PHP, Ruby, Java, .NET), backend frameworks (Express, Django, Flask, Rails, Laravel, Spring, ASP.NET), databases (Postgres, MySQL, Mongo, Redis), CMS (WordPress, Drupal, Magento), and API surfaces (REST, GraphQL, OpenAPI).

Signals (input)

HTTP response headers — Server, X-Powered-By, X-AspNet-Version, X-Drupal-*, X-Generator, etc.
Cookies — session-name fingerprints (PHPSESSID, JSESSIONID, _rails_session, ...)
Error page bodies (404, 500)
Path patterns hinting CMS (/wp-admin/, /sites/default/)
API subdomains and OpenAPI/Swagger/GraphQL endpoints
robots.txt directives

Inferences (output)

Web server + version
Runtime / language + version
Backend framework (with implied runtime)
CMS + version
Database (often indirect — via ORM dependency or hosted-DB DNS)
API style (REST/GraphQL/gRPC) and authentication scheme

Techniques

See reference/patterns.md.

When to use

Phase 2/3 of a tech-stack OSINT engagement
Mapping server-side attack surface (RCE, SSRF, deserialization)
CVE matching by server + version
Locating GraphQL / OpenAPI for follow-on api-security testing

Want to see if transilienceai/techstack-backend would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.