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Backend tech-stack identification — web servers, runtimes, languages, frameworks, databases, APIs, and CMS via HTTP headers, cookies, error pages, and API discovery.
Passed 22 of 22 test cases with the skill, and 21 of 22 without it.
1 fixed21 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We collected a set of server signals including a 'JSESSIONID' cookie, custom error page signatures, and a '/graphql' route. Work through these inputs to produce a fingerprint summary of the target's backend system, covering the underlying server runtime, framework, database indicators, and API authentication patterns.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Java or JVM as the underlying runtime environment based on JSESSIONID | Passed | Passed |
| Identifies GraphQL as the primary API surface type | Passed | Passed |
| Flags potential ORM or database DNS lookup indicators as secondary indirect database signals | Missed | Passed |
The instructions your model reads when the skill loads.
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).
Server, X-Powered-By, X-AspNet-Version, X-Drupal-*, X-Generator, etc.PHPSESSID, JSESSIONID, _rails_session, ...)/wp-admin/, /sites/default/)robots.txt directivesSee reference/patterns.md.
test cases passed, vs 21 / 22 without
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