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fingerprint-ci-gate

Self-hosted alternatives to fingerprint-ci-gate

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

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    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

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  2. O

    open-notebook

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    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

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  3. R

    Reactive Resume

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    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

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    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

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  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

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About fingerprint-ci-gate

F

fingerprint-ci-gate

Gate a build on browser fingerprint regressions with liarjs

Fingerprint CI gate is an agent skill for failing a build when a browser's fingerprint gets worse. A regression in fingerprint consistency can go unnoticed until traffic starts being rejected weeks later, so the skill turns the check into something visible in a pull request. It runs a liarjs scan, saves the result as a JSON baseline, and compares later runs against that baseline. There are two mechanisms. The first is an absolute floor: with --headless and --min-score set, the job exits with code 1 when the score falls below the number given, such as 60. The second is a comparison against the saved baseline, which catches a drop from an earlier run. The runner needs Node 22 or newer and a Chromium in the container image, and liarjs has no runtime dependencies. The skill advises giving the container enough shared memory, with --shm-size=1g on Docker or a mounted /dev/shm, and leaving Chrome's own sandbox enabled, since a scan that will not start is an image problem to fix in the image. It suits teams that run automated browsers and want continuous integration to block changes that weaken the fingerprint.

Price
Free
Made by
liarjsdev
Category
AI Skills
Website
github.com/liarjsdev/liarjs-skills/fingerprint-ci-gate