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jev-fast-skills

stkang9409/jev-fast-skills

TypeSafe Jev fast skills plugin for Antigravity and Claude Code.

Agent Decisions0.82Runner-up: Infra / SDKs / Integrations
Automated README summary

Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A plugin providing two fast agent skills, fast-browser and prompt-engineer, for Google Antigravity and Anthropic Claude Code, with an internal POSIX shared memory layer for session and audit sharing.

How it uses Jev

The README does not state how Jev is used or which decisions it makes; it only describes the plugin as TypeSafe Jev based and lists skills, RAM layer, and rules.

Technique worth stealing

Embedding a POSIX SharedMemory layer inside the plugin for fast session handoff and audit diffing.

Try it

git clone https://github.com/stkang9409/jev-fast-skills.git ~/.gemini/config/plugins/jev-fast-skills && TYPESAFE_API_KEY="your_typesafe_api_key" ~/.gemini/config/plugins/jev-fast-skills/install.sh

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.29
  • Shows a System One patternFound in material0.74
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersFound in material0.65
  • Is a runnable toolFound in material0.93
  • Top-10 learning shortlist signalnot found in the excerpt0.39
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.29Shows a System One pattern0.74Describes handling uncertainty0.07Reports measured numbers0.65Is a runnable tool0.93Top-10 learning shortlist signal0.39Is a replica of the model0.0800.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns

No pattern scored above the reporting threshold.

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 16 Oct 2026.