Local Platform E2E
computesdk/benchmarks
Stand up benchmarks-platform locally (Postgres + MinIO + ClickHouse in docker) and run a real @benchsdk/runner benchmark against it, with no cloud or provider credentials.
Install, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model).
$ npx skills add realZachi/pg-jev --skill pgjev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install realZachi/pg-jev pgjev --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/pgjev .claude/skills/pgjev && rm -rf skills-srcUse ~/.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/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .claude/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjevType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add realZachi/pg-jev --skill pgjev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install realZachi/pg-jev pgjev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/pgjev .agents/skills/pgjev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .agents/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add realZachi/pg-jev --skill pgjev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install realZachi/pg-jev pgjev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/pgjev .cursor/skills/pgjev && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .cursor/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/realZachi/pg-jev.git --path .agents/skills/pgjev--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add realZachi/pg-jev --skill pgjev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install realZachi/pg-jev pgjev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/pgjev .gemini/skills/pgjev && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .gemini/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install realZachi/pg-jev pgjevInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add realZachi/pg-jev --skill pgjev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/pgjev .github/skills/pgjev && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .github/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add realZachi/pg-jev --skill pgjev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install realZachi/pg-jev pgjev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/realZachi/pg-jev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/pgjev .opencode/skills/pgjev && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pgjev" agent skill from https://github.com/realZachi/pg-jev/tree/master/.agents/skills/pgjev into .opencode/skills/pgjev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pgjev", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pgjevInstall, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model).
Pgjev is an agent skill from realZachi/pg-jev. Install, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model). Use this skill whenever a user mentions pgjev, pg-jev, the jev extension, jev(), jevprob, jevchoice, jevscore, a "natural-language WHERE clause", "ask my Postgres table a question", classifying or scoring rows with AI inside Postgres, or hits an error starting with jev:. Covers "install pgjev on my server / in Docker", "write a query that picks…
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/functions.md`, `references/how-it-works.md` and `references/install.md`).
It sits in Writing & Content, covering Plain language and style rules, QA and bug reports and Containers. It works with PostgreSQL and Docker. The repository describes itself as: Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e3450d4. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
makebashpipdockerpsqlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
pgjev.comAlso links to:
github.comconsole.typesafe.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TYPESAFE_API_KEYPOSTGRES_PASSWORDFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pgjev loads about 2.9k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 177 tokens; SKILL.md has 1,466 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,466 words (~2,947 tokens).
“jev(table, 'condition') is an ordinary boolean SQL function. Every row is sent to TypeSafe's Jev model (a "System One" model that returns calibrated probabilities, not text) and judged against the condition. No index, no embeddings, no vector column. The sibling…”
SKILL.md and 8 other files (scripts, references) in .agents/skills/pgjev of realZachi/pg-jev.
Open the folder on GitHubat commit e3450d4
Pgjev 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pgjev this skillrealZachi/pg-jev | 1.1k | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Local Platform E2Ecomputesdk/benchmarks | 126 | — | ~3k | Automated safety check: Notes | MIT | |
| Local Stacktheopenco/llmgateway | 1.7k | — | ~1.6k | Automated safety check: Notes | Custom licence | |
| DeerFlow Smoke Testbytedance/deer-flow | 84k | — | ~2.5k | Automated safety check: Notes | MIT | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Cb Build TestBlkLeg/CircuitBreaker | 201 | — | ~1.9k | Automated safety check: Pass | MIT |
computesdk/benchmarks
Stand up benchmarks-platform locally (Postgres + MinIO + ClickHouse in docker) and run a real @benchsdk/runner benchmark against it, with no cloud or provider credentials.
theopenco/llmgateway
Run an isolated per-worktree LLM Gateway stack — own Postgres, Redis, storage Redis, and app ports — and tear it down safely.
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
prest/prest
Guides classifying, gap-analyzing and scaffolding support for a new SQL database in pREST, from Postgres-compatible variants to entirely new dialects.
BlkLeg/CircuitBreaker
How Circuit Breaker is built, tested, packaged, and kept secret-safe — the make dev/verify/test targets, the PostgreSQL integration test database and its fixtures, the mono Docker image and native…
vogler75/monster-mq
Guide for configuring, deploying, and operating the MonsterMQ broker.
Works with
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Install, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model). Pgjev is an agent skill from realZachi/pg-jev. Install, configure, query and explain pgjev (the jev PostgreSQL extension that filters, ranks and classifies rows with plain-language conditions via TypeSafe's Jev model).
Pgjev fits situations like: A user mentions pgjev; the jev extension; A natural-language WHERE clause; ask my Postgres table a question.
Run `npx skills add realZachi/pg-jev --skill pgjev -a claude-code`. Or copy the skill folder (.agents/skills/pgjev in realZachi/pg-jev) into .claude/skills/pgjev in your project. Claude Code loads it when a task matches its description.
Run `npx skills add realZachi/pg-jev --skill pgjev -a codex`. Or copy the skill folder (.agents/skills/pgjev in realZachi/pg-jev) into .agents/skills/pgjev in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add realZachi/pg-jev --skill pgjev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pgjev, .gemini/skills/pgjev, .github/skills/pgjev and .opencode/skills/pgjev in your project.
Going by SKILL.md and its folder, Pgjev needs a shell for the scripts in its folder, the command-line tools its instructions call (make, bash, pip, docker and psql) and credentials named TYPESAFE_API_KEY and POSTGRES_PASSWORD. Our summary lists: Python 3; A Bash shell; Docker; A credential in TYPESAFE_API_KEY.
SKILL.md names 3 domains. In commands or code: pgjev.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and console.typesafe.ai. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Pgjev has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Pgjev: Local Platform E2E (computesdk/benchmarks, 126 stars), Local Stack (theopenco/llmgateway, 1.7k stars), DeerFlow Smoke Test (bytedance/deer-flow, 84k stars) and SQL Database Support for pREST (prest/prest, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
realZachi (a GitHub user) maintains it in realZachi/pg-jev, which has 1,069 GitHub stars. The repository was last updated on October 6, 2026.
Source: realZachi/pg-jev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.