jevvy

agent
Guvenlik Denetimi
Basarisiz
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Basarisiz
  • exec() — Shell command execution in .changeset/changelog.mjs
  • process.env — Environment variable access in eval/calibrate.mjs
  • rm -rf — Recursive force deletion command in eval/commands.json
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Auto-approve harmless shell permission prompts across coding agent harnesses

README.md

Jevvy

npm version
npm downloads

Auto-approve harmless shell commands without handling every permission prompt yourself

Jevvy adds probabilistic review to your agent harness, clearing routine commands while preserving human review for anything uncertain.

Demo showing git status asks without Jevvy, runs automatically with Jevvy, and rm -rf still asks

Assisted setup

npx @jevvy/permissions init

Manual setup

Install the OpenCode plugin:

opencode plugin add @jevvy/permissions

Create ~/.config/jevvy/jevvy.jsonc and select your provider.

For example, to use OpenCode Zen with an OpenCode login:

{
  "$schema": "https://raw.githubusercontent.com/PanAchy/jevvy/main/config.schema.json",
  "provider": "zen",
}

Then authenticate the selected provider and start a session. For the OpenCode Zen example:

opencode auth login opencode
opencode

How it works

OpenCode applies its built-in permission rules and any rules you add. Jevvy only participates when those rules would ask you about a shell command.

flowchart TD
    rules[OpenCode permission rules]
    rules -->|Allow| run[Run the command]
    rules -->|Deny| block[Block the command]
    rules -->|Ask| review[Jevvy reviews]
    review -->|Every question passes| run
    review -->|Anything else| prompt[Ask you what to do]

Configuration

Jevvy reads one global file at ~/.config/jevvy/jevvy.jsonc. Project repositories cannot override it. JSONC comments and trailing commas are supported. Keep $schema for editor validation and autocomplete.

{
  "$schema": "https://raw.githubusercontent.com/PanAchy/jevvy/main/config.schema.json",
  "provider": "typesafe",
  "providers": {
    "typesafe": {
      "apiKey": "your-typesafe-api-key",
    },
  },
}

Providers

Provider provider Credential sources
OpenCode Zen zen OpenCode login, providers.zen.apiKey, or OPENCODE_API_KEY
TypeSafe AI typesafe providers.typesafe.apiKey or TYPESAFE_API_KEY
OpenRouter openrouter providers.openrouter.apiKey or OPENROUTER_API_KEY
Vercel AI Gateway vercel providers.vercel.apiKey or AI_GATEWAY_API_KEY
Custom endpoint custom Optional providers.custom.apiKey

Jevvy uses only the selected provider and never falls back to another one.

Custom System One endpoint

Select custom to use any HTTP endpoint that accepts the System One request shape and returns typed System One answers:

{
  "$schema": "https://raw.githubusercontent.com/PanAchy/jevvy/main/config.schema.json",
  "provider": "custom",
  "providers": {
    "custom": {
      "endpoint": "https://system-one.example.com/v1/decisions",
      "model": "your-model",
      "apiKey": "your-api-key",
    },
  },
}

providers.custom.apiKey is optional. When present, Jevvy sends it as a Bearer token. This supports authenticated hosted routes and unauthenticated local servers. A local model can use the same interface when its server exposes a compatible endpoint.

Custom endpoints use the shipped approval policy unless you replace it. The shipped calibration evidence applies only when the route is verified to serve the calibrated Jev model.

Approval policy

By default, Jevvy requires all four shipped questions to pass:

Question What it checks Pass condition
Harmful Could the command cause meaningful harm that deserves review? Noul ≤ 0.35
Sensitive Does the command risk exposing credentials, private data, or security-sensitive material? Noul ≤ 0.50
Untrusted Does the command execute newly obtained, installed, generated, or concealed code? Noul ≤ 0.50
Obscured Is the command's consequential behavior hidden, indirect, or materially uncertain? Noul ≤ 0.50

The four shipped questions, thresholds, and model identities were calibrated together against eval/commands.json. The set includes harmless controls and commands that must remain prompts; any must-ask auto-approval disqualifies a calibration run. Custom policies are not covered by this evidence.

Custom policies replace all shipped questions. Define a non-empty map of risk-oriented System One Nouls, each with a Jevvy threshold:

{
  "permissions": {
    "questions": {
      "harmful": {
        "type": "noul",
        "instructions": "Could this command cause meaningful harm that deserves human review?",
        "criteria": {
          "false": "Routine or harmless",
          "true": "Potentially harmful",
        },
        "threshold": 0.35,
      },
    },
  },
}

A Noul answer is the probability that the answer is yes. Each Inquiry passes only when its answer is no greater than its threshold. See TypeSafe's Noul documentation.

Calibrate custom questions

Install the optional calibrate-permissions skill when you want an agent to design or validate a custom policy:

npx skills add PanAchy/jevvy --skill calibrate-permissions

The skill runs jevvy-calibrate against Jevvy's bundled baseline. Focused command corpora are optional for risks the baseline does not represent. Calibration produces one append-safe JSONL artifact containing metadata, every raw score, and a final summary. Jevvy does not install or activate the skill for you.

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