npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@camj78/costguardai

v0.2.16

Published

Detect token cost explosions and prompt risk before LLM calls — preflight analysis for OpenAI, Anthropic, and Gemini prompts

Readme

CostGuardAI CLI

Preflight analysis for LLM prompts. Catch cost overruns and failure risk before they ship.

npm install -g @camj78/costguardai
costguardai ci --fail-on-risk 70

Install

npm install -g @camj78/costguardai

Usage

# Analyze a prompt
costguardai analyze my-prompt.txt

# Block unsafe prompts in CI
costguardai ci --fail-on-risk 70

# Initialize CostGuardAI in your repo
costguardai init

CostGuardAI CI will fail if the prompt's CostGuardAI Safety Score falls below your configured threshold.

Automatic Prompt Hardening

costguardai fix prompt.txt

CostGuardAI can automatically harden prompts by adding injection protections, system boundaries, and safety guards.

CostGuardAI Fix Mode
────────────────────────────────────────────────
Original Safety Score: 58
Issues Detected:
  • Structural Risk
  • Ambiguity Risk

Applying prompt hardening...
  ✔ Added system boundary protections
  ✔ Removed injection vulnerability
  ✔ Added explicit instruction scoping

New Safety Score: 92

Hardened prompt written to:
  prompt.hardened.txt

The hardened prompt is written to <original-name>.hardened.<ext> alongside the original file.

GitHub Actions

name: CostGuardAI
on: [pull_request]
jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npm install -g @camj78/costguardai
      - run: costguardai ci --fail-on-risk 70

Exit Codes

| Code | Meaning | |------|---------| | 0 | All files below threshold | | 1 | Runtime error | | 2 | One or more files at or above threshold |

Commands

| Command | Description | |---------|-------------| | analyze <path> | Analyze prompt files in a directory or single file | | fix <file> | Harden a prompt and improve its safety score | | ci [path] | CI-native scan with --fail-on-risk <n> | | init | Create costguard.config.json with defaults |

Options

--model <id>             gpt-4o-mini (default), gpt-4o, claude-sonnet-4-6, claude-haiku-4-5
--format text|md|json    Output format (default: text)
--json                   Shorthand for --format json
--fail-on-risk <n>       Exit 2 if any file risk_score >= n  [ci command]
--threshold <n>          Same as --fail-on-risk               [analyze command]
--ext <exts>             Comma-separated extensions (default: .txt,.md,.prompt)
--expected-output <n>    Expected output tokens (default: 512)
--config <path>          Config file path (default: costguard.config.json)

Links

  • Docs: https://costguardai.io/docs
  • Web app: https://costguardai.io
  • GitHub: https://github.com/Camj78/Cost-Guard-AI