[External Plugin]: tokoscope

[tokoscope]

Plugin name

tokoscope

Short description

Analyze LLM prompts for token count, waste score, and cost estimates across OpenAI, Anthropic, and Gemini. Get compression suggestions to reduce token spend before hitting the API.

GitHub repository

tokoscope/copilot-plugin

Plugin path inside the repository

/

Ref to review

v1.0.0

Commit SHA to review

18d805e0bfb02997defab0618d1d2537b893b0ec

Version

1.0.0

License identifier

MIT

Author name

Emmanuel Ekunsumi

Author URL

https://tokoscope.com

Homepage URL

https://tokoscope.com

Keywords

llm
tokens
openai
anthropic
gemini
cost
optimization
prompt-compression

Additional notes for reviewers

Tokoscope is an LLM token optimization platform used by developers building on OpenAI, Anthropic, and Gemini. The Copilot plugin adds a tokoscope agent and analyze skill that estimates token counts, scores prompts for waste, and suggests compression to reduce API costs. Also available on VS Code Marketplace (tokoscope.tokoscope) and Open VSX.

Submission checklist

• The plugin lives in a public GitHub repository.
• The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
• This submission follows this repository's contribution, security, and responsible AI policies.
• This plugin is not already listed in the Awesome Copilot marketplace.

[github-actions]

⚠️ External plugin intake requires submitter fixes

This submission passed metadata validation, but quality gates found issues that must be fixed before it can move to maintainer review. Update the issue details or source plugin and then comment /rerun-intake.

• Plugin: tokoscope
• Repository: https://github.com/tokoscope/copilot-plugin
• Ref: v1.0.0
• SHA: 18d805e0bfb02997defab0618d1d2537b893b0ec

Quality gate summary

Gate	Status
vally lint	fail
install smoke test	fail

• vally lint: fail
• install smoke test: fail
• overall: fail

vally lint output

❌ /tmp/external-plugin-quality-xJB0AT/submission/skills/analyze/SKILL.md (2/3 checks passed, 1 failed)
    ✗ [spec-compliance] 1 of 1 skill(s) have spec violations.
        ✗ spec-compliance: Spec checks failed.
            ✗ Skill name is missing.
            ✗ Description is missing.
    ✓ [valid-refs] All file references across 1 skill(s) are valid.
        ✓ valid-refs: All file references resolve to existing files within the skill directory.
    ✓ [orphan-files] No orphan files found across 1 skill(s).
        ✓ orphan-files: No references/ directory found — no orphans possible.

1 skill(s) linted, 1 failed

Install smoke test output

Failed to install plugin: Error: Plugin path escapes repository directory: /

Canonical external.json payload

{
  "name": "tokoscope",
  "description": "Analyze LLM prompts for token count, waste score, and cost estimates across OpenAI, Anthropic, and Gemini. Get compression suggestions to reduce token spend before hitting the API.",
  "version": "1.0.0",
  "author": {
    "name": "Emmanuel Ekunsumi",
    "url": "https://tokoscope.com"
  },
  "repository": "https://github.com/tokoscope/copilot-plugin",
  "homepage": "https://tokoscope.com",
  "license": "MIT",
  "keywords": [
    "llm",
    "tokens",
    "openai",
    "anthropic",
    "gemini",
    "cost",
    "optimization",
    "prompt-compression"
  ],
  "source": {
    "source": "github",
    "repo": "tokoscope/copilot-plugin",
    "path": "/",
    "ref": "v1.0.0",
    "sha": "18d805e0bfb02997defab0618d1d2537b893b0ec"
  }
}

View workflow run

[tokoscope]

/rerun-intake