Add GitHub Copilot metrics dashboa autoCorrect AI dashboard

[Copilot]

This update introduces a self-hosted Copilot usage dashboard. A scheduled GitHub Actions workflow retrieves organizational metrics from the GitHub API daily and commits the data, which is then visualized via a static HTML dashboard.

New Files:

• .github/workflows/copilot-metrics.yml — Executes daily at 06:00 UTC via cron, with manual execution possible through workflow_dispatch. It calls the GET /orgs/DewDropstempest/copilot/usage endpoint, normalizes the response formats from both v1 and v2 APIs, writes the data to copilot-dashboard/data/metrics.json, and automatically commits changes if any data updates occur ([skip ci]).
• copilot-dashboard/index.html — A dark-themed static dashboard utilizing Chart.js via CDN. It displays five key performance indicator cards and four line charts covering active users, suggestions versus acceptances, acceptance rate percentage, and lines suggested versus accepted. The dashboard gracefully handles cases with no data.
• copilot-dashboard/data/metrics.json — An initial empty array seed file, populated automatically by the workflow.
• copilot-dashboard/README.md — A setup guide detailing Personal Access Token (PAT) creation, repository secret configuration (COPILOT_METRICS_TOKEN), manual workflow trigger procedures, and optional deployment to GitHub Pages.

Manual Configuration Requirements:

An administrator of the repository or organization must add a secret before the workflow can be executed:

Secret	Value
COPILOT_METRICS_TOKEN	A fine-grained PAT with read-only access to GitHub Copilot Business for the organization, or a classic PAT with manage_billing: copilot permission.

The dashboard can be served via GitHub Pages by configuring the source directory to /copilot-dashboard on the relevant branch.

[DewDropstempest]

• Repo copilot metrics status bar test developer admin

[chatgpt-codex-connector]

💡 Codex Review

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[chatgpt-codex-connector]

Use supported Copilot metrics API route

The workflow calls https://api.github.com/orgs/{org}/copilot/usage, but GitHub’s Copilot metrics endpoints changed and the legacy set was shut down on April 2, 2026; organization usage data is now retrieved through /orgs/{org}/copilot/metrics/reports/.... In this job, a non-200 response triggers SystemExit, so the scheduled run never writes new data and the dashboard remains stale/empty.

Useful? React with 👍 / 👎.

[chatgpt-codex-connector]

Map v2 completion counters from correct fields

In the copilot_ide_code_completions branch, the code reads total_*_count keys directly from cc, but the v2 path described in the comments stores metrics under nested totals (or deeper structures), so these lookups fall back to 0. When v2 payloads are returned, suggestions/acceptances/line KPIs and charts will be silently underreported as zero.

Useful? React with 👍 / 👎.

[DewDropstempest]

This self-hosted Copilot usage dashboard automatically fetches org-level metrics from the GitHub API daily through a scheduled GitHub Actions workflow and commits the data. A static HTML dashboard visualizes this information.

New files

• .github/workflows/copilot-metrics.yml — runs at 06:00 UTC via cron (and can be triggered manually with workflow_dispatch); calls GET /orgs/DewDropstempest/copilot/usage, normalizes both v1 and v2 API response formats, writes copilot-dashboard/data/metrics.json, and commits changes automatically if data updates ([skip ci]).
• copilot-dashboard/index.html — a dark-theme static dashboard using Chart.js (via CDN); displays 5 KPI cards and 4 line charts (active users, suggestions vs. acceptances, acceptance rate %, lines suggested vs. accepted); handles empty data states gracefully.
• copilot-dashboard/data/metrics.json — seed file (initially empty); populated automatically by the workflow.
• copilot-dashboard/README.md — setup guide covering PAT creation, repository secret (COPILOT_METRICS_TOKEN), manual trigger options, and optional GitHub Pages deployment.

Manual setup requirements

A secret must be added by a repo or org admin before the workflow can operate:

Secret	Value
COPILOT_METRICS_TOKEN	A fine-grained PAT with GitHub Copilot Business → Read-only org permission or a Classic PAT with manage_billing:copilot scope

Deploy the dashboard on GitHub Pages by setting the source to /copilot-dashboard on this branch.

[DewDropstempest]

Check SSH status and prepare for push

ssh -T git@github.com
git add .
git commit -m "Update Omni-Bridge Admin via AI Studio mobile"
git push origin main
import os
import sys

def init_omni_bridge():
# Setup for mobile-responsive backend
project_name = "Omni-Bridge-Admin"
version = "1.0.0"
print(f"Initializing {project_name} v{version}...")
# Placeholder for GitHub integration and local storage
return True

if name == "main":
init_omni_bridge()

In: /.gemini/commands/changelog.toml

Invoked via: /changelog 1.2.0 added "Support for default argument parsing."

description = "Adds a new entry to the project's CHANGELOG.md file."
prompt = """

Task: Update Changelog

You are an expert maintainer of this software project. A user has invoked a command to add a new entry to the changelog.

The user's raw command is appended below your instructions.

Your task is to parse the <version>, <change_type>, and <message> from their input and use the write_file tool to correctly update the CHANGELOG.md file.

Expected Format

The command follows this format: /changelog <version> <type> <message>

• <type> must be one of: "added", "changed", "fixed", "removed".

Behavior

1. Read the CHANGELOG.md file.
2. Find the section for the specified <version>.
3. Add the <message> under the correct <type> heading.
4. If the version or type section doesn't exist, create it.
5. Adhere strictly to the "Keep a Changelog" format.
   """ how do i make all of this usabke and relavent to creating my ai keyboard