github-dashboard

A dashboard for tracking activity and health metrics from one GitHub repository, a project-hosting page where developers store code and collaborate. It covers stars, forks, contributors, issues, pull requests, and recent activity.

In plain words
What is it for?
Use it for repository growth reports, open-source project health pages, issue and pull-request activity views, and contributor or maintainer dashboards.
Why use it?
It gathers common repository signals into one view, so you can inspect project growth and maintenance activity without checking each GitHub area separately.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/wolfenazz/yzpzcode/github-dashboard
Any agent
npx skills add wolfenazz/YzPzCode --skill github-dashboard
Clone the repo
git clone --depth 1 https://github.com/wolfenazz/YzPzCode

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,760 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.01760
Opus 5 $0.00028 $0.00880
Sonnet 5 $0.00011 $0.00352
Haiku 4.5 $0.00006 $0.00176

Measured yesterday against content hash f69eda62ae8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-dashboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to github-dashboard — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

app/desgin/design-templates/github-dashboard/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Dashboard Skill

Create a single-screen GitHub repository analytics dashboard in the FlowAI / Soft Paper Workspace visual style: warm off-white canvas, white rounded panels, a fixed left sidebar, compact KPI cards, pastel pills, dense tables, and low-contrast hairlines.

Resource map

github-dashboard/
├── SKILL.md
├── example.html                         ← rendered reference dashboard
└── references/
    ├── template.html                    ← live-artifact-compatible HTML template
    ├── example-data.json                ← normalized public GitHub data shape
    ├── artifact-example.json            ← minimal live-artifact create input
    └── provenance-example.json          ← safe source/provenance example

When to use this skill

Use this when the user asks for a dashboard or report about a single GitHub repository, for example:

  • repository growth dashboard
  • open-source project health report
  • GitHub stars / forks / contributors analytics
  • issue and pull-request activity page
  • maintainer / contributor dashboard

If the user asks for refreshability, source auditability, or scheduled updates, produce the live-artifact source set (template.html, data.json, artifact.json, provenance.json) and follow the live-artifact contract. If they only need a visual artifact, produce a self-contained index.html.

Workflow

  1. Resolve repository scope

    • Parse owner/repo from the brief.
    • This v1 skill is scoped to one repository. If multiple repositories are requested, ask the user to pick the primary repository or create one dashboard per repository.
    • If the repo is missing, ask one concise question for the GitHub URL or owner/repo.
  2. Collect public GitHub data

    • Prefer GitHub CLI/API for public repository data when available.
    • Current stars/forks/watchers/open issue count: GET /repos/{owner}/{repo} (stargazers_count, forks_count, watchers_count, open_issues_count).
    • Contributors: paginate GET /repos/{owner}/{repo}/contributors?per_page=100&page=N, sort by contributions descending, and take the top N used by the dashboard. If only page 1 is available, label totals as first-page estimates.
    • Issues: use GitHub Search API (repo:{owner}/{repo} is:issue) for total counts, or paginate GET /repos/{owner}/{repo}/issues?state=all and filter out items with a pull_request field.
    • Pull requests: use GitHub Search API (repo:{owner}/{repo} is:pr) for total counts, or paginate GET /repos/{owner}/{repo}/pulls?state=all and count pages via the Link header.
    • Recent activity: combine the newest issues and pull requests, normalize them into display-ready rows, and cap the preview list at 5–10 items.
    • Growth/delta metrics: GitHub REST does not expose complete historical star/fork deltas. Use GraphQL, stargazer event snapshots, the Events API where available, or explicitly mark deltas as estimated/synthetic in provenance.json.
    • Do not store auth tokens, raw HTTP envelopes, cookies, rate-limit headers, or private metadata.

Read the full file on GitHub · 131 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 131 lines · 55 tokens per session scan A f69eda62ae8a

Subscribe to this mod's changes

github-dashboard is a skill published in the GitHub repository wolfenazz/YzPzCode (11 stars, last pushed 7d ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,760 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to github-dashboard, differing in 0 lines, and is treated as a copy.