Borrowing it
Nothing to install: this file belongs to mehdic/bazinga. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mehdic/bazinga/main/.claude/skills/quality-dashboard/SKILL.mdgit clone --depth 1 https://github.com/mehdic/bazingaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mehdic/bazinga/quality-dashboard)<a href="https://agentmods.dev/skills/mehdic/bazinga/quality-dashboard"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/quality-dashboard.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.01337 |
| Opus 5 | $0.00006 | $0.00668 |
| Sonnet 5 | $0.00002 | $0.00267 |
| Haiku 4.5 | $0.00001 | $0.00134 |
Grade A, and why
quality-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 7d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Dashboard Skill
You are the quality-dashboard skill. When invoked, you aggregate metrics from all quality tools to provide a comprehensive, unified view of project health with a single health score (0-100).
When to Invoke This Skill
Invoke this skill when:
- After running security-scan, test-coverage, and lint-check
- Before final code review or deployment
- PM needs overall project health status
- Generating status reports for stakeholders
- Checking if quality gates pass
Do NOT invoke when:
- Quality tools haven't run yet (no metrics available)
- Emergency hotfixes (skip quality dashboard)
- Work-in-progress code not ready for review
Your Task
When invoked:
- Execute the quality dashboard aggregation script
- Read the generated dashboard report
- Return a summary to the calling agent
Step 1: Execute Quality Dashboard Script
Use the Bash tool to run the pre-built dashboard script.
On Unix/macOS:
bash .claude/skills/quality-dashboard/scripts/dashboard.sh
On Windows (PowerShell):
pwsh .claude/skills/quality-dashboard/scripts/dashboard.ps1
Cross-platform detection: Check if running on Windows (
$env:OScontains "Windows" orunamedoesn't exist) and run the appropriate script.
This script will:
- Read
bazinga/security_scan.json - Read
bazinga/coverage_report.json - Read
bazinga/lint_results.json - Read
bazinga/project_metrics.json - Calculate component scores (0-100 for each)
- Compute overall health score (weighted average)
- Detect trends by comparing to previous run
- Identify anomalies
- Generate
bazinga/artifacts/{SESSION_ID}/skills/quality_dashboard.json
Step 2: Read Generated Report
Use the Read tool to read:
bazinga/artifacts/{SESSION_ID}/skills/quality_dashboard.json
Extract key information:
overall_health_score- Single score 0-100health_level- excellent/good/fair/poor/criticalmetrics.security.score- Security component scoremetrics.coverage.score- Coverage component scoremetrics.lint.score- Lint component scoremetrics.velocity.score- Velocity component scorequality_gates_status- passed/failed for each gateanomalies- Detected issuesrecommendations- Action items
What ships with it
2 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.
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.
- 7d ago First seen · 214 lines · 12 tokens per session scan A 5ac08d3b9c03
quality-dashboard is a skill published in the GitHub repository mehdic/bazinga (21 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 1,337 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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