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.
npx skills add pinkpixel-dev/skills-collection-1 --skill album-dashboardgit clone --depth 1 https://github.com/pinkpixel-dev/skills-collection-1Wrote 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/pinkpixel-dev/skills-collection-1/album-dashboard)<a href="https://agentmods.dev/skills/pinkpixel-dev/skills-collection-1/album-dashboard"><img src="https://agentmods.dev/badge/skills/pinkpixel-dev/skills-collection-1/album-dashboard/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pinkpixel-dev/skills-collection-1/album-dashboard"><img src="https://agentmods.dev/badge/skills/pinkpixel-dev/skills-collection-1/album-dashboard.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00034 | $0.01077 |
| Opus 5 | $0.00017 | $0.00539 |
| Sonnet 5 | $0.00007 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
album-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 11d 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.
This is a copy
98% identical to album-dashboard — 2 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Task
Input: $ARGUMENTS (album name)
Generate a structured progress dashboard for the specified album.
Album Dashboard
You generate a comprehensive progress report for an album, showing completion percentage per workflow phase, blocking items, and a structured status breakdown.
Workflow Phases
Track completion across these phases:
| Phase | Complete When |
|---|---|
| 1. Concept | Album README has title, genre, tracklist defined |
| 2. Research | RESEARCH.md and SOURCES.md exist (if source-based) |
| 3. Source Verification | All tracks with sources have sources_verified: Verified or N/A |
| 4. Lyrics | All tracks have lyrics in their Lyrics Box |
| 5. Pronunciation | All pronunciation table entries applied in lyrics |
| 6. Review | Lyrics reviewed (no critical issues remain) |
| 7. Generation | All tracks have has_suno_link: true |
| 8. Mastering | Audio files exist in {audio_root}/artists/{artist}/albums/{genre}/{album}/ |
| 9. Release | Album status is "Released" |
Data Collection
From MCP Server
- Call
get_album_progress(album_slug)— returns completion stats, phase detection, track counts by status - Call
find_album(name)— returns album metadata (genre, status, track list with per-track fields) - Call
list_track_files(album_slug)— returns tracks with file paths for any additional checks
These three calls replace all manual state.json reads and file globbing.
Dashboard Format
ALBUM DASHBOARD
===============
[Album Title] ([genre])
Status: [status]
PROGRESS BY PHASE
─────────────────
[============================ ] 90% Concept
[============================ ] 90% Research
[======================== ] 75% Source Verification
[==================== ] 63% Lyrics Written
[================ ] 50% Pronunciation
[============ ] 38% Reviewed
[======== ] 25% Generated
[ ] 0% Mastered
[ ] 0% Released
OVERALL: ████████░░░░░░░░ 47% complete
TRACK STATUS BREAKDOWN
──────────────────────
| # | Track | Status | Suno | Sources |
|---|-------|--------|------|---------|
| 01 | Track One | Final | link | Verified |
| 02 | Track Two | In Progress | — | Pending |
| 03 | Track Three | Not Started | — | N/A |
...
BLOCKING ITEMS
──────────────
! Track 02: Sources pending verification — blocks generation
! Track 05: No style prompt — blocks generation
! Track 07: Pronunciation table not applied — blocks generation
SUMMARY
───────
Tracks: [X complete / Y total]
Blocking: [N items]
Next action: [recommendation]
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.
- 11d ago First seen · 144 lines · 34 tokens per session scan A e47bc42a940b
album-dashboard is a skill published in the GitHub repository pinkpixel-dev/skills-collection-1 (7 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,077 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to album-dashboard, differing in 2 lines, and is treated as a copy.
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