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 bitwize-music-studio/claude-ai-music-skills --skill verify-sourcesgit clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skillsWrote 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/bitwize-music-studio/claude-ai-music-skills/verify-sources)<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/verify-sources"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/verify-sources/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/bitwize-music-studio/claude-ai-music-skills/verify-sources"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/verify-sources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00029 | $0.01269 |
| Opus 5 | $0.00015 | $0.00634 |
| Sonnet 5 | $0.00006 | $0.00254 |
| Haiku 4.5 | $0.00003 | $0.00127 |
Grade A, and why
verify-sources 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 12d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Task
Input: $ARGUMENTS (album name)
Guide the user through source verification for all tracks with pending sources in the specified album.
Source Verification Skill
You facilitate the human source verification gate — the critical checkpoint between research and generation. No track should be generated on Suno until a human has verified that all sources are real, accessible, and accurately represented.
Step 1: Find the Album
- Call
find_album(name)— fuzzy match by name, slug, or partial - If not found, MCP returns available albums
Step 2: Identify Pending Tracks
- Call
get_pending_verifications(album_slug="{album}")— returns pending tracks for the target album - If no album specified, call
get_pending_verifications()for all albums
If no pending tracks:
All tracks in [album] have been verified. No action needed.
If pending tracks exist, list them:
SOURCE VERIFICATION: [Album Title]
===================================
Tracks needing verification:
1. [track-slug] — [track-title]
2. [track-slug] — [track-title]
...
Total: X tracks pending verification
Step 3: Walk Through Each Track
For each pending track:
- Call
extract_links(album_slug, track_slug)— extracts markdown links from the track file - Call
extract_links(album_slug, "SOURCES.md")— get the full citation list - Read RESEARCH.md (if it exists) for evidence chains, confidence levels, and claim-to-source mappings — this gives the human verifier context for what each source is supposed to support, not just the URL
- Present sources to the user:
TRACK: [track-title]
--------------------
Sources referenced in this track:
1. [Source Name](URL) — [brief description of what it supports]
2. [Source Name](URL) — [brief description]
...
Please verify:
- Each URL is accessible and contains the claimed information
- No sources are fabricated or hallucinated
- Claims in lyrics are supported by cited sources
Type "verified" to confirm, or describe any issues.
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.
- 12d ago First seen · 167 lines · 29 tokens per session scan A 20c69c14818c
verify-sources is a skill published in the GitHub repository bitwize-music-studio/claude-ai-music-skills (483 stars, last pushed 2d ago), licensed CC0-1.0. It adds 29 tokens to every session and 1,269 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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