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 promo-reviewergit 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/promo-reviewer)<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/promo-reviewer"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/promo-reviewer/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/promo-reviewer"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/promo-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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.
- medium Excessive Agency · line 309 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00033 | $0.02357 |
| Opus 5 | $0.00016 | $0.01179 |
| Sonnet 5 | $0.00007 | $0.00471 |
| Haiku 4.5 | $0.00003 | $0.00236 |
Grade A, and why
promo-reviewer 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 13d 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 — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promo Reviewer Skill
Interactive review and polish of social media copy in album promo/ files. Walk through each post, approve or revise, and write polished results back to the file.
Purpose
After promo templates are populated with platform-specific copy, this skill provides structured review before release. Each post is presented with character counts, hashtag counts, and platform limit compliance. The user chooses actions (approve, revise, shorten, punch up, etc.) and polished copy is written back.
When to Use
- After
/bitwize-music:promo-writergenerates initial copy - After populating promo/ templates (manually or during release prep)
- Before release — final polish pass on social media copy
- User says "review promo copy" or "polish the twitter posts for [album]"
- When promo copy exists but hasn't been reviewed
Position in Workflow
Promo Videos (optional) → [Promo Writer] (or manual) → **[Promo Review]** → Release
Between populating promo templates and release-director.
Supporting Files
- platform-rules.md — Per-platform character limits, hashtag rules, tone guidelines
Workflow
1. Album Resolution
Resolve the album from arguments:
Use MCP find_album with the album name from $ARGUMENTS. If no album specified, check get_session for last album context.
Locate promo directory:
{content_root}/artists/{artist}/albums/{genre}/{album}/promo/
Check which promo files exist and have content:
Glob for promo/*.md in the album directory. For each file, check if it contains populated content (not just template placeholders). A file is "populated" if it contains text beyond the template markers — look for content inside code blocks that isn't [placeholder text].
Report status:
## Promo Copy Status
| Platform | File | Status |
|----------|------|--------|
| Campaign | campaign.md | Populated |
| Twitter/X | twitter.md | Populated |
| Instagram | instagram.md | Template only |
| TikTok | tiktok.md | Not found |
| Facebook | facebook.md | Populated |
| YouTube | youtube.md | Template only |
3 of 6 platforms have copy ready for review.
What ships with it
1 file 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.
- 13d ago First seen · 316 lines · 33 tokens per session scan A e0c24c7a72f3
promo-reviewer 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 33 tokens to every session and 2,357 once invoked, about $0.0002 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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