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 zarlor/suno-band-manager --skill suno-band-profile-managergit clone --depth 1 https://github.com/zarlor/suno-band-managerWrote 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/zarlor/suno-band-manager/suno-band-profile-manager)<a href="https://agentmods.dev/skills/zarlor/suno-band-manager/suno-band-profile-manager"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-band-profile-manager/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/zarlor/suno-band-manager/suno-band-profile-manager"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-band-profile-manager.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 | $0.00072 | $0.01688 |
| Opus 5.5 | $0.00029 | $0.00675 |
| Sonnet 5.5 | $0.00014 | $0.00338 |
| Haiku 4.5 | $0.00007 | $0.00169 |
Grade A, and why
suno-band-profile-manager 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 22d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Band Profile Manager
Act as a music producer's assistant, part creative collaborator and part technical librarian. You keep band identity profiles: the sonic brand book (genre, vocal character, production style, creative boundaries, language, songwriter voice) that the Style Prompt Builder, Lyric Transformer and Feedback Elicitor read for every song. Write every field for those readers: vague profiles produce vague songs. A sibling decision log, {band_profiles_folder}/{slug}.decision-log.md, carries each band's reasoning across the months-long life of its profile.
Conventions
- Run scripts as
uv run {skill-root}/scripts/<name>.py … --project-root {project-root}, neverpython3(it skips the dependencies a script declares). They readband_profiles_folderandsongbook_folderfrom module config themselves (--profiles-dir/--songbook-dironly to override);--helplists each one's flags. A script that exits non-zero has written nothing; report its reason. - Every profile write goes through
scripts/apply-profile.py. It keeps the owner's YAML comments (craft notes live there), key order and quoting, appends to list fields instead of replacing them, and trims to the schema caps. A hand-written profile loses all three. - A band name becomes a slug through
scripts/list-profiles.py --check "{name}": use itsslugwhenexists; onambiguous, show thematchesand ask; when not found, offer thesuggestionsor Create. A new band's slug comes fromscripts/validate-profile.py --derive-filename "{name}".
On Activation
- Resolve customization. Run
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow(always run it; never decide it's missing from a directory listing, which may be cut short). If it can't run, usecustomize.toml's defaults and say once that setting up BMad (invoke thebmadskill) restores overrides. Run any{workflow.activation_steps_prepend}; load{workflow.persistent_facts}(file:entries are paths or globs). A user changes a value (say,on_complete) by invoking thebmad-customizeskill naming the key; if it isn't installed, offernpx skills add bmad-code-org/BMAD-METHOD --skill bmad-customize. - Load config. Always run
uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root} --key modules.suno(never judge it missing from a listing) forband_profiles_folder(default{project-root}/docs/band-profiles),songbook_folder(default{project-root}/docs/songbook) andsuno_tier; missing values take the defaults. If the resolver is missing, BMad isn't set up here: use the defaults and offerbmad setup suno(thebmadskill) once in your first reply, even when the user opened with a request — in a headless run, as onewarningsentry instead. - Headless (
--headless/-H): run any{workflow.activation_steps_append}, skip greeting and routing, and readreferences/headless.mdfully and follow it. Write no text at all until the reply: every tool call goes out with no words beside it (no "Now emitting…", no progress note), and the reply starts with{and ends with}, nothing before or after it. - Otherwise greet the user in their language (a health check folds the greeting into its verdict line, which comes first), run any
{workflow.activation_steps_append}, and route. A route that names files: read them fully, then follow the first.
What ships with it
37 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.
- bmod.toml 549 B
- customize.toml 1.7 KB
- evals/fixtures/.gitignore 107 B
- evals/fixtures/cases.json 14 KB
- evals/fixtures/docs/band-profiles/cinder-hollow.decision-log.md 493 B
- evals/fixtures/docs/band-profiles/cinder-hollow.yaml 735 B
- evals/fixtures/docs/band-profiles/hollow-pines.decision-log.md 403 B
- evals/fixtures/docs/band-profiles/neon-ferry.decision-log.md 391 B
- evals/fixtures/docs/band-profiles/neon-ferry.yaml 1.4 KB
- evals/fixtures/docs/songbook/cinder-hollow/ash-road.md 148 B
- evals/triggers.json 1.8 KB
- references/create-profile.md 5.8 KB
- references/edit-profile.md 3.6 KB
- references/headless.md 5.9 KB
- references/health-and-voice.md 3.3 KB
- references/playlist-yaml.md 2.3 KB
- references/profile-schema.md 6.6 KB
- scripts/_shared/__init__.py 0 B runs code
- scripts/_shared/bmad_config.py 2.9 KB runs code
- scripts/_shared/suno_constants.py 7.3 KB runs code
- scripts/apply-profile.py 37 KB runs code
- scripts/diff-profiles.py 6.0 KB runs code
- scripts/list-profiles.py 7.6 KB runs code
- scripts/profile_paths.py 2.8 KB runs code
- scripts/scaffold-playlist.py 12 KB runs code
- scripts/tests/__init__.py 0 B runs code
- scripts/tests/fake_resolver.py 1.5 KB runs code
- scripts/tests/fixtures/commented-profile.yaml 1.6 KB
- scripts/tests/test_apply_profile.py 25 KB runs code
- scripts/tests/test_diff_profiles.py 5.2 KB runs code
- scripts/tests/test_list_profiles.py 13 KB runs code
- scripts/tests/test_profile_paths.py 4.0 KB runs code
- scripts/tests/test_scaffold_playlist.py 12 KB runs code
- scripts/tests/test_tier_features.py 12 KB runs code
- scripts/tests/test_validate_profile.py 31 KB runs code
- scripts/tier-features.py 19 KB runs code
- scripts/validate-profile.py 30 KB runs code
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.
- 22d ago Changed · -30 lines · +22 tokens per session scan B → A 8fc1efb33251
- 1mo ago Changed · -127 lines 98c87e64b152
- 1mo ago Changed 2d587ac723a3
- 2mo ago First seen · 209 lines · 50 tokens per session scan B c4208550e48a
suno-band-profile-manager is a skill published in the GitHub repository zarlor/suno-band-manager (14 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 1,688 once invoked, about $0.0003 per session on Opus 5.5. 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.
suno-band-profile-manager compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| suno-band-profile-managerzarlor/suno-band-manager | Skill | 14 | 2d ago | MIT | A | 72 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |