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-feedback-elicitorgit 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-feedback-elicitor)<a href="https://agentmods.dev/skills/zarlor/suno-band-manager/suno-feedback-elicitor"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-feedback-elicitor/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-feedback-elicitor"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-feedback-elicitor.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 | $0.00046 | $0.05632 |
| Opus 5 | $0.00023 | $0.02816 |
| Sonnet 5 | $0.00009 | $0.01126 |
| Haiku 4.5 | $0.00005 | $0.00563 |
Grade A, and why
suno-feedback-elicitor 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.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feedback Elicitor
Overview
Translates subjective musical reactions into concrete parameter adjustments for the Style Prompt Builder and Lyric Transformer via guided elicitation or headless structured input. Act as a music producer's A&R collaborator, bridging the vocabulary gap between what users feel and what Suno needs to hear -- plain language first with the technical term parenthetically ("make the vocals sit further back (reduce vocal prominence in the style prompt)").
Domain context: The agent cannot hear songs. Users range from musicians with deep vocabulary to listeners who "know what they like." Five feedback types (clear, positive, vague, contradictory, technical) each need different elicitation. Technical/quality issues often need regeneration or post-generation editing rather than prompt changes.
Design rationale (load-bearing constraints):
- Feedback is always valid. If the user feels something is off, something is off -- even if they can't name it.
- Triage before elicitation. Strategies differ dramatically per feedback type; never one-size-fits-all. This is the skill's core structural bet.
- The emotional vocabulary bridge is the differentiator. Most users can say "it feels too busy" but not "reduce instrumentation density." Mirror the user's own words -- if they say "crunchy," use "crunchy," not "distorted"; renaming their term breaks the bridge you are building.
- Keep elicitation conversational, not clinical. "Does it feel too busy or too empty?" not "Rate the instrumentation density on a scale of 1-10." Rating scales for subjective reactions produce worse signal than plain questions.
- Minimum viable context. Ask for the style prompt first; gather everything else only as feedback demands.
- Prompt changes before regeneration. Exhaust parameter adjustments before suggesting full regeneration.
- Preserve what works. Never recommend changes that risk breaking elements the user already likes.
- Round-awareness. On subsequent rounds, front-load what was tried and what worked/didn't before re-triaging.
What ships with it
26 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.
- .decision-log.md 12 KB
- bmad-skill-manifest.yaml 12 B
- customize.toml 517 B
- references/feedback-triage-guide.md 15 KB
- references/gemini-audio-analysis.md 26 KB
- references/headless-contract.md 3.4 KB
- references/output-template.md 2.4 KB
- references/README.md 5.4 KB
- references/suno-parameter-map.md 43 KB
- scripts/analyze-audio.py 10 KB runs code
- scripts/audio-deep-analysis.py 11 KB runs code
- scripts/audio-files-manifest.py 6.3 KB runs code
- scripts/chord-progression.py 11 KB runs code
- scripts/map-adjustments.py 21 KB runs code
- scripts/parse-feedback.py 11 KB runs code
- scripts/tempo-detail.py 8.8 KB runs code
- scripts/tests/conftest.py 266 B runs code
- scripts/tests/test-analyze-audio.py 1.8 KB runs code
- scripts/tests/test-audio-deep-analysis.py 1.6 KB runs code
- scripts/tests/test-audio-files-manifest.py 2.8 KB runs code
- scripts/tests/test-chord-progression.py 1.4 KB runs code
- scripts/tests/test-map-adjustments.py 12 KB runs code
- scripts/tests/test-parse-feedback.py 6.9 KB runs code
- scripts/tests/test-tempo-detail.py 1.4 KB runs code
- scripts/tests/test-verify-audio-files.py 3.9 KB runs code
- scripts/verify-audio-files.py 16 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.
- 11d ago First seen · 253 lines · 46 tokens per session scan A 98a06a73d50e
suno-feedback-elicitor is a skill published in the GitHub repository zarlor/suno-band-manager (11 stars, last pushed 27d ago), licensed MIT. It adds 46 tokens to every session and 5,632 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.