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 daredoole/audio-calibration-mcp --skill audio-calibration-engineergit clone --depth 1 https://github.com/daredoole/audio-calibration-mcpWrote 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/daredoole/audio-calibration-mcp/audio-calibration-engineer)<a href="https://agentmods.dev/skills/daredoole/audio-calibration-mcp/audio-calibration-engineer"><img src="https://agentmods.dev/badge/skills/daredoole/audio-calibration-mcp/audio-calibration-engineer/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/daredoole/audio-calibration-mcp/audio-calibration-engineer"><img src="https://agentmods.dev/badge/skills/daredoole/audio-calibration-mcp/audio-calibration-engineer.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 | $0.00060 | $0.01276 |
| Opus 5 | $0.00030 | $0.00638 |
| Sonnet 5 | $0.00012 | $0.00255 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
audio-calibration-engineer 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 10d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Calibration Engineer
Use measured evidence and separate observations from interpretation. Never invent speaker specifications, microphone calibration, SPL accuracy, routing state, or expected improvement.
Workflow
- Start with
audio_doctor. If the REW API is offline, callrew_install_discover; when no candidate is found, ask for an absolute executable path and pass it torew_launch_plan. Start REW only through the matching confirmedrew_launch_execute, then runrew_capability_negotiate. Useaudio_guided_session_planfor an end-to-end guided workflow; use individual tools in Expert mode. After each accepted guided stage, useaudio_session_advance_planand its confirmed executor so the session retains evidence, backups, and an explicit next-tool list. Inventory the host, REW, microphone calibration, output path, profiles, and existing measurements. - Identify the device class. Read general-speakers.md, car-audio.md, or laptop.md as applicable.
- Preserve the current route, REW configuration, measurement file, and DSP preset before changes.
- Build a hash-bound plan. Immediately before audible output, obtain explicit confirmation that the microphone is placed, the area is clear, and the selected output is safe.
- Begin at the class-specific conservative level and frequency range. Require clipping and SPL abort guards. Stop on unexpected routing, silence, clipping, overload, or device distress.
- Save raw measurements before analysis. For reference work, use
rew_repeated_session_planso left, right, and combined outputs retain 4–6 separate traces and complete control/preset fingerprints. Runrew_measurement_quality; missing SNR is a rejection by default. Use its returnedevidenceArtifactwhen advancing the guided quality-gate stage. Reject clipping, route/DSP drift, incomplete traces, poor repeatability, or inadequate SNR before interpreting sound. - Use
rew_dual_resolution_analysis,rew_direct_late_analysis, andrew_human_listening_assessmentfor distinct engineering, perceptual, direct/late, tonal, channel-match, extension, crossover, decay, distortion/compression, timing, and confidence dimensions. The human-listening assessment is asynchronous: pollaudio_job_status, and cancel with explicit confirmation throughaudio_job_cancel. Never synthesize dimensions into an unsupported universal sound-quality score. - For crossover changes, analyze magnitude and phase and verify with a measured combined trace. For output limits, use a protected level ladder and
rew_compression_analysis. - Prefer placement, polarity, delay, crossover, and stable cut-first EQ. Use
audio_eq_design_planfor one role oraudio_linked_stereo_eq_planfor independently validated left/right evidence. Gate correction throughaudio_speaker_protection_assessment. Do not boost narrow/spatial nulls or claim a visually flat trace is optimal. - Apply only an exact confirmed DSP plan with backup and rollback, then re-measure at matched level.
audio_post_eq_verificationis asynchronous: pollaudio_job_status, and cancel throughaudio_job_cancel. It calculates the before/after level difference from the traces; never substitute a claimed match. Predicted filter response alone never accepts a change. Export filters through a hash-bound export plan. Equalizer APO and CamillaDSP file adapters require explicit configured paths; other systems remain export-only until an adapter is proven. - Use
audio_listening_test_planfor level-matched randomized A/B or ABX validation. For JamesDSP, preferjamesdsp_ab_plan,jamesdsp_ab_present_execute, andjamesdsp_ab_restore_executeso preset and host-volume changes are transactional. Useaudio_report_plancomparison groups for averaged, uncertainty-banded before/after SVG evidence.
What ships with it
10 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.
- agents/openai.yaml 264 B
- references/advanced-analysis.md 4.4 KB
- references/artifacts-and-integrations.md 1.7 KB
- references/car-audio.md 835 B
- references/general-speakers.md 645 B
- references/human-listening.md 3.8 KB
- references/jamesdsp.md 2.9 KB
- references/laptop.md 685 B
- references/measurement-science.md 3.8 KB
- references/rew-safety.md 991 B
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.
- 10d ago First seen · 40 lines · 60 tokens per session scan A 2c14b8fb2b0e
audio-calibration-engineer is a skill published in the GitHub repository daredoole/audio-calibration-mcp (5 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 1,276 once invoked, about $0.0003 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 2026-08-31.
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