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 Pexeso/ai-agents --skill ai-song-detectorgit clone --depth 1 https://github.com/Pexeso/ai-agentsWrote 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/pexeso/ai-agents/ai-song-detector)<a href="https://agentmods.dev/skills/pexeso/ai-agents/ai-song-detector"><img src="https://agentmods.dev/badge/skills/pexeso/ai-agents/ai-song-detector/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/pexeso/ai-agents/ai-song-detector"><img src="https://agentmods.dev/badge/skills/pexeso/ai-agents/ai-song-detector.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 | $0.00154 | $0.02246 |
| Opus 5 | $0.00077 | $0.01123 |
| Sonnet 5 | $0.00031 | $0.00449 |
| Haiku 4.5 | $0.00015 | $0.00225 |
Grade A, and why
pex-ai-song-detector 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pex AI Song Detector
Classify audio files as AI-generated or human-made music via the Pex AI Song Detector API. The API also identifies the AI generation platform (Suno, Udio, Mureka, Sonauto, ElevenLabs, Boomy, etc.) when possible.
Documentation: https://docs.pex.com/ai-song-detector/overview
Quick facts
- One prediction per file — submit a single song, get one result.
- Two input methods — upload a file directly, or pass a public URL.
- Auth — OAuth 2.0 Client Credentials. Token is valid for 2 hours; reuse it across requests.
- Supported formats — MP3, WAV, FLAC, AAC, M4A/MP4, OGG, WEBM, and other common audio formats.
- Duration limits — minimum 30 seconds, maximum 15 minutes.
- File size limit — 100 MB.
- Privacy — submitted audio is processed and immediately discarded; never stored or used for training.
What the user needs to provide
- Client credentials — a
CLIENT_IDandCLIENT_SECRETissued by Pex. If the user hasn't provided them, ask before proceeding. - Audio input — either a local file path or a publicly accessible URL to the audio.
API workflow
Step 1 — Authenticate
POST https://api.ae.pex.com/oauth2/token
- Auth: HTTP Basic Auth with
CLIENT_ID/CLIENT_SECRET. - Body:
grant_type=client_credentials(form-encoded). - Returns: JSON with
access_token(valid 2 hours).
Step 2 — Submit audio
Choose the endpoint that matches the input type.
Option A — File upload:
POST https://api.ae.pex.com/v1/ai-detector/detect
Authorization: Bearer <access_token>
Content-Type: multipart/form-data
file=@<path_to_audio_file>
Option B — URL:
POST https://api.ae.pex.com/v1/ai-detector/detect-url
Authorization: Bearer <access_token>
Content-Type: application/x-www-form-urlencoded
url=<publicly_accessible_audio_url>
Step 3 — Interpret the response
A successful response (HTTP 200, status: "ok") returns:
| Field | Type | Meaning |
|---|---|---|
request_id |
integer | Unique request identifier (useful for support). |
status |
string | "ok" when classification succeeded (see Status codes below for others). |
message |
string | Human-readable explanation. |
is_ai |
boolean | true if the model classifies the song as AI-generated. Present only when status is ok. |
ai_score |
float | Score in [0, 1] — how strongly the model considers the audio AI-generated. Useful for sorting/QA, not a calibrated probability. Present only when status is ok. |
predicted_model |
string | AI platform name (e.g. "suno", "udio"). May be null even when is_ai is true if attribution confidence is low. Present only when status is ok. |
predicted_model_score |
float | Confidence score for the predicted platform. Present only when predicted_model is set. |
What ships with it
3 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.
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 · 186 lines · 154 tokens per session scan A 3b922848b562
pex-ai-song-detector is a skill published in the GitHub repository Pexeso/ai-agents (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 154 tokens to every session and 2,246 once invoked, about $0.0008 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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