PeonPing/peon-ping is a notification tool that alerts users with game-character voice lines and on-screen banners when an AI coding agent needs attention or finishes work. It helps people monitor terminal-based agents without constantly watching the terminal. Its catalogue add-ons configure or extend these notifications for coding agents and MCP clients.
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 PeonPing/peon-ping --skill peon-ping-remixgit clone --depth 1 https://github.com/PeonPing/peon-pingWrote 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/peonping/peon-ping/peon-ping-remix)<a href="https://agentmods.dev/skills/peonping/peon-ping/peon-ping-remix"><img src="https://agentmods.dev/badge/skills/peonping/peon-ping/peon-ping-remix/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/peonping/peon-ping/peon-ping-remix"><img src="https://agentmods.dev/badge/skills/peonping/peon-ping/peon-ping-remix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00116 | $0.00930 |
| Opus 5 | $0.00058 | $0.00465 |
| Sonnet 5 | $0.00023 | $0.00186 |
| Haiku 4.5 | $0.00012 | $0.00093 |
Grade A, and why
peon-ping-remix 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
peon-ping-remix
You are executing ONE reroll job for a draft PeonPing pack. Work only inside
the job's draft_dir. Do not touch any other directory, do not install
anything, do not commit anything.
If invoked without a job-file path
This skill is internal: it is only ever invoked headlessly by the peon eval
server with a job-file path. If you were invoked WITHOUT one (a human ran
this directly), do nothing except tell them this skill runs automatically
from the eval server and that they should run peon eval <pack> instead.
Do not touch any files. Exit.
Procedure
- Read the job JSON at the path you were given:
scope("sound" or "pack"),category,index,caption,draft_dir. - Read
<draft_dir>/openpeon.jsonand<draft_dir>/prompts.json. Ifprompts.jsonis missing, fail with a clear message — you cannot reroll without the current prompts. - Determine the target sound files: scope "sound" → the one file at
categories[category].sounds[index].file; scope "pack" → every file in every category. - For each target, author a NEW render input honoring the caption:
- Keep the pack's established aesthetic (read the other prompts for context). The caption is a correction, not a reset: "too harsh, want softer" means adjust intensity, keep the instrument palette unless the caption says otherwise.
- sfx entries: rewrite
prompt. tts entries: rewritetext(keepvoice_id— never change a pack's voice in a reroll). - If the caption is empty, produce a fresh variation of the same idea.
- Render each target: write the new input as a job file under
<draft_dir>/jobs/(e.g.<draft_dir>/jobs/render-job-<category>_<index>.json—approveprunes everything underjobs/, so a render input left at the draft root would ship as junk in the approved pack) and runpython3 <peon-ping>/scripts/pack-render.py --job <file>withoutset to the target WAV path (overwrite in place). The renderer exits nonzero on silent/failed renders — if it fails, STOP and exit nonzero yourself with its stderr; do not half-update the log. (Resolve<peon-ping>as the scripts directory next to the running peon install, in order:$PEON_DIR/scriptswhen set, else${CLAUDE_CONFIG_DIR:-$HOME/.claude}/hooks/peon-ping/scripts, else the repo checkout you were invoked from.) - After ALL targets render successfully: update
prompts.jsonwith the new inputs, and append one entry per rendered sound to<draft_dir>/eval-log.json(create as[]if missing):{"ts": "<ISO8601>", "scope", "category", "index", "caption", "old_prompt", "new_prompt", "file"}. - Print a one-line summary per rendered sound. Exit 0.
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 · 66 lines · 116 tokens per session scan A ca8b98d5f1f1
peon-ping-remix is a skill published in the GitHub repository PeonPing/peon-ping (5,022 stars, last pushed 10d ago), licensed MIT. It adds 116 tokens to every session and 930 once invoked, about $0.0006 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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