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-loggit 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-log)<a href="https://agentmods.dev/skills/peonping/peon-ping/peon-ping-log"><img src="https://agentmods.dev/badge/skills/peonping/peon-ping/peon-ping-log.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00322 |
| Opus 5 | $0.00032 | $0.00161 |
| Sonnet 5 | $0.00013 | $0.00064 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
peon-ping-log 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 8d 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.
What it actually says
peon-ping-log
Log exercise reps for the Peon Trainer.
Usage
The user provides a number and exercise type. Run the following command using the Bash tool:
bash ~/.claude/hooks/peon-ping/peon.sh trainer log <count> <exercise>
Where:
<count>is the number of reps (e.g.25)<exercise>ispushupsorsquats
Examples
bash ~/.claude/hooks/peon-ping/peon.sh trainer log 25 pushups
bash ~/.claude/hooks/peon-ping/peon.sh trainer log 30 squats
Report the output to the user. The command will print the updated rep count and play a trainer voice line.
If trainer is not enabled
If the output says trainer is not enabled, tell the user to run /peon-ping-toggle or peon trainer on first.
Check status
If the user asks for their progress after logging, also run:
bash ~/.claude/hooks/peon-ping/peon.sh trainer status
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.
- 8d ago First seen · 43 lines · 64 tokens per session scan A a89adb051284
peon-ping-log is a skill published in the GitHub repository PeonPing/peon-ping (5,021 stars, last pushed 8d ago), licensed MIT. It adds 64 tokens to every session and 322 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 2026-08-30.
Other skills, from other repositories
project-memory-keeper
Analyzes the last session to log progress, extract lessons learned, and save them to the project memory instructions.
meeting-notes-to-tasks
Converts unstructured meeting notes into structured, assigned, time-bounded action items. Never leave a meeting without knowing who does what by when.
bash
Bash shell scripting for automation, pipelines, and system administration. Use for .sh files and Linux scripting.
full-output-enforcement
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
idea-refine
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or…
ai-engineering-toolkit
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.