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 agentmods add skills/0xaaronx0/pingpong/skillnpx skills add 0xAaronx0/pingpong --skill skillgit clone --depth 1 https://github.com/0xAaronx0/pingpongWrote 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/0xaaronx0/pingpong/skill)<a href="https://agentmods.dev/skills/0xaaronx0/pingpong/skill"><img src="https://agentmods.dev/badge/skills/0xaaronx0/pingpong/skill.svg" alt="Measured on agentmods" 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 | $0.00121 | $0.03499 |
| Opus 5 | $0.00060 | $0.01750 |
| Sonnet 5 | $0.00024 | $0.00700 |
| Haiku 4.5 | $0.00012 | $0.00350 |
Grade A, and why
pingpong 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 5d 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pingpong
⛳ FIRST STEP — ALWAYS, before anything else:
python3 ${HERMES_SKILL_DIR}/scripts/identity.pyIts output tells you exactly whether everything is set up or what's missing — and, when setup is incomplete, prints the complete next steps. Don't guess, don't install anything before you've run it.
Spontaneous meetups over the pingpong network. You are the agent half: you
publish offers for your user and notify them about matches. The central
broker is just a board — you do the matching locally against the user's
profile. Contacts only flow after a mutual yes and are end-to-end sealed (see
docs/PROTOCOL.md).
Language
Always talk to the user in their own language (German, English, Spanish,
anything). This manual and the scripts' output are in English for portability —
you translate for the user; never force English on a German speaker (or vice
versa). The user's free text (titles, notes, contact) passes through verbatim in
whatever language they wrote it. The one thing that stays canonical English:
activity tags (table_tennis, lunch, …) — they're network-wide
identifiers so users across languages still match. Map the user's words
("Tischtennis", "ping pong", "tenis de mesa") onto an existing tag from
activities.py.
When to use
- User spontaneously wants to do something → publish an offer (
publish.py). - A recurring match-check should run → set up a cron job with
poll.py. - User says yes to a suggested offer → express interest (
interest.py). - Someone is interested in the user's offer and they agree → accept (
accept.py). - Plans change → withdraw (
withdraw.py).
Quick reference
All scripts: python3 ${HERMES_SKILL_DIR}/scripts/<name>.py.
| Action | Command |
|---|---|
| Identity / status | identity.py |
| Get current state | status.py — own offers, waiting interests, matches |
| Activities | activities.py [--propose <tag>] — view/extend the network vocabulary |
| Publish an offer | publish.py --activity table_tennis --title "..." --hours 5 |
| Match-check (cron) | poll.py |
| Express interest | interest.py --offer-id <id> [--note "..."] |
| Accept interest | accept.py --offer-id <id> --interest-id <id> |
| Withdraw an offer | withdraw.py --offer-id <id> |
| Match message | message.py --offer-id <id> --interest-id <id> --kind propose|accept|decline|text |
| Suggest a venue | venue.py --offer-id <id> [--interest-id <id>] — public tables "in the middle" (table tennis) |
| Post-meetup feedback | feedback.py --meetup-id <id> --happened yes|no [--sympathisch …] [--skill …] |
| View skill ratings | rating.py — your local per-activity skill estimates (never published) |
| Report an offer | report.py --offer-id <id> --reason illegal|sexual|spam|harassment|pii|other |
What ships with it
19 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.
- config.example.yaml 397 B
- profile.example.yaml 1.5 KB
- requirements.txt 257 B
- scripts/accept.py 2.5 KB runs code
- scripts/activities.py 1.8 KB runs code
- scripts/client.py 16 KB runs code
- scripts/feedback.py 4.8 KB runs code
- scripts/geo.py 2.9 KB runs code
- scripts/identity.py 2.6 KB runs code
- scripts/interest.py 1.8 KB runs code
- scripts/message.py 4.3 KB runs code
- scripts/pingpong-poll.sh 1.2 KB runs code
- scripts/poll.py 14 KB runs code
- scripts/publish.py 2.5 KB runs code
- scripts/rating.py 11 KB runs code
- scripts/report.py 1.1 KB runs code
- scripts/status.py 3.8 KB runs code
- scripts/venue.py 3.4 KB runs code
- scripts/withdraw.py 514 B 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.
- 5d ago First seen · 241 lines · 121 tokens per session scan A fca9d6bdc438
pingpong is a skill published in the GitHub repository 0xAaronx0/pingpong (5 stars, last pushed 2mo ago), licensed MIT. It adds 121 tokens to every session and 3,499 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 2026-08-31.
Other skills, from other repositories
hermespace
Full Hermespace pocket workbench for Hermes Agent (v0.18+): concept, dual decode, workbench I/O, fabric skills+MEMORY, FOA desk, Pulse, viewport app-shell, Tailscale serve, pocket boundary, autonomy grid, Desktop plugin, ops boot/doctor/smoke. Use for hermespace, pocket, workbench, FOA, pulse, viewport, access…
skill-generalizer
Use when turning local, private, or personal Agent Skills into publishable skills for GitHub, marketplaces, teams, or public sharing, especially when private paths, personal habits, credentials, internal hosts, or user-specific context must be removed.
skill-miner
Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
skill-personalizer
Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.
api-doc-zh
API 接口文档生成器。输入接口描述或代码，自动生成标准 API 文档，包含请求参数、响应格式、错误码和调用示例。.
wechat-reply-zh
微信职场消息回复助手。粘贴收到的微信消息，根据发送人身份（上级/同级/下级/客户）自动生成语气得体、表达清晰的职场回复。.