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 Teddy563/mcwrench --skill pterodactyl-opsgit clone --depth 1 https://github.com/Teddy563/mcwrenchWrote 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/teddy563/mcwrench/pterodactyl-ops)<a href="https://agentmods.dev/skills/teddy563/mcwrench/pterodactyl-ops"><img src="https://agentmods.dev/badge/skills/teddy563/mcwrench/pterodactyl-ops/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/teddy563/mcwrench/pterodactyl-ops"><img src="https://agentmods.dev/badge/skills/teddy563/mcwrench/pterodactyl-ops.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 | $0.00171 | $0.01074 |
| Opus 5.5 | $0.00068 | $0.00430 |
| Sonnet 5.5 | $0.00034 | $0.00215 |
| Haiku 4.5 | $0.00017 | $0.00107 |
Grade A, and why
pterodactyl-ops 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 2mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pterodactyl / Pelican Ops
Run and configure Minecraft servers on Pterodactyl Panel and Pelican Panel (a fork by the
former Pterodactyl team, mid-2024; still beta as of 2026-06, relicensed AGPLv3). Pelican
imports Pterodactyl eggs unmodified and keeps the API backward-compatible, so this skill
applies to both — note the few differences in references/panel-footguns.md.
Architecture (one-screen model)
- Panel (web UI) + Wings (daemon, one per node). Each server is an isolated Docker
container; files live at
/home/container(host bind-mount under/var/lib/pterodactyl/volumes/<uuid>). - The STARTUP command substitutes egg variables (
{{SERVER_JARFILE}},{{SERVER_MEMORY}}, …) from environment variables at boot. Console/stats stream to the panel. - Allocations: the primary allocation is the game port. Anything else (RCON, query, Geyser, Dynmap) needs a secondary allocation added in the Network tab.
Tasks
- RCON →
references/rcon-setup.md. Key point: add a secondary allocation first, then setenable-rcon=true/rcon.port=<that port>/ a strongrcon.passwordinserver.properties. Confirm with the user before enabling RCON, and never expose the port publicly. - Memory / OOM → if the container dies with "Cannot allocate memory" or the cgroup OOM-kills
it: the JVM heap +
-XX:+AlwaysPreTouchis claiming the full container limit at boot. SetXmxbelow the panel's allocated memory (leave ~1–1.5 GB / 10–15% headroom for JVM native memory) and/or dropAlwaysPreTouch. The panel{{SERVER_MEMORY}}value is the container limit, not a safe heap size. (Seeperformance-tuningfor the full flag discussion.) - Backups →
references/backup-strategies.md. Panel/Wings backups archive the live filesystem and are NOT atomic — quiesce writes (/save-offthen/save-all flushvia console or the/commandAPI) before taking one, or stop the server. - Editing config → edit while stopped (a running server can overwrite files on shutdown), then start. Use SFTP for large/bulk file transfers the web file manager handles poorly.
- Automation → the client API (below) for scripted file edits, commands, and power actions.
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.
- 2mo ago First seen · 70 lines · 171 tokens per session scan A 4b6c38846eb8
pterodactyl-ops is a skill published in the GitHub repository Teddy563/mcwrench (1 stars, last pushed 4d ago), licensed MIT. It adds 171 tokens to every session and 1,074 once invoked, about $0.0007 per session on Opus 5.5. 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.
pterodactyl-ops compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pterodactyl-opsTeddy563/mcwrench | Skill | 1 | 4d ago | MIT | A | 171 | Claude Code |
| apple-containersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 37 | Claude Code |
| argocd-gitopssickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 20 | Claude Code |
| azd-deploymentsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 29 | Claude Code |
| add-iron-proxynanocoai/nanoclaw | Skill | 31k | yesterday | MIT | A | 52 | Claude Code |
| manage-mountsnanocoai/nanoclaw | Skill | 31k | yesterday | MIT | A | 47 | Claude Code |
| develop-web-gamenetease-youdao/LobsterAI | Skill | 6.2k | yesterday | MIT | A | 64 | Codex |