SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.
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 zjunlp/SkillNet --skill alfworld-receptacle-closergit clone --depth 1 https://github.com/zjunlp/SkillNetWrote 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/zjunlp/skillnet/alfworld-receptacle-closer)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-closer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-closer/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/zjunlp/skillnet/alfworld-receptacle-closer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-closer.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 | $0.00070 | $0.00317 |
| Opus 5 | $0.00035 | $0.00159 |
| Sonnet 5 | $0.00014 | $0.00063 |
| Haiku 4.5 | $0.00007 | $0.00032 |
Grade A, and why
alfworld-receptacle-closer 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.
What it actually says
Skill: Receptacle Closer
When to Use
Use this skill immediately after you have finished inspecting the contents of an open receptacle (e.g., a drawer, cabinet, or container) and have determined you no longer need it to remain open. This is a cleanup action to maintain a tidy environment.
Core Instruction
- Identify the Target: The target is the receptacle you just finished searching. It must be open.
- Execute Action: Perform the
closeaction on the identified receptacle. - Format: Your output must follow the standard action format:
Action: close {recep}
Example from Trajectory
- Context: After opening and inspecting
drawer 2(finding it empty), the agent closed it. - Thought: "I should close drawer 2 to keep the room tidy and continue my search."
- Action:
close drawer 2
Key Principle
This is a low-cognitive-load, procedural step. Do not overthink it. If you opened a receptacle to look inside and are done with it, close it.
What ships with it
1 file 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.
- 10d ago First seen · 22 lines · 70 tokens per session scan A 7ad6bd125969
alfworld-receptacle-closer is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 317 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.
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