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-operatorgit 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-operator)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-operator"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-operator.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 | $0.00099 | $0.00539 |
| Opus 5 | $0.00049 | $0.00269 |
| Sonnet 5 | $0.00020 | $0.00108 |
| Haiku 4.5 | $0.00010 | $0.00054 |
Grade A, and why
alfworld-receptacle-operator 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
Skill: Receptacle Operator
When to Use
Use this skill when you need to:
- Access a closed receptacle to place an object inside or take an object out.
- Secure an open receptacle after accessing it (e.g., to conserve energy, maintain cleanliness, or complete a task step).
Core Decision Logic
- Check the receptacle's state from the observation.
- If it reports "is closed" or "is open", note the state.
- If the interior is visible (e.g., "In it, you see..."), it is open.
- Choose action based on goal:
- Goal requires interior access (e.g., "put in microwave", "take from fridge"):
- If closed →
open {recep} - If open → proceed with next step (e.g.,
putortake)
- If closed →
- Goal requires securing receptacle (e.g., after accessing, or for efficiency):
- If open →
close {recep} - If closed → no action needed
- If open →
- Goal requires interior access (e.g., "put in microwave", "take from fridge"):
- Execute the action using the exact format:
Action: open {recep}orAction: close {recep}
Example from Trajectory
- Task: "cool some tomato and put it in microwave"
- Step 1: At closed fridge →
Action: open fridge 1 - Step 2: After checking interior →
Action: close fridge 1(for efficiency) - Step 3: At closed microwave →
Action: open microwave 1
Important Notes
- Always verify the receptacle state from the latest observation before acting.
- The skill only handles
openandcloseactions. Other actions (liketake,put,cool) are separate skills. - If "Nothing happened" is observed after your action, the receptacle may already be in that state—re-check and adjust.
For detailed state diagrams and edge cases, see the reference documentation.
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.
- 8d ago First seen · 37 lines · 99 tokens per session scan A 57da9f7c8a0a
alfworld-receptacle-operator is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 3d ago), licensed MIT. It adds 99 tokens to every session and 539 once invoked, about $0.0005 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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