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-findergit 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-finder)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-receptacle-finder"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-finder/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-finder"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-receptacle-finder.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 | $0.00076 | $0.00637 |
| Opus 5 | $0.00038 | $0.00318 |
| Sonnet 5 | $0.00015 | $0.00127 |
| Haiku 4.5 | $0.00008 | $0.00064 |
Grade A, and why
alfworld-receptacle-finder 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 13d 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
Trigger: Use this skill when you have an object in your inventory that needs to be stored or placed, and you must find a suitable receptacle (e.g., shelf, table, basin).
Core Procedure
- Identify Target Object: Confirm the object you are holding and its state (e.g.,
soapbar 1,clean). - Survey Environment: Use
go to {recep}actions to navigate to and visually inspect candidate receptacles from the observation list. - Evaluate Candidates: For each receptacle, assess its suitability:
- Primary Goal: Find an empty receptacle.
- Fallback: If no empty receptacle is available, identify one that can logically accommodate the object without conflict (e.g., a shelf with a tissuebox may still have space for a soapbar).
- Select & Place: Navigate to the chosen suitable receptacle and execute
put {obj} in/on {recep}.
Key Considerations
- Object State: Ensure the object meets any required pre-conditions (e.g.,
clean) before searching for a receptacle. Use skills likecleanif necessary. - Efficiency: Prioritize receptacles that are logically appropriate for the object (e.g., a
shelffor asoapbarover atoilet). - Observation Parsing: Carefully read the observation after each
go toaction. The line "On the {recep}, you see..." lists its contents. "you see nothing." indicates it is empty. - Invalid Actions: If an action fails ("Nothing happened"), re-evaluate your target and try a different receptacle or confirm the object is in your inventory.
Example
Scenario: You are holding soapbar 1 (clean) and need to find an empty shelf to place it.
Thought: I need to find an empty shelf for the soapbar. I'll check shelf 1 first.
Action: go to shelf 1
Observation: On the shelf 1, you see a tissuebox 1.
Thought: Shelf 1 has items. Let me try shelf 2.
Action: go to shelf 2
Observation: On the shelf 2, you see nothing.
Action: put soapbar 1 in/on shelf 2
Observation: You put the soapbar 1 in/on the shelf 2.
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.
- 13d ago First seen · 42 lines · 76 tokens per session scan A 6538e849ec61
alfworld-receptacle-finder is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed 2d ago), licensed MIT. It adds 76 tokens to every session and 637 once invoked, about $0.0004 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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