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-locate-target-objectgit 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-locate-target-object)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-locate-target-object"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-locate-target-object.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 | $0.00074 | $0.00726 |
| Opus 5 | $0.00037 | $0.00363 |
| Sonnet 5 | $0.00015 | $0.00145 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
alfworld-locate-target-object 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Locate Target Object
Purpose
Use this skill when your goal requires a specific object and you need to find it. The skill directs you to a likely receptacle, inspects it, and confirms if the target is present.
Core Workflow
- Identify Target & Suspected Location: Determine the object you need and the most logical place to find it (e.g., food in the
fridge, utensils in adrawer). - Navigate: Go to the suspected receptacle.
- Inspect: If the receptacle is closed, open it.
- Locate: Visually scan the contents for the target object.
- Report: Output the object's location if found, or note its absence.
Instructions
Follow this sequence of actions and reasoning.
Thought: I need to find a <target_object>. The most likely place for it is the <suspected_receptacle>.
Action: go to <suspected_receptacle>
Observation: [You arrive at the receptacle. It may be open or closed.]
Thought: I am at the <suspected_receptacle>. To see inside, I must open it.
Action: open <suspected_receptacle>
Observation: [The receptacle opens, revealing its contents.]
Thought: The <suspected_receptacle> is open. I will now look for the <target_object> among its contents.
- If the object is visible: I have located the
<target_object>in the<suspected_receptacle>. My location task is complete. - If the object is not visible: The
<target_object>is not in the<suspected_receptacle>. I must consider the next most likely location.
Key Principles
- Contextual Guessing: Use common sense to guess the initial search location (e.g.,
fridgefor perishables,cabinetfor dry goods). - Sequential Access: You must
go toa location before you canopenit. - Visual Confirmation: Only trust the
Observationafter opening a receptacle to confirm an object's presence or absence.
Example
Scenario: You need to find a potato for a heating task.
Thought: I need to find a potato. Potatoes are commonly stored in the fridge.
Action: go to fridge 1
Observation: The fridge 1 is closed.
Action: open fridge 1
Observation: You open the fridge 1. The fridge 1 is open. In it, you see a potato 1, a lettuce 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.
- 8d ago First seen · 55 lines · 74 tokens per session scan A 79400f6136b7
alfworld-locate-target-object is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 3d ago), licensed MIT. It adds 74 tokens to every session and 726 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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