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 agentmods add skills/zjunlp/skillnet/alfworld-object-placernpx skills add zjunlp/SkillNet --skill alfworld-object-placergit 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-object-placer)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-object-placer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-object-placer.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.00304 |
| Opus 5 | $0.00043 | $0.00152 |
| Sonnet 5 | $0.00017 | $0.00061 |
| Haiku 4.5 | $0.00009 | $0.00030 |
Grade A, and why
alfworld-object-placer 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 6d 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
Instructions
-
Verify Prerequisites:
- Confirm you are currently holding the target object (
{obj}). - Confirm the target receptacle (
{recep}) is present and accessible in the environment. - If the receptacle is a container (e.g., cabinet, drawer), ensure it is open.
- Confirm you are currently holding the target object (
-
Navigate to Receptacle:
- Use the
go to {recep}action to move to the target receptacle's location.
- Use the
-
Execute Placement:
- Use the
put {obj} in/on {recep}action to deposit the held object. - The phrasing (
invson) is determined by the receptacle type (e.g.,infor containers,onfor surfaces/holders). Use the trajectory as a reference.
- Use the
-
Handle Errors:
- If the environment responds with "Nothing happened", the action was invalid. Consult the
references/action_guide.mdfor troubleshooting common failure modes.
- If the environment responds with "Nothing happened", the action was invalid. Consult the
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.
- 6d ago First seen · 20 lines · 85 tokens per session scan A b5df6087df4c
alfworld-object-placer is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 304 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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