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/scienceworld-object-placernpx skills add zjunlp/SkillNet --skill scienceworld-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/scienceworld-object-placer)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-object-placer"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-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 | $0.00068 | $0.00417 |
| Opus 5 | $0.00034 | $0.00209 |
| Sonnet 5 | $0.00014 | $0.00083 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
scienceworld-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 2d 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: Object Placer
Purpose
Move an object into the correct container based on a prior classification or assessment result. This is the final step in conditional sorting workflows.
Core Workflow
- Confirm Assessment Result: Know which container corresponds to which classification (e.g., "blue box" = conductive, "orange box" = non-conductive).
- Acquire Object (if needed):
pick up OBJif the target is not already in inventory. - Execute Placement:
move OBJ to OBJ— place the object in the correct container. - Verify Placement:
look at <CONTAINER>to confirm the object is now inside.
Key Actions
| Action | Purpose |
|---|---|
pick up OBJ |
Acquire object if not in inventory |
move OBJ to OBJ |
Place object into destination container |
look at OBJ |
Verify placement succeeded |
Example
Task: "Determine if metal pot is electrically conductive. If conductive, place in the blue box. If nonconductive, place in the orange box."
- Assessment complete: circuit test confirmed metal pot is conductive.
pick up metal pot(if not already held)move metal pot to blue boxlook at blue box— confirms: "In the blue box is: a metal pot"
Important Notes
- The classification or assessment must be completed before invoking this skill.
- Always verify placement with
look at— do not assume success. - Container names vary per task (blue box, orange box, etc.) — match them to the task instructions.
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.
- 2d ago First seen · 35 lines · 68 tokens per session scan A 69148edc9d07
scienceworld-object-placer is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 417 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 2026-09-03.
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