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-object-transportergit 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-transporter)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-object-transporter"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-object-transporter/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-object-transporter"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-object-transporter.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 | $0.00084 | $0.00499 |
| Opus 5.5 | $0.00034 | $0.00200 |
| Sonnet 5.5 | $0.00017 | $0.00100 |
| Haiku 4.5 | $0.00008 | $0.00050 |
Grade A, and why
alfworld-object-transporter 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 2mo 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
Pick up an object from its current location and transport it to a destination receptacle.
Workflow
- Navigate to source:
go to {source_receptacle}-- verify observation shows the target object - Pick up:
take {object} from {source_receptacle}-- verify "You pick up" confirmation - Navigate to destination:
go to {destination_receptacle} - Place:
put {object} in/on {destination_receptacle}-- verify "You put" confirmation
Action Format
go to {receptacle}take {object} from {receptacle}put {object} in/on {receptacle}
Error Recovery
- "Nothing happened" on take: verify you are at the correct receptacle and the object name matches the observation
- "Nothing happened" on put: verify you are holding the object and at the correct destination
- Object not visible: re-scan the environment to locate it before retrying
Example
Scenario: Move laptop 1 from bed 2 to desk 1.
Action: go to bed 2
Observation: On the bed 2, you see a laptop 1, a pillow 1.
Action: take laptop 1 from bed 2
Observation: You pick up the laptop 1 from the bed 2.
Action: go to desk 1
Observation: On the desk 1, you see a pen 2.
Action: put laptop 1 in/on desk 1
Observation: You put the laptop 1 in/on the desk 1.
Result: The laptop has been transported from the bed to the desk.
Bundled Resources
- Script:
scripts/transport_sequence.pyprovides a deterministic sequence generator. - Reference:
references/troubleshooting.mdcontains common failure patterns and solutions.
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.
- 2mo ago First seen · 45 lines · 84 tokens per session scan A 95e0b32d76e2
alfworld-object-transporter is a skill published in the GitHub repository zjunlp/SkillNet (1,454 stars, last pushed 11d ago), licensed MIT. It adds 84 tokens to every session and 499 once invoked, about $0.0003 per session on Opus 5.5. 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.
alfworld-object-transporter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| alfworld-object-transporterzjunlp/SkillNet | Skill | 1.5k | 11d ago | MIT | A | 84 | Claude Code, Codex |
| skill-creatorzjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 45 | Claude Code |
| Total_Fees_Calculationzjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 101 | Claude Code, Codex |
| ddr-globem-analysiszjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 98 | Claude Code, Codex |
| applicable-fee-idszjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 81 | Claude Code, Codex |
| Fee_Delta_and_Impact_Simulationzjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 0 | Claude Code, Codex |
| mimic-iv-patient-analysiszjunlp/DataMind | Skill | 153 | 1mo ago | none | A | 118 | Claude Code, Codex |