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-pickernpx skills add zjunlp/SkillNet --skill alfworld-object-pickergit 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-picker)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-object-picker"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-object-picker.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 | $0.00084 | $0.00304 |
| Opus 5 | $0.00042 | $0.00152 |
| Sonnet 5 | $0.00017 | $0.00061 |
| Haiku 4.5 | $0.00008 | $0.00030 |
Grade A, and why
alfworld-object-picker 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 4d 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
Execute the take action to acquire the target object from the source receptacle.
Inputs
object: The identifier of the object to pick up (e.g., "toiletpaper 1").source_receptacle: The identifier of the receptacle where the object is located (e.g., "toilet 1").
Process
- Verify Context: Ensure the agent is at the location of the
source_receptacle. If not, the agent must navigate there first using a separate movement skill. - Execute Action: Perform the action:
take {object} from {source_receptacle}. - Handle Feedback: If the environment indicates "Nothing happened," consult the troubleshooting guide in
references/troubleshooting.mdfor potential issues.
Output
- The specified object is transferred to the agent's inventory.
- The agent receives an observation confirming the successful pickup (e.g., "You pick up the {object} from the {source_receptacle}").
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.
- 4d ago First seen · 20 lines · 84 tokens per session scan A 8627e66af18f
alfworld-object-picker is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed 14d ago), licensed MIT. It adds 84 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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