Home / zjunlp / skillnet · experiments/src/skills/alfworld/alfworld-object-placer/SKILL.md · GitHub

alfworld-object-placer skillA

alfworld-object-placer is agent-read markdown (skill) from zjunlp/skillnet: Places a held object onto or into a target receptacle. Trigger this skill when the agent is carrying an object and needs to deposit it at a specific location to complete a task, such as installing an item on a holder or storing it in a container. It takes the object and destination receptacle as inputs, performing a 'put' action to finalize the object's positioning according to the task goal..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Instructions
1. **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.

2. **Navigate to Receptacle**:
   - Use the `go to {recep}` action to move to the target receptacle's location.

3. **Execute Placement**:
   - Use the `put {obj} in/on {recep}` action to deposit the held object.
   - The phrasing (`in` vs `on`) is determined by the receptacle type (e.g., `in` for containers, `on` for surfaces/holders). Use the trajectory as a reference.

4. **Handle Errors**:
   - If the environment responds with "Nothing happened", the action was invalid. Consult the `references/action_guide.md` for troubleshooting common failure modes.

Read the whole file at its exact version.

How to install

Latest version
mdr add zjunlp/skillnet/alfworld-object-placer@git:20260307.388baa3
Exact content
mdr add zjunlp/skillnet/alfworld-object-placer@sha256:b5df6087df4ce351

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260307.388baa3 latest2026-03-07 388baa3 1,296 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1296 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zjunlp/skillnet · 1,266 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_djc7mzxoara7hpjv
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/alfworld-object-placer
GET https://markdownregistry.com/api/v1/blob/b5df6087df4ce351d23f69962106af179e189a1ede32e5d3f3f0948a84b0ff75

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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