alfworld-clean-object skillA
alfworld-clean-object is agent-read markdown (skill) from zjunlp/skillnet: Cleans a specified object using an appropriate cleaning receptacle (e.g., sinkbasin). Use when a task requires an object to be in a clean state (e.g., "clean potato", "wash apple") before proceeding. Navigates to the cleaning location, performs the clean action, and confirms the object is now clean..
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
Clean an object you are holding using a sinkbasin. The object must be in your inventory before cleaning.
## Workflow
1. **Navigate:** `go to sinkbasin 1` (or the appropriate sinkbasin in the environment)
2. **Clean:** `clean {object} with sinkbasin 1` -- verify observation confirms "You clean the {object}"
3. **Proceed:** The object is now clean. Continue with the next task step
## Action Format
- `clean {obj} with {recep}` (e.g., `clean potato 1 with sinkbasin 1`)
## Error Recovery
- "Nothing happened": Check (1) you are holding the object, (2) you are at the sinkbasin, (3) object and receptacle names are correct
- Not at sinkbasin: execute `go to sinkbasin 1` first
## Example
**Scenario:** You are holding `potato 1` and need to clean it.
```
Thought: I need to clean this potato. I should go to the sinkbasin.
Action: go to sinkbasin 1
Observation: On the sinkbasin 1, you see nothing.
Action: clean potato 1 with sinkbasin 1
Observation: You clean the potato 1 using the sinkbasin 1.
```
**Result:** The potato is now in a clean state and ready for the next task step.
## Post-Condition
…Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/alfworld-clean-object@git:20260316.e08426emdr add zjunlp/skillnet/alfworld-clean-object@sha256:6cdc4f117182ac05Pin 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.
[](https://markdownregistry.com/a/art_bfeppxxpjhbzwjg3)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260316.e08426e latest | 2026-03-16 | e08426e | 1,650 B | A | view · diff |
| git:20260307.388baa3 | 2026-03-07 | 388baa3 | 1,672 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1650 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
zjunlp/skillnet · 1,266 stars · license MIT · pushed 2026-09-25 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bfeppxxpjhbzwjg3 GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/alfworld-clean-object GET https://markdownregistry.com/api/v1/blob/6cdc4f117182ac05f23c4ba04f71a57637820653def492d1e94175723816439a
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.