scienceworld-result-archiver SKILL.md skillA
scienceworld-result-archiver from zjunlp/skillnet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zjunlp/skillnet/scienceworld-result-archiver@git:20260307.388baa3Pins git:20260307.388baa3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zjunlp/skillnet
- Path
experiments/src/skills/scienceworld/scienceworld-result-archiver/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260307.388baa3, committed Mar 7, 2026
- Size
- 2,541 bytes
- Repository stars
- 1,449
- License
- MIT
Places an object into a designated container (like a colored box) based on a test outcome. It should be triggered when the agent needs to finalize a task by storing an object according to a rule (e.g., conductive → blue box, non-conductive → orange box). The input is the object and the rule, and the output is the object moved to the correct container.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Instructions Use this skill to finalize a scientific test by archiving an object based on the observed result. ## When to Use - You have just completed an experimental test (e.g., electrical conductivity, chemical reaction, physical property test). - You have a clear rule mapping a specific test outcome to a specific destination container (e.g., "If property X is true, place in Container A; if false, place in Container B"). - The object to be archived and the destination containers are present in your current environment. ## Core Procedure 1. **Verify Context:** Ensure you are in the correct room (typically the `workshop` or lab area) where the test was conducted and where the destination containers are located. 2. **Confirm Test Result:** Observe the final state of your experimental apparatus to definitively determine the test outcome (e.g., "light bulb is on"). 3. **Apply Rule:** Map the confirmed outcome to the corresponding destination container as specified by the task rule. 4. **Execute Archive:** Move the test object from its current location (inventory or room) into the correct container using the `move OBJ to CONTAINER` action. ## Key Principles …
Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/scienceworld-result-archiver@sha256:dfdb8cab1014b501The line at the top of this page pins the label git:20260307.388baa3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jwh5troabin4hgyx)
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Versions
The registry has recorded 1 version of this file, committed on Mar 7, 2026.
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 (2541 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 · 1,449 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jwh5troabin4hgyx GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-result-archiver GET https://markdownregistry.com/api/v1/blob/dfdb8cab1014b501c0dff0dfd9332fe3fc37924bda0031f4f390a1f749b5ea96
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.