Content To Pipeline
tech-leads-club/agent-skills
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms.
Inspects the contents of a container or device using the 'look at' action.
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspector --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .claude/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .claude/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspectorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspector --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .agents/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .agents/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspector --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .cursor/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .cursor/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zjunlp/SkillNet.git --path experiments/src/skills/scienceworld/scienceworld-container-inspector--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspector --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .gemini/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .gemini/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspectorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .github/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .github/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .github/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zjunlp/SkillNet scienceworld-container-inspector --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experiments/src/skills/scienceworld/scienceworld-container-inspector .opencode/skills/scienceworld-container-inspector && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scienceworld-container-inspector" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-container-inspector into .opencode/skills/scienceworld-container-inspector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scienceworld-container-inspector", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
scienceworld-container-inspectorInspects the contents of a container or device using the 'look at' action.
Scienceworld Container Inspector is an agent skill from zjunlp/SkillNet. Inspects the contents of a container or device using the 'look at' action. Use this skill when you need to verify what is inside a container (e.g., checking if lead is in the blast furnace), monitor the state of contents (e.g., solid vs. liquid phase changes), or confirm that a placement or process step succeeded. Returns a detailed list of contents and their states for process monitoring.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/container_inspection_examples.md`).
The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scienceworld Container Inspector loads about 804 tokens when it runs, and up to ~866 if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 411 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 411 words, ~804 tokens.
.claude/skills/scienceworld-container-inspector/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Trigger this skill when you need to:
Always use the exact action: look at <CONTAINER_NAME>
<CONTAINER_NAME> with the precise name of the target object (e.g., blast furnace, cupboard, tin cup).The observation will follow this general pattern:
[CONTAINER], which is [STATE]. The [CONTAINER] door is [OPEN/CLOSED]. In the [CONTAINER] is: \n\t[LIST OF CONTENTS]
Key Information to Extract:
a metal pot).a substance called liquid lead vs. a substance called lead).a metal pot (containing a substance called lead)).Action: look at blast furnace
Observation: a blast furnace, which is turned on. The blast furnace door is open. In the blast furnace is: \n\ta metal pot (containing a substance called liquid lead)
Interpretation: The blast furnace is active and open. It contains one item: a metal pot, which itself contains liquid lead. This confirms the heating process was successful and the lead has melted.
This skill is often used in a sequence:
move <ITEM> to <CONTAINER> (Place an item).look at <CONTAINER> (This skill - verify placement).activate <CONTAINER> (Start a process).look at <CONTAINER> (This skill - monitor state change).use <TOOL> on <CONTENT> (Proceed based on observed state).look at action fails or returns an unexpected result, first verify the object's name is correct by using look around or examine.open it before using this skill.pick up, move, or use for manipulation.© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in experiments/src/skills/scienceworld/scienceworld-container-inspector of zjunlp/SkillNet.
Open the folder on GitHubat commit c527136
Scienceworld Container Inspector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scienceworld Container Inspector this skillzjunlp/SkillNet | 1.4k | — | ~804 | Automated safety check: Pass | MIT | |
| Content To Pipelinetech-leads-club/agent-skills | 7k | — | ~6.3k | Automated safety check: Pass | Custom licence | |
| Content Productionalirezarezvani/claude-skills | 28k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Content Creatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Content Engineaffaan-m/ECC | 276k | 3 repos | ~293 | Automated safety check: Pass | MIT | |
| Content Engineaffaan-m/ECC | 276k | — | ~608 | Automated safety check: Pass | MIT |
tech-leads-club/agent-skills
When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms.
alirezarezvani/claude-skills
Full content production pipeline — takes a topic from blank page to published-ready piece.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
affaan-m/ECC
为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。
affaan-m/ECC
X、LinkedIn、TikTok、YouTube、ニュースレター、マルチプラットフォームキャンペーンのプラットフォームネイティブなコンテンツシステムを作成します。ソーシャル投稿、スレッド、スクリプト、コンテンツカレンダー、または1つのソースアセットを複数プラットフォームにきれいに適応したい場合に使用します。
holaboss-ai/holaOS
Builds a weekly or monthly content calendar with topics, platforms, formats and posting times, anchored to a stated goal, content mix and cadence.
zjunlp/SkillNet
Search, download, create, evaluate, analyze and route reusable agent skills with SkillNet.
zjunlp/SkillNet
This skill searches for a specific receptacle (e.g., garbage can, cabinet) by systematically exploring the environment, checking multiple locations until found.
zjunlp/SkillNet
Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state.
zjunlp/SkillNet
Operates a device or appliance (like a desklamp, microwave, or fridge) to interact with another object.
zjunlp/SkillNet
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles.
zjunlp/SkillNet
Uses a heating appliance (microwave, stoveburner, oven) to apply heat to a specified object.
Inspects the contents of a container or device using the 'look at' action. Scienceworld Container Inspector is an agent skill from zjunlp/SkillNet. Inspects the contents of a container or device using the 'look at' action.
Scienceworld Container Inspector fits situations like: you need to verify what is inside a container (e.g; checking if lead is in the blast furnace); monitor the state of contents (e.g.
Run `npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a claude-code`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-container-inspector in zjunlp/SkillNet) into .claude/skills/scienceworld-container-inspector in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a codex`. Or copy the skill folder (experiments/src/skills/scienceworld/scienceworld-container-inspector in zjunlp/SkillNet) into .agents/skills/scienceworld-container-inspector in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill scienceworld-container-inspector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scienceworld-container-inspector, .gemini/skills/scienceworld-container-inspector, .github/skills/scienceworld-container-inspector and .opencode/skills/scienceworld-container-inspector in your project.
SKILL.md names no scripts, command-line tools or credentials: Scienceworld Container Inspector is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Scienceworld Container Inspector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 804 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 62 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Scienceworld Container Inspector: Content To Pipeline (tech-leads-club/agent-skills, 7k stars), Content Production (alirezarezvani/claude-skills, 28k stars), Content Creator (sickn33/agentic-awesome-skills, 47k stars) and Content Engine (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,394 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.
Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.