Academic Paper Polish
HKUSTDial/Supervisor-Skills
Polishes academic prose without changing its meaning: grammar and flow fixes, tone matched to the evidence, AI-tone removal and Chinese-to-English rewriting for submission.
Comprehensive antibody engineering and optimization for therapeutic development.
Install Tooluniverse Antibody Engineering
$ npx skills add wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-antibody-engineering --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/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .claude/skills/tooluniverse-antibody-engineering && 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 "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .claude/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineeringType 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 wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-antibody-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .agents/skills/tooluniverse-antibody-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .agents/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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 wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-antibody-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .cursor/skills/tooluniverse-antibody-engineering && 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 "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .cursor/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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/wu-yc/LabClaw.git --path skills/pharma/tooluniverse-antibody-engineering--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 wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-antibody-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .gemini/skills/tooluniverse-antibody-engineering && 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 "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .gemini/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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 wu-yc/LabClaw tooluniverse-antibody-engineeringInstalls 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 wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .github/skills/tooluniverse-antibody-engineering && 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 "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .github/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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 wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-antibody-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pharma/tooluniverse-antibody-engineering .opencode/skills/tooluniverse-antibody-engineering && 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 "tooluniverse-antibody-engineering" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-antibody-engineering into .opencode/skills/tooluniverse-antibody-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-antibody-engineering", 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.
Facts
- Skill name
tooluniverse-antibody-engineering- GitHub stars
- 1.1k
- Used in
- 2 other repos
- Token cost
- ~13k tokens
- SKILL.md length
- 739 words
- Files
- 1
- Skills in repo
- 68
- Repo updated
- First seen
- Licence
- None found
At a glance
Comprehensive antibody engineering and optimization for therapeutic development.
- Works in 10 steps: Report-First Approach (MANDATORY) → Documentation Standards (MANDATORY) → Input Analysis → …
- Asked to optimize antibodies
- SKILL.md covers When to Use, Critical Workflow Requirements, Phase 0: Tool Verification and Workflow Overview, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tooluniverse Antibody Engineering is an agent skill from wu-yc/LabClaw. Comprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer therapeutic antibodies from lead to clinical candidate.
Its SKILL.md is about 13k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).
When your agent uses it
- Asked to optimize antibodies
- Humanize sequences
- Engineer therapeutic antibodies from lead to clinical candidate
Example prompts
- “/tooluniverse-antibody-engineering”
Requirements
- Python 3
Workflow steps
10 steps, taken from the step headings in SKILL.md.
- Report-First Approach (MANDATORY)
- Documentation Standards (MANDATORY)
- Input Analysis
- Humanization
- Structure
- Affinity
- Developability
- Immunogenicity
- Manufacturing
- Final Report
What it can do on your machine
Read from SKILL.md and the folder at commit df37802. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tooluniverse Antibody Engineering loads about 13k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 739 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 739 words (~12,830 tokens).
“AI-guided antibody optimization pipeline from preclinical lead to clinical candidate. Covers sequence humanization, structure modeling, affinity optimization, developability assessment, immunogenicity prediction, and manufacturing feasibility.”
- name
- tooluniverse-antibody-engineering
Files
Just SKILL.md in skills/pharma/tooluniverse-antibody-engineering of wu-yc/LabClaw.
Open the folder on GitHubat commit df37802
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wu-yc/LabClaw, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Tooluniverse Antibody Engineering 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 |
|---|---|---|---|---|---|---|
| Tooluniverse Antibody Engineering this skillwu-yc/LabClaw | 1.1k | 2 repos | ~13k | Automated safety check: Pass | None | |
| Academic Paper PolishHKUSTDial/Supervisor-Skills | 8.8k | — | ~3.1k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| Audit AI Writingjxnl/personal-monorepo-template | 563 | — | ~887 | Automated safety check: Pass | None | |
| Humanizepedrohcgs/claude-code-my-workflow | 1.7k | — | ~2.9k | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| Avoid AI Writingconorbronsdon/avoid-ai-writing | 4.9k | 3 repos | ~8.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Tooluniverse Antibody Engineering
What does Tooluniverse Antibody Engineering do?
Comprehensive antibody engineering and optimization for therapeutic development. Tooluniverse Antibody Engineering is an agent skill from wu-yc/LabClaw. Comprehensive antibody engineering and optimization for therapeutic development.
When should I use Tooluniverse Antibody Engineering?
Tooluniverse Antibody Engineering fits situations like: asked to optimize antibodies; humanize sequences; engineer therapeutic antibodies from lead to clinical candidate.
How do I install Tooluniverse Antibody Engineering in Claude Code?
Run `npx skills add wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a claude-code`. Or copy the skill folder (skills/pharma/tooluniverse-antibody-engineering in wu-yc/LabClaw) into .claude/skills/tooluniverse-antibody-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Tooluniverse Antibody Engineering in Codex?
Run `npx skills add wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a codex`. Or copy the skill folder (skills/pharma/tooluniverse-antibody-engineering in wu-yc/LabClaw) into .agents/skills/tooluniverse-antibody-engineering in your project. Codex loads it when a task matches its description.
Can I use Tooluniverse Antibody Engineering in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wu-yc/LabClaw --skill tooluniverse-antibody-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse-antibody-engineering, .gemini/skills/tooluniverse-antibody-engineering, .github/skills/tooluniverse-antibody-engineering and .opencode/skills/tooluniverse-antibody-engineering in your project.
What does Tooluniverse Antibody Engineering need to run?
SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Antibody Engineering is instructions for the agent only. Our summary lists: Python 3.
Does Tooluniverse Antibody Engineering access the network?
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.
Is Tooluniverse Antibody Engineering safe to install?
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.
What licence does Tooluniverse Antibody Engineering use?
No licence was found for Tooluniverse Antibody Engineering or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Tooluniverse Antibody Engineering use?
About 13k tokens (SKILL.md is roughly 51k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tooluniverse Antibody Engineering?
Skills that share tags, products or a category with Tooluniverse Antibody Engineering: Academic Paper Polish (HKUSTDial/Supervisor-Skills, 8.8k stars), Audit AI Writing (jxnl/personal-monorepo-template, 563 stars), Humanize (pedrohcgs/claude-code-my-workflow, 1.7k stars) and Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tooluniverse Antibody Engineering?
wu-yc (a GitHub user) maintains it in wu-yc/LabClaw, which has 1,055 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on March 19, 2026.
Source: wu-yc/LabClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.