LaminDB Biological Data Management
davila7/claude-code-templates
Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools.
Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks.
Install AI Scientist Evaluator
$ npx skills add BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills ai-scientist-evaluator --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/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .claude/skills/ai-scientist-evaluator && 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 "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .claude/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluatorType 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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills ai-scientist-evaluator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .agents/skills/ai-scientist-evaluator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .agents/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills ai-scientist-evaluator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .cursor/skills/ai-scientist-evaluator && 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 "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .cursor/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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/BioTender-max/awesome-bio-agent-skills.git --path skills/omics/ai-scientist-evaluator--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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills ai-scientist-evaluator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .gemini/skills/ai-scientist-evaluator && 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 "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .gemini/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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 BioTender-max/awesome-bio-agent-skills ai-scientist-evaluatorInstalls 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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .github/skills/ai-scientist-evaluator && 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 "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .github/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BioTender-max/awesome-bio-agent-skills ai-scientist-evaluator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/omics/ai-scientist-evaluator .opencode/skills/ai-scientist-evaluator && 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 "ai-scientist-evaluator" agent skill from https://github.com/BioTender-max/awesome-bio-agent-skills/tree/main/skills/omics/ai-scientist-evaluator into .opencode/skills/ai-scientist-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-scientist-evaluator", 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
ai-scientist-evaluator- GitHub stars
- 200
- Token cost
- ~2.4k tokens
- SKILL.md length
- 952 words
- Files
- 14 (incl. scripts, references, assets)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks.
- Works in 12 steps: Confirm the request is evaluative. Use… → Restate the exact task in one or two… → Inventory the submitted artifacts and… → …
- The user asks to evaluate notebooks
- SKILL.md covers Instructions, Quick Reference, Input Requirements and Output, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
AI Scientist Evaluator is an agent skill from BioTender-max/awesome-bio-agent-skills. Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks. Trigger when the user asks to evaluate notebooks, code, figures, analyses, manuscripts, software, or final reports produced by AI scientists; compare multiple AI scientists on the same task; judge publication readiness; or audit rigor, reproducibility, novelty, and task completion. Do not use this skill to perform the original research task itself unless…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/default_weight_profiles.yaml` and `assets/evaluation_schema.json`).
It sits in Research & Science, covering Reproducible research and Bioinformatics. The repository describes itself as: A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
When your agent uses it
- The user asks to evaluate notebooks
- Final reports produced by AI scientists
- Compare multiple AI scientists on the same task
- Judge publication readiness
Example prompts
- “/ai-scientist-evaluator”
Requirements
- Python 3
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- Confirm the request is evaluative. Use this skill to audit or compare
- Restate the exact task in one or two sentences so the review stays anchored
- Inventory the submitted artifacts and note what is missing. Prefer primary
- Choose the closest task profile from
- Review with a four-person panel and synthesize a consensus
- Apply hard gates before generous scoring. A submission is not
- Interrogate the submission with the relevant sections of
- Scan for integrity, rigor, and validity problems using
- Score each category on the anchored 0 to 5 scale in
- Convert the category scores to a weighted total out of 100. Apply explicit
- For multiple submissions, score each one independently before ranking. Use
- Produce a concise consensus verdict with actionable revisions. Ground the
What it can do on your machine
Read from SKILL.md and the folder at commit 8cbdd18. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
AI Scientist Evaluator loads about 2.4k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 157 tokens; SKILL.md has 952 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 952 words (~2,392 tokens).
“Use this skill when Codex should behave like a skeptical reviewer panel rather than a research generator. Evaluate completed outputs, not just plans.”
- name
- ai-scientist-evaluator
Files
SKILL.md and 13 other files (scripts, references, assets) in skills/omics/ai-scientist-evaluator of BioTender-max/awesome-bio-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/default_weight_profiles.yaml
- assets/evaluation_schema.json
- assets/evaluation_template.json
- assets/report_template.md
- examples/bio_task_mappings.md
- examples/example_prompts.md
- references/category_definitions.md
- references/question_bank.md
- references/red_flags.md
- references/score_scale.md
- references/task_profiles.md
- scripts/aggregate_reviews.py
Open the folder on GitHubat commit 8cbdd18
Compare with similar skills
AI Scientist Evaluator 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 |
|---|---|---|---|---|---|---|
| AI Scientist Evaluator this skillBioTender-max/awesome-bio-agent-skills | 200 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| LaminDB Biological Data Managementdavila7/claude-code-templates | 33k | 12 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Latchbio Integrationdavila7/claude-code-templates | 33k | 11 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Remote Compute Sshaipoch/open-science | 5.5k | — | ~5.7k | Automated safety check: Pass | Apache-2.0 | |
| Bio OrchestratorClawBio/ClawBio | 1.2k | 3 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Latchbio IntegrationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.5k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about AI Scientist Evaluator
What does AI Scientist Evaluator do?
Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks. AI Scientist Evaluator is an agent skill from BioTender-max/awesome-bio-agent-skills. Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks.
When should I use AI Scientist Evaluator?
AI Scientist Evaluator fits situations like: the user asks to evaluate notebooks; final reports produced by AI scientists; compare multiple AI scientists on the same task; judge publication readiness.
How do I install AI Scientist Evaluator in Claude Code?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a claude-code`. Or copy the skill folder (skills/omics/ai-scientist-evaluator in BioTender-max/awesome-bio-agent-skills) into .claude/skills/ai-scientist-evaluator in your project. Claude Code loads it when a task matches its description.
How do I install AI Scientist Evaluator in Codex?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a codex`. Or copy the skill folder (skills/omics/ai-scientist-evaluator in BioTender-max/awesome-bio-agent-skills) into .agents/skills/ai-scientist-evaluator in your project. Codex loads it when a task matches its description.
Can I use AI Scientist Evaluator 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 BioTender-max/awesome-bio-agent-skills --skill ai-scientist-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-scientist-evaluator, .gemini/skills/ai-scientist-evaluator, .github/skills/ai-scientist-evaluator and .opencode/skills/ai-scientist-evaluator in your project.
What does AI Scientist Evaluator need to run?
Going by SKILL.md and its folder, AI Scientist Evaluator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does AI Scientist Evaluator 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 AI Scientist Evaluator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AI Scientist Evaluator use?
AI Scientist Evaluator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does AI Scientist Evaluator use?
About 2.4k tokens (SKILL.md is roughly 9.6k 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 4.4k tokens, read only when the agent opens those files.
What are the alternatives to AI Scientist Evaluator?
Skills that share tags, products or a category with AI Scientist Evaluator: LaminDB Biological Data Management (davila7/claude-code-templates, 33k stars), Latchbio Integration (davila7/claude-code-templates, 33k stars), Remote Compute Ssh (aipoch/open-science, 5.5k stars) and Bio Orchestrator (ClawBio/ClawBio, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Scientist Evaluator?
BioTender-max (a GitHub user) maintains it in BioTender-max/awesome-bio-agent-skills, which has 200 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 1, 2026.
Source: BioTender-max/awesome-bio-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.