Science Skills is a collection of add-ons that give AI agents structured instructions, scripts, and references for scientific research, including genomics, structural biology, cheminformatics, and literature search. Researchers use it to guide agents through specialized scientific tasks with information from databases and tools such as AlphaGenome, AFDB, and UniProt. The catalogue entries are individual skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/google-deepmind/science-skills/workflow_skill_creatornpx skills add google-deepmind/science-skills --skill workflow_skill_creatorgit clone --depth 1 https://github.com/google-deepmind/science-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/google-deepmind/science-skills/workflow_skill_creator)<a href="https://agentmods.dev/skills/google-deepmind/science-skills/workflow_skill_creator"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/workflow_skill_creator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00090 | $0.02883 |
| Opus 5 | $0.00045 | $0.01442 |
| Sonnet 5 | $0.00018 | $0.00577 |
| Haiku 4.5 | $0.00009 | $0.00288 |
Grade B, and why
workflow-skill-creator scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
`~/.gemini/config/skills/` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
(`urllib` preferred); Avoid libraries that require extra installation if How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow-to-Skill Distiller
Turns a completed workflow into a reusable agent skill. Specifically, this skill extracts patterns from an interaction or workflow that already happened and packages them.
[!CAUTION] You MUST complete Phase 1 (Brainstorming) before writing any code or SKILL.md content. Skipping brainstorming produces skills that are either too rigid or too vague. The brainstorming conversation is the most important part of this process.
Phase 1: Brainstorming (MANDATORY)
Have an iterative back-and-forth conversation with the user. Do NOT ask all questions at once. Pick 2-3 relevant questions per round from the bank below, refine your understanding, and ask follow-ups.
Round 1: Understand the Workflow
Start by summarizing what you observed from the workflow, then ask:
- "Here's my understanding of the workflow: [summary]. Is this accurate? What would you change?"
- "What are the expected inputs and outputs for this workflow?"
- "How often do you expect to run this workflow? Is it recurring or one-off?"
Round 2: Flexibility and Error Handling
For each step identified in the workflow, determine its rigidity:
- "For [step X], if the primary approach fails (e.g., API down, no results), should the agent: (a) ask you for guidance, (b) try alternative approaches automatically, or (c) fail loudly with an error?"
- "Are there any steps where the exact method matters (e.g., must use a specific database), vs. steps where any reasonable approach is fine?"
- "Should the skill handle edge cases silently or surface them to the user?"
Round 3: Dependencies and Resources
Before asking these questions, check which of your installed skills overlap with the workflow. If an existing skill from the science bundle covers a step, the new skill MUST reference it — do not offer a self-contained option.
- "I noticed the workflow uses functionality covered by [existing skill X, skill Y]. The new skill will reference these rather than reimplementing them. Are there any other tools or skills you'd like me to incorporate?"
- "Are there any API rate limits I should be aware of for services used in this workflow that aren't already covered by an existing skill?"
- "Are there specific files that provide important scientific context for creating this skill? For example: API documentation, reference papers, example datasets, or domain-specific notes. If so, please share them and I will incorporate their content into the skill's reference materials."
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 289 lines · 90 tokens per session scan B 4833b12e3bbe
workflow-skill-creator is a skill published in the GitHub repository google-deepmind/science-skills (2,835 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 2,883 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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