tooluniverse-molecular-cloning

tooluniverse-molecular-cloning is a skill for Claude Code from mims-harvard/ToolUniverse. It costs 0 tokens per session (1,942 once invoked), scanned A, original, Apache-2.0.

A planning guide for joining DNA fragments into a larger construct using Gibson Assembly or Golden Gate Assembly. It helps design the matching DNA ends needed for each method.

In plain words
What is it for?
It is for planning plasmid and other DNA constructs, choosing an assembly method, and designing Gibson overlaps or Golden Gate fusion overhangs.
Why use it?
It reduces failed cloning caused by incompatible joins, repeated junctions, or unwanted enzyme-cutting sites inside the DNA parts.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the tooluniverse plugin — 162 skills, 8 commands, 1 agent, 1 hook, 1 MCP server shipped together

Good fit It is for planning plasmid and other DNA constructs, choosing an assembly method, and designing Gibson overlaps or Golden Gate fusion overhangs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning
About the project

ToolUniverse is a collection of tools, interfaces, and supporting components for building AI systems that perform scientific work. It is for developers creating AI scientist agents that use APIs, databases, machine-learning tools, and domain-specific utilities. The catalogue includes skills, commands, an MCP server, an agent, and a hook for working with the ecosystem.

mims-harvard/ToolUniverse · 1,744 stars · on GitHub · aiscientist.tools

Install

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.

Any agent
npx skills add mims-harvard/ToolUniverse --skill tooluniverse-molecular-cloning
Clone the repo
git clone --depth 1 https://github.com/mims-harvard/ToolUniverse

Made for: Claude Code.

Or install tooluniverse, the plugin that ships this one along with the rest of its 162 skills, 8 commands, 1 agent, 1 hook, 1 MCP server.

Wrote 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.

agentmods badge for tooluniverse-molecular-cloning

README.md
[![agentmods](https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning/github.svg)](https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning)
Your own site
<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tooluniverse-molecular-cloning

Your own site · 80×15
<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-molecular-cloning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,942 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01942
Opus 5.5 $0.00000 $0.00777
Sonnet 5.5 $0.00000 $0.00388
Haiku 4.5 $0.00000 $0.00194

Measured 1mo ago against content hash 12b33f10d99d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tooluniverse-molecular-cloning scanned grade A with 0 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/cloning_qc.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/tooluniverse-molecular-cloning/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Molecular Cloning Assembly Design (Gibson & Golden Gate)

Plan how to join DNA fragments into a construct: design the overlaps (Gibson) or Type IIS overhangs (Golden Gate) and avoid the failures that come from internal sites and non-unique junctions.

Step 0 — Pick the method

Use Gibson Assembly when Use Golden Gate when
A few fragments, scarless/seamless junctions anywhere you choose Many parts, standardized reusable parts (MoClo/modular), one-pot
You can add ~20–40 bp homology by PCR You can remove internal BsaI/BbsI sites (domestication)
One-off constructs Combinatorial libraries / repeated assemblies

Both are sequence-independent (no scar at the junction for Gibson; a 4-bp fusion scar for Golden Gate). For 2–4 unique fragments, Gibson is usually simplest; for libraries or a parts toolkit, Golden Gate.

Step 1 — Gibson Assembly

tu run DNA_gibson_design '{"operation":"gibson_design",
  "fragments":["ATGGCG...GAGGAC","GAGGAC...GGCAAG","GGGCAAG...ATCCT"],
  "overlap_length":20}'

For each fragment it returns left_overlap, right_overlap, and with_overlaps (the fragment extended with the homology arms you'd add to your PCR primers — hand these to tooluniverse-primer-design).

Gibson design rules

  • Overlap length 15–40 bp (20–25 typical); longer for GC-poor junctions.
  • Overlap Tm ≈ 48–65 °C and balanced between junctions.
  • Fragment order matters — list fragments in assembly order; the last fragment's 3′ overlaps the first only if you're making a circle (vector).
  • Avoid repeats/secondary structure at the junctions (hairpins, direct repeats) → misassembly.
  • Unique junctions — if two junctions share homology, fragments can swap; redesign so each overlap is unique.

Step 2 — Golden Gate Assembly

tu run DNA_golden_gate_design '{"operation":"golden_gate_design",
  "parts":["ATGGCG...AAGAAC","CTGAGC...CTGATC","GAGGAG...GTGGTG"],
  "enzyme":"BsaI"}'

Read the full file on GitHub · 112 lines

Files

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.

Changes

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.

  1. 1mo ago Changed · +38 lines · -121 tokens per session 12b33f10d99d
  2. 1mo ago First seen · 74 lines · 121 tokens per session scan A 2266f5ecdd2e

Subscribe to this mod's changes

tooluniverse-molecular-cloning is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,744 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,942 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

ai-agent-tool-routing

Use when designing or reviewing an AI agent tool registry or MCP router: document parameter schemas, caller authorization, execution limits, replay-safe retries and verification evidence.

sickn33/agentic-awesome-skills · 36 tokens

nanoresearch-writing

Draft a LaTeX research paper from all previous stage outputs.

OpenRaiser/NanoResearch · 17 tokens

construct-toy-examples

Generate and analyze simpler examples that satisfy both the assumptions and the conclusion of a theorem statement or subgoal. Use when you are stuck in reasoning and need simpler examples to regain traction, or when you want to see where the assumptions take effect and gain intuition.

frenzymath/Danus · 57 tokens

obtain-immediate-conclusions

Derive immediate mathematical consequences from a theorem statement or subgoal. Use when starting a new problem, branch, or subgoal, or when cheap progress or a cleaner reformulation is needed before deeper proof search.

frenzymath/Danus · 49 tokens

clinical-research-analysis-framework

Guided workflow for statistical and ML analysis of clinical data. Use when planning or executing research analyses on MIMIC, eICU, or similar EHR data. Ensures methodological rigor through structured consultation, assumption checking, and stepwise execution with audit trails.

hannesill/m4 · 59 tokens

apache-iv-score

Calculate APACHE IV (Acute Physiology and Chronic Health Evaluation IV) score for ICU mortality prediction. Use for severity assessment, hospital mortality prediction, ICU benchmarking, or case-mix adjustment. eICU has pre-computed scores; MIMIC-IV requires custom implementation with diagnosis mapping challenges.

hannesill/m4 · 65 tokens