Tooluniverse Clinical Trial Design
ListedDesigns robust clinical trial protocols, including endpoints, statistical analysis plans, and regulatory considerations, leveraging extensive medical knowledge.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-clinical-trial-design -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
mims-harvard
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.fda.gov, clinicaltrials.gov.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
clinicaltrials.govundeclaredapi.fda.govundeclaredWhat it found (3 of 6)
- plugin/skills/tooluniverse-clinical-trial-design/SKILL.md:230contacts clinicaltrials.gov
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params).json() - plugins/tooluniverse/skills/tooluniverse-clinical-trial-design/SKILL.md:230contacts clinicaltrials.gov
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params).json() - skills/tooluniverse-clinical-trial-design/SKILL.md:230contacts clinicaltrials.gov
resp = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params).json()
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mims-harvard/tooluniverse at f5c37eebeb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f5c37eebeb
- Scanned
- 27 files, 11,817 lines
- Copies in repo
- 3 — all of them scanned
About this skill
The provided source content consists solely of HTML metadata and structural code for a webpage. It contains no descriptive text, feature lists, usage scenarios, or specific capabilities regarding the "clinical-trial-design" skill. Consequently, it is impossible to generate a factual guide based on the available information without violating the rule against hallucination.
To proceed, please provide the actual content of the skill description (e.g., the main body text of the page) so I can write an accurate and useful guide.