Fda Database
ListedQuickly retrieve FDA approval status, clinical trial data, and regulatory information from the official FDA databases.
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 ovachiever/droid-tings --skill fda-database -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
ovachiever
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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.fda.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
api.fda.govundeclaredWhat it found (3 of 16)
- skills/fda-database/references/devices.md:128contacts api.fda.gov
response = requests.get("https://api.fda.gov/device/510k.json", params=params) - skills/fda-database/references/devices.md:189contacts api.fda.gov
response = requests.get("https://api.fda.gov/device/classification.json", params=params) - skills/fda-database/references/devices.md:249contacts api.fda.gov
response = requests.get("https://api.fda.gov/device/enforcement.json", params=params)
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 ovachiever/droid-tings at 7acd12a754.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7acd12a754
- Manifest
- skills/fda-database/SKILL.md
- Scanned
- 9 files, 4,038 lines
About this skill
What it does
This skill provides access to and querying capabilities of the FDA (Food and Drug Administration) database. It allows users to retrieve information about drugs, devices, facilities, and other regulated products. The skill can be used to search for specific records or perform more complex queries based on various criteria.
When to use it
- Researching approved medications: Find details on a drug’s approval status, indications, and prescribing information.
- Investigating medical device recalls: Determine if a particular medical device has been recalled and the reasons behind the recall.
- Checking facility registration: Verify the registration status of a manufacturing facility or clinical trial site.
- Analyzing regulatory trends: Identify patterns in FDA approvals or enforcement actions over time.
Key capabilities
- Drug information retrieval
- Medical device data access
- Facility registration lookup
- Querying by various criteria (e.g., name, application number)
Example prompts
- "Find all drugs approved for treating hypertension."
- "What is the recall status of model XYZ medical device?"
- "Show me facilities registered in California."
- “Retrieve information about application number 12345.”
Tips & gotchas
The FDA database can be complex, so precise search terms are recommended. Familiarity with common FDA terminology will improve query results.