Sf Data
CheckedAccess and retrieve structured Salesforce data based on provided queries and filters from jaganpro's sf-data skill.
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 jaganpro/sf-skills --skill sf-data -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
jaganpro
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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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 undeclared network calls: passed
Makes no network calls.
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.
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 jaganpro/sf-skills at 53c9956c42.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 53c9956c42
- Manifest
- skills/sf-data/SKILL.md
- Scanned
- 22 files, 3,501 lines
About this skill
The sf-data skill provides a foundational interface for AI agents to interact with Salesforce data ecosystems, enabling direct access to CRM records and business logic. It serves as a critical bridge allowing autonomous agents to retrieve, update, and manage customer information within the Salesforce platform securely.
When to use it
- Automating routine data entry tasks such as updating lead statuses or creating new contacts after initial outreach.
- Retrieving specific customer account details to personalize responses during complex sales negotiations.
- Syncing external marketing campaign results back into Salesforce for unified reporting and analysis.
- Validating real-time inventory or service availability before confirming a booking with a client.
Key capabilities
- Direct integration with Salesforce APIs to query and manipulate records.
- Secure authentication handling for enterprise-level data access.
- Structured output generation compatible with standard CRM schemas.
- Error handling mechanisms for failed data transactions.
Example prompts
- "Update the status of all leads from 'New' to 'Contacted' in the Salesforce database."
- "Retrieve the latest contact information and purchase history for account ID 0015x00000ABCDEF."
- "Create a new opportunity record with the details provided in this email thread and assign it to the sales team."
Tips & gotchas
Ensure your AI agent has the necessary OAuth credentials configured before attempting data operations to prevent unauthorized access. Be mindful of Salesforce governor limits, as high-volume data requests may require batch processing strategies to avoid hitting API quotas.