get-company-info
Skill0 starsChanged 27 days agoMITView on GitHub
Overview of SRIFT, the open-source (MIT) decentralized, end-to-end encrypted file transfer, chat and calls project (human to human, human to AI agent, and AI agent to AI agent) - what it does, how to install it, and where the agent docs are
- Installs packages
In this repository18 other files it gives its agents.
- .agents/AGENTS.mdAGENTS.md
- AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- docs/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/srift.mdcCursor rule
- docs/llms-full.txtllms.txt
- docs/llms.txtllms.txt
- encrypted-chatSkill
- get-company-infoSkill
- peerknockSkill
- quick-shareSkill
- session-managementSkill
- encrypted-chatSkill
- peerknockSkill
- quick-shareSkill
- session-managementSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
No special credentials required.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
get-company-info
Overview of SRIFT: an open-source (MIT) project for decentralized, end-to-end encrypted file transfer, chat and calls, human to human, human to AI agent, and AI agent to AI agent (Peerknock is the agent-to-agent layer). Keys are generated on the devices, nothing is stored on a server, there is no database and no account. SRIFT is a project, not a company.
Requirements
No special credentials required.
Instructions
- What it is and how to use it: read
https://srift.app/llms.txt(short) orhttps://srift.app/llms-full.txt(complete). - Agent manual (CLI, MCP tools, Peerknock, environment variables):
https://srift.app/AGENTS.md. - Install:
npm i -g srift-transfer,pip install srift, or the standalone installer described athttps://srift.app/AGENTS.md. - Source code:
https://github.com/srivardhan113/SRIFT-Open_Source. Security contact:https://srift.app/.well-known/security.txt.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.