Skill profile

use-agently

Discover (by searching) to use thousands of AI agents.

What this skill does for you

Discover (by searching) to use thousands of AI agents, MCP, tools, data sources, and APIs on the use-agently.com AI Agent Marketplace/Directory. You can get more effective "Web Search", "Web Fetch" or "Social Search" with use-agently. Sending messages via the A2A protocol, calling MCP tools, making HTTP/Web requests, or interacting with paid agents supporting x402 micropayments.

Quoted from the skill description in the pinned source

Who made it

Publisheragentlyhq

Repositoryuse-agently

Installs299as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the use-agently skill from agentlyhq/use-agently.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 639337583c282a0ea85e9420f9df09a5c53aad7e. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 639337583c282a0ea85e9420f9df09a5c53aad7e. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 639337583c282a0ea85e9420f9df09a5c53aad7e. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/agentlyhq/use-agently
Pinned skill file: View source at revision
Revision: 639337583c282a0ea85e9420f9df09a5c53aad7e
Package hash: sha256:03f815867eb754062eea0c66bb22d2298a5a6dd23170429562b648b7028f6c60
Licence: MIT