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SKILL verified MIT Self-run

With Paid

skill-nicolasmelo1-logion-with-paid · by nicolasmelo1

Paid-course example showing how to package a self-contained Logion bundle with the marketplace paid license. Use as a starting point when you want a benign course that reads local artifacts, produces a structured report, and exercises the paid publication path end to end.

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Install

$ agentstack add skill-nicolasmelo1-logion-with-paid

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

With-Paid Skill

This is a benign paid-course example. It exists to demonstrate the paid bundle contract: self-contained files, explicit capabilities, and the Logion Standard Course License v1.0.

When to Use

  • You want a reference paid bundle to test create -> upload -> complete.
  • You need a simple course that reads local notes and writes a structured

report.

  • You want an example that exercises the paid-license enforcement path without

introducing risky operational content.

Prerequisites

  • file and terminal tools.
  • python3 available on the host.

How to Run

python3 scripts/render_report.py ./inputs/findings.txt ./outputs/report.md

Output

The script reads a plain-text findings list and writes a normalized markdown report under outputs/.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.