Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/nicolasmelo1/logionnpx agentmods add skills/nicolasmelo1/logion/with-paidWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nicolasmelo1/logion/with-paid)<a href="https://agentmods.dev/skills/nicolasmelo1/logion/with-paid"><img src="https://agentmods.dev/badge/skills/nicolasmelo1/logion/with-paid/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nicolasmelo1/logion/with-paid"><img src="https://agentmods.dev/badge/skills/nicolasmelo1/logion/with-paid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.00320 |
| Opus 5.5 | $0.00021 | $0.00128 |
| Sonnet 5.5 | $0.00011 | $0.00064 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
with-paid scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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
fileandterminaltools.python3available 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/.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 47 lines · 53 tokens per session scan A b7f395a221eb
with-paid is a skill published in the GitHub repository nicolasmelo1/logion (40 stars, last pushed 18d ago), licensed MIT. It adds 53 tokens to every session and 320 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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