Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/f-u-s-e-e/fusedevelopmentgroup/analyzing-dotnet-performancenpx skills add F-U-S-E-E/FuseDevelopmentGroup --skill analyzing-dotnet-performancegit clone --depth 1 https://github.com/F-U-S-E-E/FuseDevelopmentGroupWrote 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/f-u-s-e-e/fusedevelopmentgroup/analyzing-dotnet-performance)<a href="https://agentmods.dev/skills/f-u-s-e-e/fusedevelopmentgroup/analyzing-dotnet-performance"><img src="https://agentmods.dev/badge/skills/f-u-s-e-e/fusedevelopmentgroup/analyzing-dotnet-performance.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00064 | $0.02563 |
| Opus 5 | $0.00032 | $0.01282 |
| Sonnet 5 | $0.00013 | $0.00513 |
| Haiku 4.5 | $0.00006 | $0.00256 |
Grade A, and why
analyzing-dotnet-performance 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 3d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
7 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.
- 3d ago First seen · 197 lines · 64 tokens per session scan A 9980c08c82a1
analyzing-dotnet-performance is a skill published in the GitHub repository F-U-S-E-E/FuseDevelopmentGroup (21 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 64 tokens to every session and 2,563 once invoked, about $0.0003 per session on Opus 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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