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/attemainio/dotnet-toolkit/dotnet-selfevalnpx skills add Attemainio/dotnet-toolkit --skill dotnet-selfevalgit clone --depth 1 https://github.com/Attemainio/dotnet-toolkitWrote 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/attemainio/dotnet-toolkit/dotnet-selfeval)<a href="https://agentmods.dev/skills/attemainio/dotnet-toolkit/dotnet-selfeval"><img src="https://agentmods.dev/badge/skills/attemainio/dotnet-toolkit/dotnet-selfeval.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 | $0.00257 | $0.06131 |
| Opus 5 | $0.00129 | $0.03066 |
| Sonnet 5 | $0.00051 | $0.01226 |
| Haiku 4.5 | $0.00026 | $0.00613 |
Grade A, and why
dotnet-selfeval 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.
How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluating the toolkit against the repo it is pointed at
This plugin's whole claim is that its tools answer C# questions more completely, and for fewer tokens,
than Grep and Read. That claim is only ever exercised against whatever repo the server happens to be
loaded with — and repos differ in exactly the ways that break retrieval tools: nested types, partial
classes split across files, heavy overloading, generics, multi-targeted .csprojs, .slnx vs .sln,
source generators, unconventional folder layouts. This skill is the measurement pass that turns "the
tools feel efficient" into a per-call token number with a cheaper alternative next to it.
Prerequisite: Load dotnet-read skill
Before proceeding, ensure dotnet-read has been loaded. This skill contains the validated
cheap-route table that serves as the ground truth for route comparison, and teaches how to interpret
limitedBy values and workspace readiness. If you haven't read it yet, invoke dotnet-read.
This takes <1s and gives you:
- The cheap-route table of verified cheaper alternatives
- Workspace readiness rules for
stale,degraded, andindex_only - Best practices for
taskIdisolation and metrics sampling - Field naming conventions and response structure
Reading this before the evaluation ensures you're comparing against the correct baseline and can recognize when your own route analysis aligns with established guidance.
The one rule: specimen vs subject
The consuming repo is the specimen. dotnet-toolkit is the subject.
Every probe reads the repo the server is pointed at — whatever workspace_status reports as root,
resolved by SolutionLocator from DOTNET_TOOLKIT_PROJECT_DIR, then CLAUDE_PROJECT_DIR, then the
working directory. When this repo is the target it probes itself; installed elsewhere, it probes that
repo. Never aim the probes at a different repo than the loaded workspace — the semantic tools can
only answer for the loaded solution, so a cross-repo probe measures nothing.
What ships with it
1 file 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 · 326 lines · 257 tokens per session scan A ad8f9c657670
dotnet-selfeval is a skill published in the GitHub repository Attemainio/dotnet-toolkit (2 stars, last pushed 7d ago), licensed MIT. It adds 257 tokens to every session and 6,131 once invoked, about $0.0013 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 2026-08-31.
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