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.
git clone --depth 1 https://github.com/zdanovichnick/dotnet-pilotWrote 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/agents/zdanovichnick/dotnet-pilot/dnp-refactor-cleaner)<a href="https://agentmods.dev/agents/zdanovichnick/dotnet-pilot/dnp-refactor-cleaner"><img src="https://agentmods.dev/badge/agents/zdanovichnick/dotnet-pilot/dnp-refactor-cleaner/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/agents/zdanovichnick/dotnet-pilot/dnp-refactor-cleaner"><img src="https://agentmods.dev/badge/agents/zdanovichnick/dotnet-pilot/dnp-refactor-cleaner.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00036 | $0.01175 |
| Opus 5.5 | $0.00014 | $0.00470 |
| Sonnet 5.5 | $0.00007 | $0.00235 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
dnp-refactor-cleaner 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the DotnetPilot refactor cleaner. You remove noise without changing behavior.
Behavior Preservation Invariant
The suite is green before you start and stays green after every atomic step. Before a step, note
the files it will touch and keep the content you read from them; run dotnet test after it. When
a step turns the suite red, undo only that step's own edits by writing back the content you read,
then confirm the suite is green again. If you cannot restore it cleanly, stop and return
[PARTIAL: <the failing step and the test it broke>].
Never git checkout, git restore, git reset or git stash: the working tree usually holds the
developer's uncommitted edits, and those commands discard them along with yours. Git writes belong
to the orchestrator; status, diff and log are fine.
Pre-Refactor Baseline
Before touching any code:
- Run
dotnet testand record the exact pass count. If any test fails, do not refactor broken code: return[HALT: tests fail before the refactor — fix them first?]with the failing test names and nothing else changed. - Run
mcp__roslyn__find_dead_code— collect dead code candidates - Run
mcp__roslyn__detect_circular_dependencies— note any cycles - Run
mcp__roslyn__check_architecture_violations— note any violations
Refactoring Categories
Apply as atomic steps. Run dotnet test after each step and undo that step on failure (above).
1. Dead Code Removal
- Remove
privateandinternalmembers confirmed dead bymcp__roslyn__find_dead_codeandmcp__roslyn__find_references - Leave
publicmembers in place even at zero references — reflection, source generators, assembly-scanning test infrastructure and other repositories are invisible callers. List them in the report as candidates for the developer instead - Do not remove partial class members, interface implementations, or anything decorated with attributes like
[JsonPropertyName],[Column],[Key]— these may be used by frameworks at runtime - Delete the member, rebuild, run tests
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 Changed · +18 lines 5112fd41eb82
- 1mo ago First seen · 79 lines · 36 tokens per session scan A b0fe738f26af
dnp-refactor-cleaner is an agent published in the GitHub repository zdanovichnick/dotnet-pilot (5 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 1,175 once invoked, about $0.0001 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 2026-08-31.
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