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 skills add managedcode/dotnet-skills --skill code-analysisgit clone --depth 1 https://github.com/managedcode/dotnet-skillsWrote 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/managedcode/dotnet-skills/code-analysis)<a href="https://agentmods.dev/skills/managedcode/dotnet-skills/code-analysis"><img src="https://agentmods.dev/badge/skills/managedcode/dotnet-skills/code-analysis/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/managedcode/dotnet-skills/code-analysis"><img src="https://agentmods.dev/badge/skills/managedcode/dotnet-skills/code-analysis.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 | $0.00099 | $0.02042 |
| Opus 5.5 | $0.00040 | $0.00817 |
| Sonnet 5.5 | $0.00020 | $0.00408 |
| Haiku 4.5 | $0.00010 | $0.00204 |
Grade A, and why
code-analysis 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- dotnet-code-analysis — 95% identical, 14 lines differ
- dotnet-code-analysis — 95% identical, 14 lines differ
- dotnet-code-analysis — 94% identical, 16 lines differ
- code-analysis — 92% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Code Analysis
Diagnostic Output Budget
Keep warnings/errors and a concise result; avoid routine verbose or diagnostic console output. Preserve native progress/ANSI when running tests. On failure, show only the relevant diagnostic and stack frames, deduplicated and capped at 80 lines / 8 KiB per response. Collect extra diagnostics only for an unresolved problem in size-bounded artifacts outside model context; link them and inspect exact bounded excerpts. Never dump full logs/reports or hide the command exit code through filtering.
Trigger On
- the repo wants first-party .NET analyzers
- CI should fail on analyzer warnings
- the team needs
AnalysisLevelorAnalysisModeguidance - the repo needs a gradual Roslyn warning promotion strategy
Do Not Use For
- third-party analyzer selection by itself
- formatting-only work
Inputs
- the nearest
AGENTS.md - project files or
Directory.Build.props - current analyzer severity policy
Hard Rules for AI Agents
Non-negotiable. Violating these undermines the user's explicit intent.
- Never disable or remove
TreatWarningsAsErrorsorWarningsAsErrorsif the project has set them. Do not comment them out, set tofalse, wrap in a condition, or add<TreatWarningsAsErrors>false</TreatWarningsAsErrors>to make the build pass. - Never add
<NoWarn>or#pragma warning disablefor warnings the user chose to treat as errors, unless the user explicitly approves the suppression. - Never silently downgrade severity in
.editorconfig(e.g.errortowarningornone) to make a build succeed. - If warnings-as-errors breaks the build — fix the code. If the fix is too large, ask the user whether to defer that warning ID.
- If warning volume is too large to fix in one pass — report count and categories to the user and ask which to tackle first. Do not unilaterally disable the policy.
Workflow
flowchart TD
A[Start] --> B{New or legacy project?}
B -->|New| C[TreatWarningsAsErrors=true immediately]
B -->|Legacy| D[dotnet build, count warnings by ID]
D --> E{"< 30 warnings?"}
E -->|Yes| F[Fix all, then enable TreatWarningsAsErrors]
E -->|No| G[Report counts to user, ask which batch first]
G --> H[Add selected IDs to WarningsAsErrors]
H --> I[Fix that batch, verify build]
I --> J{More batches?}
J -->|Yes| G
J -->|No| F
C --> K[Set AnalysisLevel latest-recommended]
F --> K
K --> L[Promote security CA3xxx/CA5xxx to error in .editorconfig]
L --> M[Validate: build + CI green]
What ships with it
4 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 Changed · +4 lines 34cc9ed0298d
- 1mo ago First seen · 192 lines · 99 tokens per session scan A e3109d36fdd2
code-analysis is a skill published in the GitHub repository managedcode/dotnet-skills (495 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 2,042 once invoked, about $0.0004 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 2026-09-03.
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