Azure SDK for .NET is a repository containing the actively developed C# libraries that applications use to work with Azure services. It is for .NET developers building software that connects to Azure storage, management, and other cloud services.
Borrowing it
Nothing to install: this file belongs to Azure/azure-sdk-for-net. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Azure/azure-sdk-for-net/main/.github/skills/auto-build-repair/SKILL.mdgit clone --depth 1 https://github.com/Azure/azure-sdk-for-netWrote 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/azure/azure-sdk-for-net/auto-build-repair)<a href="https://agentmods.dev/skills/azure/azure-sdk-for-net/auto-build-repair"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-net/auto-build-repair/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/azure/azure-sdk-for-net/auto-build-repair"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-net/auto-build-repair.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 15 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 15 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 130 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- low Excessive Agency · line 73 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00149 | $0.03813 |
| Opus 5 | $0.00075 | $0.01906 |
| Sonnet 5 | $0.00030 | $0.00763 |
| Haiku 4.5 | $0.00015 | $0.00381 |
Grade A, and why
auto-build-repair 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 7d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Build Repair
Purpose-built, headless skill that repairs an already-generated Azure SDK pull request whose build fails because of custom (non-generated) code that has drifted from the regenerated surface.
This is NOT a migration. The SDK PR already exists, the TypeSpec source is already pinned via tsp-location.yaml, and most of the diff is generated code. Your only job is to drive the shared azure-sdk-mcp:azsdk_customized_code_update engine — in custom-code-only scope (editScope: CustomCode) — re-invoking it up to maxIterations times (a cross-language repair bound; its per-language value is read from repair-config.yml, see Bounds) until the package builds, then stop. Do not hand-edit code and do not use any other fix engine (e.g. the per-language generator-agent); the cross-language design centralizes the fix logic in this one shared tool.
When Invoked
The Copilot cloud agent runs this skill on an Auto SDK PR created by the release-planner generation flow and labeled auto-sdk-build-fix. Trigger phrases: "auto build repair", "repair build", "fix the SDK PR build", "auto-sdk-build-fix", "custom-code build repair".
This skill runs non-interactively in an ephemeral environment. Never prompt the user for input (no spec repo path, no confirmations). If you cannot proceed within scope, stop and emit structured guidance (see Stop Conditions).
The engine: azure-sdk-mcp:azsdk_customized_code_update
This skill is a thin wrapper. All classification → fix → regenerate → rebuild logic lives inside the shared azure-sdk-mcp:azsdk_customized_code_update tool, which already handles .NET (partial classes / [CodeGen*]), Python (_patch.py), and Java (*Customization.java). Do not replicate its behavior by editing files yourself, and do not invoke a per-language generator-agent — the design deliberately uses this single shared engine.
Requires azsdk ≥ 0.6.22 — the
editScopeparameter (and optionaltspProjectPath) used below shipped in azsdk-cli0.6.22. The cloud agent installs the MCP tool viaeng/common/mcp/azure-sdk-mcp.ps1, which defaults to the latest release, so this is satisfied automatically; no version pin needs bumping.
What ships with it
8 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.
- emit-repair-report.ps1 24 KB runs code
- evals/eval.yaml 2.6 KB
- evals/trigger.eval.yaml 2.5 KB
- repair-config.yml 627 B
- telemetry-schema.v1.json 2.5 KB
- test/emit-repair-report.tests.ps1 26 KB runs code
- test/sdk-build-repair-push-gate.tests.ps1 7.0 KB runs code
- test/sdk-build-repair-trigger.tests.ps1 3.3 KB runs code
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.
- 7d ago Changed 1f83b163635a
- 12d ago First seen · 133 lines · 149 tokens per session scan A 149c1db4fd51
auto-build-repair is a skill published in the GitHub repository Azure/azure-sdk-for-net (6,050 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 3,813 once invoked, about $0.0007 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.
Other skills, from other repositories
cosmos-design-struct
Enforce consistent struct design conventions across sdk/cosmos crates. Validates visibility modifiers, field privacy, #[nonexhaustive] usage, and construction API patterns (Default/new with with setters, or optional separate builders with builder()/build()), and construction correctness on public structs. Can auto-fix…
cosmos-pre-commit-validation
Run pre-commit checks for a specific set of crates. Use this when validating changes under sdk/cosmos before committing or during code review.
azure-messaging
Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue…
cu-sdk-setup
Guide SDK users through setting up their Java environment for Azure AI Content Understanding. Use this skill when users need help installing the SDK, configuring Azure resources, deploying required models, setting environment variables, or running samples.
sap-background-jobs
Investigate SAP background jobs, including failed or aborted jobs, job status, job steps, job logs, runtime dumps, TBTCO, TBTCP, and TBTCJOBLOG0-9.
chrome-devtools-mcp
Use Chrome DevTools MCP from .NET agents and .NET-focused repos to inspect, debug, and automate Chrome through an MCP client. USE FOR: the repo needs browser-level debugging for ASP.NET Core, Blazor, WebAssembly, or any .NET app with a web UI; the user wants an MCP server that can inspect console. DO NOT USE FOR: pure…