ci-analysis

ci-analysis is a skill for Claude Code from ANcpLua/ancplua-claude-plugins. It costs 132 tokens per session (2,417 once invoked), scanned A, original, MIT.

A skill for investigating build and test results from Azure DevOps and Helix, services used by some .NET projects for continuous integration.

In plain words
What is it for?
Use it to inspect .NET pull-request CI, collect failure details, classify test or build problems, and recommend next steps or retries.
Why use it?
It provides a structured way to determine why a pull request’s automated checks failed and whether the failures are actionable. It also distinguishes investigation from human-only approval or blocking decisions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the dotnet-dnceng plugin — 10 skills, 1 agent shipped together

Good fit Use it to inspect .NET pull-request CI, collect failure details, classify test or build problems, and recommend next steps or retries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ancplua/ancplua-claude-plugins/ci-analysis
Install

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.

Any agent
npx skills add ANcpLua/ancplua-claude-plugins --skill ci-analysis
Clone the repo
git clone --depth 1 https://github.com/ANcpLua/ancplua-claude-plugins

Made for: Claude Code.

Or install dotnet-dnceng, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

Wrote 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.

agentmods badge for ci-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/ci-analysis/github.svg)](https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/ci-analysis)
Your own site
<a href="https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/ci-analysis"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/ci-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.

agentmods 80×15 button for ci-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/ci-analysis"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/ci-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00132 $0.02417
Opus 5.5 $0.00053 $0.00967
Sonnet 5.5 $0.00026 $0.00483
Haiku 4.5 $0.00013 $0.00242

Measured 2mo ago against content hash 7f7cd945165e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ci-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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/Get-CIStatus.ps1, scripts/Test-KnownIssuePattern.ps1), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/dotnet-dnceng/skills/ci-analysis/SKILL.md · 133 lines

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.

Azure DevOps and Helix CI Analysis

Analyze CI build status and test failures in Azure DevOps and Helix for dotnet repositories (runtime, sdk, aspnetcore, roslyn, and more).

🚨 NEVER use gh pr review --approve or --request-changes. Only --comment is allowed. Approval and blocking are human-only actions.

Workflow: Gather PR context (Step 0) → collect failure data → synthesize recommendations. The agent drives the investigation; tools provide the data.

Accessing services: Start with MCP tools if available. Get repo-specific CI guidance early — it provides the investigation workflow, tool selection, failure patterns, and classification algorithm for that repo. The guidance evolves with the toolset, so it always reflects current capabilities.

If MCP tools aren't loaded, the Helix CLI tool provides the same capabilities via bash with progressive discovery.

For AzDO, multiple tool sets may exist for different organizations — match the org in the build URL to the correct tools (see references/azdo-helix-reference.md). If queries return null, check the org before trying other approaches. For complex investigations, track what you've tried in SQL to avoid repeating failed approaches.

When to Use This Skill

  • Checking CI status ("is CI passing?", "why is CI red?")
  • Investigating CI failures or determining merge readiness
  • Debugging Helix test issues or build errors
  • URLs containing dev.azure.com, helix.dot.net, or GitHub PR links with failing checks
  • Questions like "retry CI", "rerun tests", "test failures", "checks failing"
  • Investigating canceled or timed-out jobs for recoverable results

Not for: GitHub Actions workflows, non-Helix repos, or build performance (use binlog analysis).

💡 Per-repo CI patterns differ significantly. Get repo-specific guidance early — it tells you which tools to use, what log patterns to search for, and what gotchas to expect. This is the fastest path and prevents wasted calls.

Read the full file on GitHub · 133 lines

Changes

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.

  1. 2mo ago First seen · 133 lines · 132 tokens per session scan A 7f7cd945165e

Subscribe to this mod's changes

ci-analysis is a skill published in the GitHub repository ANcpLua/ancplua-claude-plugins (6 stars, last pushed 2d ago), licensed MIT. It adds 132 tokens to every session and 2,417 once invoked, about $0.0005 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.

Related

ci-analysis compared with skills from other repositories

ci-analysis next to 6 skills from other repositories
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ci-analysisANcpLua/ancplua-claude-pluginsSkill62d agoMITA132Claude Code
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