mcpbeat

Report Apiview Metrics

azure/report-apiview-metrics

Run APIView platform metrics (versioned revisions and cross-language compliance). Use for: apiview metrics, platform metrics, version coverage, versioned revisions, cross-language compliance, compliance metrics, PackageVersion coverage, CrossLanguagePackageId, apiview-metrics, parser compliance.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
136
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Azure/azure-sdk-tools --skill report-apiview-metrics

The instruction itself

11 sections, as written by the author

Report APIView Metrics

When to Use

  • Monitoring progress toward 100% versioned revisions across languages
  • Checking cross-language metadata compliance (CrossLanguagePackageId)
  • Generating trend charts for APIView platform health
  • Reviewing parser compliance over time

What It Produces

A combined report with two metric buckets:

| Bucket | What it measures |

|--------|-----------------|

| versions | % of revisions with a valid PackageVersion, broken out by language and revision type (Automatic, Manual, PullRequest) |

| compliance | % of reviews whose latest revision includes CrossLanguagePackageId (from CrossLanguageMetadata) |

Output is JSON with top-level "versions" and "compliance" keys. With --summary, human-readable tables are printed to stderr.

Defaults

Unless the user says otherwise, always apply these defaults:

  • Environment: production
  • Months: 6
  • Languages: Python, C#, Java, JavaScript, Go (all included by default — do not pass --languages unless user restricts)
  • Chart: Include --chart unless user says no charts

Running the Command

Step 1: Run the Command

Show the resolved command and run it immediately in a foreground terminal with a 120-second timeout (timeout: 120000). Clean up stale output first.

New-Item -ItemType Directory -Path output -Force | Out-Null; New-Item -ItemType Directory -Path output/charts -Force | Out-Null; if (Test-Path output/apiview_metrics_output.json) { Remove-Item output/apiview_metrics_output.json }; python cli.py report apiview-metrics --chart --summary 2>$null | Out-File -Encoding UTF8 output/apiview_metrics_output.json

After the command completes, read the output file with read_file to get the JSON results. Then use view_image to display charts at:

  • output/charts/apiview_version_trends.png
  • output/charts/cross_language_compliance.png

Examples

# Default: 6 months, all languages, production, with charts
python cli.py report apiview-metrics --chart

# With human-readable summary tables on stderr
python cli.py report apiview-metrics --chart --summary

# Custom lookback
python cli.py report apiview-metrics --months 3 --chart

# Specific end date
python cli.py report apiview-metrics --months 6 --end-date 2026-04-30 --chart

# Specific languages only
python cli.py report apiview-metrics --languages Python Java --chart

# Staging environment
python cli.py report apiview-metrics --chart --environment staging

Step 2: Present Results

After reading the output file:

  • Summarize the version-coverage trends (highlight languages below 100%)
  • Summarize the compliance trends (highlight languages below 100%)
  • Show the chart images with view_image

Step 3: Answer Follow-up Questions

For follow-up questions about the same data, read the output file instead of re-running the command.

Available Flags

| Flag | Type | Default | Description |

|------|------|---------|-------------|

| --months | int | 6 | Number of calendar months to look back from end date |

| --end-date / -e | string | today | Inclusive query end date (YYYY-MM-DD) |

| --languages | list | all 5 | Space-separated language names to include |

| --chart | flag | off | Generate PNG trend charts to output/charts/ |

| --summary | flag | off | Print human-readable summary tables to stderr |

| --environment | string | production | production or staging |

Gotchas

  • Redirect stdout to a file: Always pipe through | Out-File -Encoding UTF8 output/apiview_metrics_output.json. Do NOT use > which produces UTF-16 in PowerShell 5.1.
  • Do NOT use 2>&1: This merges stderr log lines into the JSON output, producing invalid JSON.
  • Clean up before running: Delete previous output files before running to avoid presenting stale results.
  • Use python cli.py not .\avc: Ensures the correct Python environment is used.
  • Use read_file and view_image: Do NOT use additional terminal commands to read output files or display charts.
  • Built-in exclusions: c, c++, typespec, swagger, xml are always excluded automatically.

How to use it

Copy the folder

Take azure/report-apiview-metrics from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.