MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Query active APIView reviews for a language and date range. An agent skill from Azure/azure-sdk-tools.
OfficialMITAuto-check passed
Install Report Active Reviews
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Azure/azure-sdk-tools report-active-reviews --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .claude/skills/report-active-reviews && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .claude/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviewsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Azure/azure-sdk-tools report-active-reviews --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .agents/skills/report-active-reviews && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .agents/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Azure/azure-sdk-tools report-active-reviews --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .cursor/skills/report-active-reviews && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .cursor/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Azure/azure-sdk-tools.git --path packages/python-packages/apiview-copilot/.github/skills/report-active-reviews--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Azure/azure-sdk-tools report-active-reviews --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .gemini/skills/report-active-reviews && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .gemini/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Azure/azure-sdk-tools report-active-reviewsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .github/skills/report-active-reviews && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .github/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Azure/azure-sdk-tools report-active-reviews --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Azure/azure-sdk-tools.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews .opencode/skills/report-active-reviews && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "report-active-reviews" agent skill from https://github.com/Azure/azure-sdk-tools/tree/main/packages/python-packages/apiview-copilot/.github/skills/report-active-reviews into .opencode/skills/report-active-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "report-active-reviews", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
report-active-reviews- GitHub stars
- 134
- Token cost
- ~1.2k tokens
- SKILL.md length
- 398 words
- Files
- 1
- Skills in repo
- 35
- Repo updated
- First seen
- Licence
- MIT
At a glance
Query active APIView reviews for a language and date range. An agent skill from Azure/azure-sdk-tools.
- Works in 2 steps: Run the Command → Answer Follow-up Questions
- : active reviews
- SKILL.md covers When to Use, Defaults, Date Resolution and Language, plus 4 more sections
- Calls python
What it does
Report Active Reviews is an agent skill from Azure/azure-sdk-tools, published by the product's own GitHub organization. Query active APIView reviews for a language and date range. Use for: active reviews, list reviews, show reviews, reviews for March, what reviews happened, which packages were reviewed, active reviews for Python.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python. The repository describes itself as: Tools repository leveraged by the Azure SDK team. The licence is MIT.
When your agent uses it
- : active reviews
- Reviews for March
- What reviews happened
- Which packages were reviewed
Example prompts
- “/report-active-reviews”
Requirements
- Python 3
Workflow steps
2 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 942ef24. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Report Active Reviews loads about 1.2k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 398 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Azure/azure-sdk-tools at commit 942ef24, republished under its MIT licence (© Azure). 398 words, ~1,163 tokens.
Download SKILL.mdSave it as
.claude/skills/report-active-reviews/SKILL.md (or your agent's skills folder).- name
- report-active-reviews
- description
- Query active APIView reviews for a language and date range. Use for: active reviews, list reviews, show reviews, reviews for March, what reviews happened, which packages were reviewed, active reviews for Python.
- argument-hint
- Language and month name (e.g. 'Python for March') or date range
Report Active Reviews
When to Use
- Listing which API reviews were active during a time period
- Checking which packages were reviewed for a specific language
- Verifying which revisions were approved vs unapproved
- Investigating review activity for a language
Defaults
Unless the user says otherwise, always apply these defaults:
- Environment:
production - Summary: Include
--summaryfor a quick overview (skip if user asks for full details or JSON) - Approved only: Do NOT pass
--approved-onlyunless the user explicitly asks
Date Resolution
The user will typically specify a calendar month by name (e.g. "March", "January 2025"). Resolve to the full month date range:
| User says | start_date | end_date |
|---|---|---|
| "March" (current year) | YYYY-03-01 | YYYY-03-31 |
| "January 2025" | 2025-01-01 | 2025-01-31 |
| "March 1 to March 15" | YYYY-03-01 | YYYY-03-15 |
When only a month name is given without a year, use the current year. Be careful with month lengths (28/29/30/31 days).
Language
The --language flag is optional. If omitted, the command returns results for all languages. When a language is provided, results are filtered to that language only.
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). Always redirect output to a file so follow-up questions can be answered without re-querying.
Full terminal command (cleanup + run):
New-Item -ItemType Directory -Path output -Force | Out-Null; if (Test-Path output/active_reviews_output.txt) { Remove-Item output/active_reviews_output.txt }; python cli.py report active-reviews -s <start_date> -e <end_date> -l <language> --summary 2>&1 | Out-File -Encoding UTF8 output/active_reviews_output.txtAfter the command completes, read the output file with read_file to get the results. Summarize the findings for the user.
For JSON mode (no --summary), use .json extension and do NOT use 2>&1:
New-Item -ItemType Directory -Path output -Force | Out-Null; if (Test-Path output/active_reviews_output.json) { Remove-Item output/active_reviews_output.json }; python cli.py report active-reviews -s <start_date> -e <end_date> -l <language> | Out-File -Encoding UTF8 output/active_reviews_output.jsonShow full SKILL.md (152 more words)Show less
Step 2: Answer Follow-up Questions
For follow-up questions about the same data (filtering, counting, searching), read the output file with read_file instead of re-running the command. The file is at output/active_reviews_output.txt (summary) or output/active_reviews_output.json (JSON).
Examples
# Python reviews for March 2025 (summary)
python cli.py report active-reviews -s 2025-03-01 -e 2025-03-31 -l python --summary
# C# reviews, approved only
python cli.py report active-reviews -s 2025-03-01 -e 2025-03-31 -l dotnet --approved-only --summary
# Full JSON output for Java
python cli.py report active-reviews -s 2025-03-01 -e 2025-03-31 -l java
# Staging environment
python cli.py report active-reviews -s 2025-03-01 -e 2025-03-31 -l python --summary --environment stagingAvailable Flags
| Flag | Type | Default | Description |
|---|---|---|---|
--start-date / -s | string | required | Start date (YYYY-MM-DD) |
--end-date / -e | string | required | End date (YYYY-MM-DD) |
--language / -l | string | None | Language to filter by (e.g., python, Go, C#). If omitted, returns all languages. |
--environment | string | production | production or staging |
--summary | flag | off | Table format instead of JSON (package, version, status, copilot) |
--approved-only | flag | off | Show only approved revisions |
Output Formats
- Summary mode (
--summary): Formatted table with PACKAGE, VERSION, STATUS (APPROVED/unapproved), COPILOT (YES/no), TYPE, APPROVED timestamp. - JSON mode (default): Array of objects with
review_id,name, andrevisionslist.
Gotchas
- Use
python cli.pynot.\avc: Theavc.batscript may resolve to system Python. - Month end dates: February has 28/29 days, April/June/Sept/Nov have 30 days.
© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in packages/python-packages/apiview-copilot/.github/skills/report-active-reviews of Azure/azure-sdk-tools.
Open the folder on GitHubat commit 942ef24
Compare with similar skills
Report Active Reviews next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Report Active Reviews this skillAzure/azure-sdk-tools | 134 | — | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Report Active Reviews
What does Report Active Reviews do?
Query active APIView reviews for a language and date range. An agent skill from Azure/azure-sdk-tools. Report Active Reviews is an agent skill from Azure/azure-sdk-tools, published by the product's own GitHub organization. Query active APIView reviews for a language and date range.
When should I use Report Active Reviews?
Report Active Reviews fits situations like: : active reviews; reviews for March; what reviews happened; which packages were reviewed.
How do I install Report Active Reviews in Claude Code?
Run `npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a claude-code`. Or copy the skill folder (packages/python-packages/apiview-copilot/.github/skills/report-active-reviews in Azure/azure-sdk-tools) into .claude/skills/report-active-reviews in your project. Claude Code loads it when a task matches its description.
How do I install Report Active Reviews in Codex?
Run `npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a codex`. Or copy the skill folder (packages/python-packages/apiview-copilot/.github/skills/report-active-reviews in Azure/azure-sdk-tools) into .agents/skills/report-active-reviews in your project. Codex loads it when a task matches its description.
Can I use Report Active Reviews in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Azure/azure-sdk-tools --skill report-active-reviews -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/report-active-reviews, .gemini/skills/report-active-reviews, .github/skills/report-active-reviews and .opencode/skills/report-active-reviews in your project.
What does Report Active Reviews need to run?
Going by SKILL.md and its folder, Report Active Reviews needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Report Active Reviews access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Report Active Reviews safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Report Active Reviews use?
Report Active Reviews is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Report Active Reviews use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Report Active Reviews?
Skills that share tags, products or a category with Report Active Reviews: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Report Active Reviews?
Azure (a GitHub organization, an official publisher) maintains it in Azure/azure-sdk-tools, which has 134 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 10, 2026.
Source: Azure/azure-sdk-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.