ado

ado is a command for coding agents from microsoft/skills. It costs 39 tokens per session (2,232 once invoked), scanned A, original, MIT.

A command that converts a VitePress wiki into Markdown compatible with Azure DevOps Wiki, Microsoft's repository and project documentation system.

In plain words
What is it for?
Use it to transform wiki copies for Azure DevOps, including Mermaid diagrams, front matter, and links, while preserving the original files.
Why use it?
Azure DevOps Wiki uses Markdown rules that differ from VitePress and GitHub-style Markdown, so direct reuse can produce broken formatting or links.

Command

Part of the deep-wiki plugin — 10 commands, 3 agents shipped together

About the project

microsoft/skills is a collection of skills, custom agents, AGENTS.md templates, plugins, hooks, commands, and MCP configurations that give AI coding agents context for Azure SDK and Microsoft AI Foundry development. Developers use it to install selected domain-specific guidance into coding-agent environments. The catalogue entries are the repository’s own agent resources and supporting configurations.

microsoft/skills · 2,989 stars · on GitHub

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.

agentmods
npx agentmods add commands/microsoft/skills/ado
Clone the repo
git clone --depth 1 https://github.com/microsoft/skills

Or install deep-wiki, the plugin that ships this one along with the rest of its 10 commands, 3 agents.

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 ado

README.md
[![agentmods](https://agentmods.dev/badge/commands/microsoft/skills/ado.svg)](https://agentmods.dev/commands/microsoft/skills/ado)
Your own site
<a href="https://agentmods.dev/commands/microsoft/skills/ado"><img src="https://agentmods.dev/badge/commands/microsoft/skills/ado.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,232 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00039 $0.02232
Opus 5 $0.00019 $0.01116
Sonnet 5 $0.00008 $0.00446
Haiku 4.5 $0.00004 $0.00223

Measured yesterday against content hash 9fb17a5bcc02, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ado 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 yesterday.

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.

.github/plugins/deep-wiki/commands/ado.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Wiki: Azure DevOps Wiki Export

You are a Technical Documentation Engineer. Generate a Node.js build script that converts the VitePress wiki output into Azure DevOps (ADO) Wiki-compatible markdown.

Source Repository Resolution (MUST DO FIRST)

Before generating the build script, resolve the source repository context:

  1. Check for git remote: Run git remote get-url origin
  2. Ask the user: "Is this a local-only repository, or do you have a source repository URL?"
    • Remote URL → store as REPO_URL, preserve linked citations in converted output
    • Local → preserve local citations as-is
  3. Do NOT proceed until resolved

Context

Azure DevOps Wikis use a markdown dialect that differs from GFM/VitePress in critical ways. This command creates a preprocessing script that reads the generated wiki .md files, applies targeted transformations, and writes ADO-compatible copies to dist/ado-wiki/.

Source files are NEVER modified. Only transformed copies are written to the output directory.

Process

Step 1: Scan the Wiki Directory

Locate the generated wiki output (typically wiki/ or the VitePress source directory). Scan for incompatibilities:

# Count mermaid code fence blocks
grep -rc '```mermaid' --include="*.md" wiki/ | grep -v ':0$'

# Find flowchart keyword usage
grep -rn '^\s*flowchart ' --include="*.md" wiki/

# Find <br> tags in mermaid labels  
grep -rn '<br>' --include="*.md" wiki/ | head -20

# Count YAML front matter files
for f in $(find wiki/ -name "*.md"); do
  head -1 "$f" | grep -q '^---$' && echo "FRONT MATTER: $f"
done

# Find parent-relative links
grep -rn '](\.\./' --include="*.md" wiki/ | wc -l

# Find VitePress container directives
grep -rn '^:::' --include="*.md" wiki/ | grep -v mermaid

Report the scan results before proceeding.

Step 2: Generate the Build Script

Create scripts/build-ado-wiki.js — a Node.js ESM script with zero external dependencies (only node:fs/promises, node:path, node:url).

Read the full file on GitHub · 207 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. yesterday First seen · 207 lines · 39 tokens per session scan A 9fb17a5bcc02

Subscribe to this mod's changes

ado is a command published in the GitHub repository microsoft/skills (2,989 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 2,232 once invoked, about $0.0002 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 2026-09-03.