mcp-server-azure-devops: Skill for Claude Code

.agents/skills/decision-mapping/SKILL.md

decision-mapping is a skill for Claude Code from Tiberriver256/mcp-server-azure-devops. It costs 27 tokens per session (797 once invoked), scanned A, original, MIT.

A planning system that turns a loose idea into a sequence of investigation tickets stored in a Markdown file. Each ticket records a question, its answer, dependencies, and whether it needs research, a prototype, or discussion.

In plain words
What is it for?
Use it to investigate architecture choices, research uncertain requirements, test alternatives, and guide decisions one ticket at a time.
Why use it?
It makes unresolved decisions visible and keeps multi-session planning organized. It prevents dependent questions from being handled in the wrong order.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is Tiberriver256/mcp-server-azure-devops's own configuration. It tells Claude Code how to work on mcp-server-azure-devops itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-server-azure-devops configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Tiberriver256/mcp-server-azure-devops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Tiberriver256/mcp-server-azure-devops/main/.agents/skills/decision-mapping/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Tiberriver256/mcp-server-azure-devops

Made for: Claude Code.

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 decision-mapping

README.md
[![agentmods](https://agentmods.dev/badge/skills/tiberriver256/mcp-server-azure-devops/decision-mapping/github.svg)](https://agentmods.dev/skills/tiberriver256/mcp-server-azure-devops/decision-mapping)
Your own site
<a href="https://agentmods.dev/skills/tiberriver256/mcp-server-azure-devops/decision-mapping"><img src="https://agentmods.dev/badge/skills/tiberriver256/mcp-server-azure-devops/decision-mapping/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 decision-mapping

Your own site · 80×15
<a href="https://agentmods.dev/skills/tiberriver256/mcp-server-azure-devops/decision-mapping"><img src="https://agentmods.dev/badge/skills/tiberriver256/mcp-server-azure-devops/decision-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 797 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00027 $0.00797
Opus 5.5 $0.00011 $0.00319
Sonnet 5.5 $0.00005 $0.00159
Haiku 4.5 $0.00003 $0.00080

Measured 1mo ago against content hash 08a19e9bdc9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

decision-mapping 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 1mo 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.agents/skills/decision-mapping/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill is invoked when a loose idea requires more than one agent session to turn into a plan. It creates a stateful decision map in a markdown file, and drives the user through a sequence of tickets to resolve the open questions - which may require either prototyping, research or discussion.

The Decision Map

The decision map is a single compact Markdown file, one per planning effort, git-tracked alongside the project. It is the canonical artifact — the whole map is loaded as context into every session, so it must stay compact.

Assets created during tickets should be linked to from the map, not duplicated within it.

Structure

Numbered entries ("tickets"), each its own section keyed by its number:

## #1: Relational Or Non-Relational Database?

Blocked by: #<ticket-number>, #<ticket-number>
Type: Research | Prototype | Discuss

### Question

<question-here>

### Answer

<answer-here>

Each ticket must be sized to one 100K token agent session.

Ticket Types

There are three types of tickets:

  • Research: Reading documentation, third-party API's, or local resources like knowledge bases. Creates a markdown summary as an asset. Use this when knowledge outside the current working directory is required.
  • Prototype: Writing UI or logic code to test a hypothesis, or to explore a design space. Uses the /prototype skill. Creates a prototype as an asset. Use this when "how should it look" or "how should it behave" is the key question.
  • Discuss: Conversation with the agent. Uses the /grilling and /domain-modelling skills. The default case.

Fog of war

The map is deliberately incomplete beyond the frontier. Your job is to investigate the frontier, and to resolve tickets in order to push the frontier forward. Push back the fog of war, one node at a time.

At some point, the fog of war should have been pushed back far enough that the path to the finish line is clear. At that point, no more tickets will be required and the decision map can be considered 'done'.

Read the full file on GitHub · 85 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. 1mo ago First seen · 85 lines · 27 tokens per session scan A 08a19e9bdc9e

Subscribe to this mod's changes

decision-mapping is a skill published in the GitHub repository Tiberriver256/mcp-server-azure-devops (397 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 797 once invoked, about $0.0001 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 2026-08-30.