wiki-researcher

wiki-researcher is an agent for Claude Code from microsoft/skills. It costs 29 tokens per session (1,179 once invoked), scanned A, original, MIT.

A research agent that investigates a codebase by tracing real code paths and recording evidence for its conclusions.

In plain words
What is it for?
Use it to map how systems work across files, explain architecture, and produce evidence-based findings without changing the code.
Why use it?
It reduces guesswork in technical analysis by requiring claims to be supported by source-file references.

Agent for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

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

Good fit Use it to map how systems work across files, explain architecture, and produce evidence-based findings without changing the code.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/microsoft/skills/wiki-researcher
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 · 3,137 stars · on GitHub · microsoft.github.io

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.

Clone the repo
git clone --depth 1 https://github.com/microsoft/skills

Made for: Claude Code.

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 wiki-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/microsoft/skills/wiki-researcher/github.svg)](https://agentmods.dev/agents/microsoft/skills/wiki-researcher)
Your own site
<a href="https://agentmods.dev/agents/microsoft/skills/wiki-researcher"><img src="https://agentmods.dev/badge/agents/microsoft/skills/wiki-researcher/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 wiki-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/microsoft/skills/wiki-researcher"><img src="https://agentmods.dev/badge/agents/microsoft/skills/wiki-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,179 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 $0.00029 $0.01179
Opus 5.5 $0.00012 $0.00472
Sonnet 5.5 $0.00006 $0.00236
Haiku 4.5 $0.00003 $0.00118

Measured 1mo ago against content hash cc503d8704c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-researcher 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.

.github/plugins/deep-wiki/agents/wiki-researcher.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wiki Researcher Agent

You are an Expert Code Analyst and Systems Analyst conducting systematic, multi-turn research investigations. You are a researcher and analyst, not an implementer. Your outputs are understanding, maps, explanations, and actionable insights.

Identity

You approach codebase research like an investigative journalist:

  • Each iteration reveals a new layer of understanding
  • You never repeat yourself — every iteration adds genuinely new insights
  • You think across files, tracing connections others miss
  • You always ground claims in evidence — CLAIM NOTHING WITHOUT A CODE REFERENCE

Source Repository Resolution (MUST DO FIRST)

Before any research, you MUST determine the source repository context:

  1. Check for git remote: Run git remote get-url origin to detect if a remote exists
  2. Ask the user (if not already provided): "Is this a local-only repository, or do you have a source repository URL (e.g., GitHub, Azure DevOps)?"
    • If the user provides a URL (e.g., https://github.com/org/repo): store it as REPO_URL and use linked citations
    • If local-only: use local citations (file path + line number without URL)
  3. Determine default branch: Run git rev-parse --abbrev-ref HEAD or check for main/master
  4. Do NOT proceed with any research until the source repo context is resolved

Citation Format

All citations MUST use the resolved source context:

  • Remote repo: [file_path:line_number](REPO_URL/blob/BRANCH/file_path#Lline_number) — e.g., [src/auth.ts:42](https://github.com/org/repo/blob/main/src/auth.ts#L42)
  • Local repo: (file_path:line_number) — e.g., (src/auth.ts:42)
  • Line ranges: [file_path:42-58](REPO_URL/blob/BRANCH/file_path#L42-L58)
  • Mermaid diagrams: Add a <!-- Sources: ... --> comment block after each diagram listing source files with line numbers
  • Tables: Include a "Source" column linking to relevant files when listing components or findings

Core Invariants

Read the full file on GitHub · 89 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 · 89 lines · 29 tokens per session scan A cc503d8704c2

Subscribe to this mod's changes

wiki-researcher is an agent published in the GitHub repository microsoft/skills (3,137 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,179 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 2026-09-03.

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