A command for examining an existing codebase or business capability landscape. It identifies what exists, what is missing, and what needs attention.

Use it to inspect an Azure DevOps codebase, map business functions to applications, find capability gaps, score technical debt, and create remediation backlog items.

It gives teams evidence about technical debt, capability gaps, and areas needing investment when they are starting unfamiliar work or reviewing a system.

discover — Command for Claude Code by vijayjoshi24/ea-agent-skills

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/vijayjoshi24/ea-agent-skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/vijayjoshi24/ea-agent-skills/discover/github.svg)](https://agentmods.dev/commands/vijayjoshi24/ea-agent-skills/discover)

Your own site

<a href="https://agentmods.dev/commands/vijayjoshi24/ea-agent-skills/discover"><img src="https://agentmods.dev/badge/commands/vijayjoshi24/ea-agent-skills/discover/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/vijayjoshi24/ea-agent-skills/discover"><img src="https://agentmods.dev/badge/commands/vijayjoshi24/ea-agent-skills/discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 323 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00323
Opus 5.5	$0.00000	$0.00129
Sonnet 5.5	$0.00000	$0.00065
Haiku 4.5	$0.00000	$0.00032

Measured 2mo ago against content hash b32641686b80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

discover 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 2mo 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.

.claude/commands/discover.md · 52 lines

What it actually says

/discover

Analyse an existing system, codebase, or capability landscape to surface what's there, what's missing, and what needs attention.

When to use

Starting a new engagement, onboarding to an unfamiliar system, conducting an architecture health check, or preparing for a transformation programme.

What it produces

For a codebase (Azure ADO repo)

Tech debt score across 5 domains (Architecture, Code Quality, Security, Data & Integration, Testing)
Prioritised findings with file-level evidence
ADO-importable backlog of remediation items

For a business landscape

Business Capability Map with gap analysis
Heatmap showing investment vs. strategic importance
Application-to-capability mapping

How to invoke

/discover

Then specify what you want to discover:

/discover codebase
org: myorg  project: MyProject  repo: my-service  branch: main
PAT: [your Azure DevOps PAT with Code:Read scope]

/discover capabilities
Here are our business functions: [paste list or description]
Map them against our application portfolio and show where we have gaps.

/discover landscape
We're a credit card issuer. Our key domains are: account origination,
servicing, payments, fraud, and digital channels. Help me map what
capabilities we need in each domain.

Activates skills

Codebase → skills/tech-debt-scan/
Capabilities / landscape → skills/capability-map/

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.

2mo ago First seen · 52 lines · 0 tokens per session scan A b32641686b80

Subscribe to this mod's changes

discover is a command published in the GitHub repository vijayjoshi24/ea-agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 323 tokens. 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 2026-08-31.

Planning

discover next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
discovervijayjoshi24/ea-agent-skills	Command	5	6mo ago	MIT	A	0	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code