discover

A discovery workflow for deciding which AI agent to build, what outcome it should automate, and whether building or buying is more suitable.

In plain words
What is it for?
It helps explore agent ideas, analyse automation opportunities, compare build-versus-buy choices, and estimate development costs.
Why use it?
It helps turn broad automation ideas into specific opportunities and test the assumptions behind them before development begins.

Plugin for Claude Code

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.

Claude Code
/plugin marketplace add kimsanguine/hplan
agentmods
npx agentmods add plugins/kimsanguine/hplan/discover
Clone the repo
git clone --depth 1 https://github.com/kimsanguine/hplan

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
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 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.

discover/.claude-plugin/plugin.json · 23 lines

What it actually says

{
  "name": "discover",
  "version": "1.1.0",
  "description": "Discover which AI agent to build — map automation outcomes to solvable opportunities, validate assumptions, and decide build vs buy. Use when exploring agent ideas, analyzing automation opportunities, running build-or-buy analysis, or estimating agent development costs.",
  "author": {
    "name": "AI PM Skills Contributors",
    "url": "https://github.com/kimsanguine"
  },
  "repository": "https://github.com/kimsanguine/hplan",
  "license": "MIT",
  "keywords": [
    "agent",
    "discovery",
    "opportunity",
    "pm",
    "build-or-buy",
    "assumptions",
    "gtm",
    "go-to-market"
  ],
  "skills": "./skills/",
  "commands": "./commands/"
}
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 · 23 lines scan A 37d1022d2ede

Subscribe to this mod's changes

discover is a plugin published in the GitHub repository kimsanguine/hplan (2 stars, last pushed 16d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.