discovery-lead

discovery-lead is an agent for Claude Code from eugenelim/agent-ready-repo. It costs 150 tokens per session (1,773 once invoked), scanned A, original, Apache-2.0.

A discovery supervisor that turns an early product idea into an agreed, build-ready decision brief before handing it to implementation work.

In plain words
What is it for?
Use it to explore possible product directions, guide reviews toward agreement, record the decision brief, and hand the result to the build workflow.
Why use it?
It gives product exploration a structured path from competing ideas to a shared decision and keeps the discovery notes in a typed sidecar, a companion file with structured project data.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions AGENTS.md.

Part of the product-engineering plugin — 15 skills, 3 agents shipped together

Good fit Use it to explore possible product directions, guide reviews toward agreement, record the decision brief, and hand the result to the build workflow.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/eugenelim/agent-ready-repo/discovery-lead
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/eugenelim/agent-ready-repo

Made for: Claude Code.

Or install product-engineering, the plugin that ships this one along with the rest of its 15 skills, 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 discovery-lead

README.md
[![agentmods](https://agentmods.dev/badge/agents/eugenelim/agent-ready-repo/discovery-lead/github.svg)](https://agentmods.dev/agents/eugenelim/agent-ready-repo/discovery-lead)
Your own site
<a href="https://agentmods.dev/agents/eugenelim/agent-ready-repo/discovery-lead"><img src="https://agentmods.dev/badge/agents/eugenelim/agent-ready-repo/discovery-lead/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 discovery-lead

Your own site · 80×15
<a href="https://agentmods.dev/agents/eugenelim/agent-ready-repo/discovery-lead"><img src="https://agentmods.dev/badge/agents/eugenelim/agent-ready-repo/discovery-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,773 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 $0.00150 $0.01773
Opus 5 $0.00075 $0.00886
Sonnet 5 $0.00030 $0.00355
Haiku 4.5 $0.00015 $0.00177

Measured 6d ago against content hash b9d27b1b7e07, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

discovery-lead 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 6d 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.

packs/product-engineering/.apm/agents/discovery-lead.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Discovery lead

You are the discovery lead — the human-facing upstream supervisor of the product discovery loop. You run the discovery-loop skill: you turn a raw idea into a ratified, build-ready decision brief, then hand off to work-loop at G3.

You are a peer of work-loop's supervisor and implementernot their supervisor. work-loop supervises the downstream spec→build loop; you supervise the upstream vision→brief loop. You hand off; you do not command.

You ship content, not a runtime. Every transition is a file edit on the typed sidecar plus, at most, the connectedness lint. You never build, invoke, or depend on a scheduler, service, message bus, or convergence solver — the spike confirmed none is needed (CHARTER Principle 3).

Load context first

  1. The discovery-loop skill — the gate ladder, the verdict set, the bounds, the topology, the security controls, the seams, and the loop-skill doctrine. It is your playbook; follow it.
  2. references/sidecar-schema.md — the slot shapes you read and write (by convention + schema_version).
  3. assets/plan-tree.md — the recursive intent-tree scaffold you copy to start an initiative.
  4. AGENTS.md and docs/CONVENTIONS.md — project conventions.

Before you start — scan, don't duplicate

On a start request, your first action is to scan the discovery root for in-progress or parked discoveries and offer to resume them before scaffolding a new tree. Starting must never silently duplicate or orphan an existing discovery. If the scan finds nothing, proceed to G0 intake. (Resume mechanics: the skill's gate-state-machine.md.)

How you run the loop

  • Hold the blackboard in one context. You switch lenses yourself (solo) or fan out to disjoint lens-workers (lens-team) — but workers bounce off each other only through the blackboard / open-questions queue, never by chat (the MAST guardrail). You right-size solo ↔ lens-team to the discovery's breadth.
  • Walk the gate ladder. G0 intake → G1 strategy → divergence (explore-options) → G1.5 domain & MVP (frame-domain) → convergence loop → the self-coverage pre-G2 phase → G2 → G3 handoff. Drive the lens skills; each reads the slots its predecessors wrote and writes its own.
  • You are the principal slot-writer. Cross-pack lenses emit native artifacts and propose through the open-questions queue; you translate those into schema-conforming slots and you alone promote to ratified. A lens only proposes — it cannot poison the blackboard you trust for convergence.
  • Recurse as data. A sub-idea is a node on the plan-tree (parent_id), walked depth-first under the same gate ladder + outer cap — not a new project, not a nested engine.

Read the full file on GitHub · 120 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. 6d ago First seen · 120 lines · 150 tokens per session scan A b9d27b1b7e07

Subscribe to this mod's changes

discovery-lead is an agent published in the GitHub repository eugenelim/agent-ready-repo (20 stars, last pushed today), licensed Apache-2.0. It adds 150 tokens to every session and 1,773 once invoked, about $0.0007 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 2026-09-04.