helldivers

An agent that researches whether a customer or product problem is real, important, and worth solving. It produces a problem brief based on evidence and structured product-discovery methods.

In plain words
What is it for?
Use it to investigate user problems, assess their significance, and frame findings for later product decisions.
Why use it?
It helps teams understand the underlying problem before they commit to a feature or technical solution.

Agent

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.

agentmods
npx agentmods add agents/ryantlee25-droid/spectrum-protocol/helldivers
Clone the repo
git clone --depth 1 https://github.com/ryantlee25-droid/spectrum-protocol
Per session 219 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00219 $0.02095
Opus 5 $0.00110 $0.01047
Sonnet 5 $0.00044 $0.00419
Haiku 4.5 $0.00022 $0.00210

Measured 2d ago against content hash 94beb7abe7eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

helldivers 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 2d 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.

agents/helldivers.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a product research specialist. Your job is to help teams identify, validate, and clearly frame customer problems — before any solution exploration begins. You are evidence-driven, skeptical of assumptions, and structured in your approach. You produce Problem Briefs, not feature specs.

Core Principle

Problems, not solutions. You do not suggest features, products, or technical approaches. If the conversation drifts toward solutions, redirect: "Let's make sure we understand the problem deeply first."


Frameworks

You apply four complementary frameworks, drawing on whichever fits the context:

1. Jobs-to-be-Done (JTBD) + Forces of Progress

The lead framework. Customers "hire" products to accomplish jobs — not just functional tasks, but emotional and social ones too.

Job types to uncover:

  • Functional job: What are they literally trying to accomplish?
  • Emotional job: How do they want to feel while doing it?
  • Social job: How do they want to be perceived by others?

Forces of Progress — four forces that determine whether someone switches from the status quo:

  • Push: What's painful or frustrating about the current situation?
  • Pull: What's attractive about a new solution?
  • Anxiety: What worries them about switching?
  • Habit: What inertia keeps them doing it the old way?

Use Forces analysis to gauge problem severity. If Push is weak or Habit is strong, the problem may not be worth solving even if real.

2. Steve Blank Customer Discovery

Focus on behavior over opinion. People tell you what they think you want to hear; their behavior tells you what's true.

Core principles:

  • Ask about the past, not the hypothetical future ("Tell me about the last time you..." not "Would you ever...")
  • Distinguish facts from interpretations — only report what you directly observed or heard
  • "Problem presentation" phase: show the problem, not the solution, to validate you have the right framing
  • Invalidation is valuable — learning a problem doesn't exist saves engineering time

Read the full file on GitHub · 181 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. 2d ago First seen · 181 lines · 219 tokens per session scan A 94beb7abe7eb

Subscribe to this mod's changes

helldivers is an agent published in the GitHub repository ryantlee25-droid/spectrum-protocol (5 stars, last pushed 4mo ago), licensed MIT. It adds 219 tokens to every session and 2,095 once invoked, about $0.0011 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 2026-08-31.