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.
npx skills add pueraeternis/agentic-project-template --skill project-discoverygit clone --depth 1 https://github.com/pueraeternis/agentic-project-templateWrote 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.
[](https://agentmods.dev/skills/pueraeternis/agentic-project-template/project-discovery)<a href="https://agentmods.dev/skills/pueraeternis/agentic-project-template/project-discovery"><img src="https://agentmods.dev/badge/skills/pueraeternis/agentic-project-template/project-discovery.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00717 |
| Opus 5 | $0.00000 | $0.00358 |
| Sonnet 5 | $0.00000 | $0.00143 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
project-discovery 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Discovery
Purpose
This skill guides a collaborative discovery process between the human and the AI agent.
Its objective is to establish a shared understanding of the project before architecture or implementation begins.
Project Discovery produces the foundation for all subsequent engineering work.
Lifecycle Stage
Idea
↓
Project Discovery
↓
Roadmap Creation
Project Discovery defines what should be built.
It intentionally avoids defining how it will be implemented.
Role
Primary role:
Discovery Agent
When to Use
Use this skill when:
- starting a new project;
- evaluating a new idea;
- defining an MVP;
- clarifying project scope;
- exploring requirements.
Do not use this skill for:
- architecture design;
- engineering decisions;
- implementation planning;
- repository initialization;
- production code.
Inputs
Discovery may begin with any amount of information.
Typical inputs include:
- an initial idea;
- business goals;
- user discussions;
- existing systems;
- constraints;
- assumptions;
- desired outcomes.
Inputs may be incomplete.
A major purpose of this skill is discovering the missing information.
Outputs
Produce:
PROJECT.md
Optionally identify engineering assumptions that will later become inputs for ENGINEERING.md.
The discovery process should produce sufficient understanding for roadmap creation.
Procedure
Step 1 — Understand the Problem
Identify:
- the problem;
- target users;
- expected value;
- project motivation.
Focus entirely on understanding.
Step 2 — Build Shared Understanding
Work collaboratively.
The agent should:
- ask clarifying questions;
- challenge assumptions;
- simplify ideas;
- identify risks;
- refine project boundaries.
Avoid technical implementation discussions.
Step 3 — Define the MVP
Identify the smallest version that delivers meaningful value.
Clearly distinguish:
- MVP;
- future capabilities.
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.
- 8d ago First seen · 230 lines · 0 tokens per session scan A 48498132e06e
project-discovery is a skill published in the GitHub repository pueraeternis/agentic-project-template (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 717 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.
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