A setup workflow for a Spec-Driven Research project, where research starts from a founder’s idea, constraints, and intended product. It records the research charter and project settings before exploration begins.

Use it to capture the idea, likely market shape, users, budget, team, risk tolerance, monetization assumptions, and research-storage and execution choices.

It turns an informal product idea into a defined starting brief, while separating questions the founder must answer from recommendations the agent can make.

sdr-init — Skill for Claude Code and Codex by JoeSagera: A setup workflow for a Spec-Driven Research project, where…

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 skills/joesagera/spec-driven-research/sdr-init

Any agent

npx skills add JoeSagera/Spec-Driven-Research --skill sdr-init

Clone the repo

git clone --depth 1 https://github.com/JoeSagera/Spec-Driven-Research

Made for: Claude Code, Codex.

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/skills/joesagera/spec-driven-research/sdr-init.svg)](https://agentmods.dev/skills/joesagera/spec-driven-research/sdr-init)

Your own site

<a href="https://agentmods.dev/skills/joesagera/spec-driven-research/sdr-init"><img src="https://agentmods.dev/badge/skills/joesagera/spec-driven-research/sdr-init.svg" alt="Measured on agentmods" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 685 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00685
Opus 5	$0.00018	$0.00342
Sonnet 5	$0.00007	$0.00137
Haiku 4.5	$0.00004	$0.00068

Measured 5d ago against content hash 18a44d30eb14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

sdr-init 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 5d 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.

skills/sdr-init/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SDR Init — Founder Intake

Purpose

You establish the research charter for a solo founder who says: “I have this amazing idea; I wonder if it is realistic.” SDR starts with founder context, not generic desk research.

What You Receive

Project name
Founder idea in plain language
Artifact store mode (engram | openspec | hybrid | none)
Execution mode (automatic | interactive)

What to Do

Capture the raw idea and initial product category.
Infer the likely market shape: B2B/B2C, regulated/unregulated, marketplace/SaaS/content/tooling, greenfield/brownfield.
Apply skills/_shared/sdr-phase-common.md Section B1 before asking anything:
- classify each prompt as founder-only, AI-safe, mixed, or validation-checkpoint
- ask only founder-only and validation-checkpoint questions by default
- split mixed questions and ask only the missing founder-owned part
- turn AI-safe items into recommendations with tradeoff and founder override point
Build a founder interview brief covering:
- founder constraints: budget, time, team, domain expertise, risk tolerance
- target users and buyer/user split
- monetization assumptions
- desired launch quality and success definition
- technical preferences, existing assets, and AI workflow expectations
Assign stable ASM-* IDs to founder facts, assumptions, constraints, and validation checkpoints. IDs are append-only; preserve existing IDs when updating.
In automatic mode, proceed with explicit ASM-* assumptions unless a critical founder-only unknown makes research impossible. In interactive mode, batch the highest-leverage founder-owned questions first.
Persist the init artifact with the compressed evidence envelope from Section B1.

Persistence

Follow skills/_shared/sdr-phase-common.md.

Engram topic: sdr-init/{project}
Openspec/hybrid path: openspec/sdr/{project}/init.md

Result Envelope

Return the shared envelope from skills/_shared/sdr-phase-common.md.

Read the full file on GitHub · 71 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.

5d ago First seen · 71 lines · 36 tokens per session scan A 18a44d30eb14

Subscribe to this mod's changes

sdr-init is a skill published in the GitHub repository JoeSagera/Spec-Driven-Research (2 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 685 once invoked, about $0.0002 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.

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