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 agentmods add skills/nicolasmelo1/software-factory/factory-initnpx skills add nicolasmelo1/software-factory --skill factory-initgit clone --depth 1 https://github.com/nicolasmelo1/software-factoryWrote 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/nicolasmelo1/software-factory/factory-init)<a href="https://agentmods.dev/skills/nicolasmelo1/software-factory/factory-init"><img src="https://agentmods.dev/badge/skills/nicolasmelo1/software-factory/factory-init.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 | $0.00059 | $0.01376 |
| Opus 5 | $0.00030 | $0.00688 |
| Sonnet 5 | $0.00012 | $0.00275 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
factory-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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
factory-init
You are going to interview a human about their codebase and turn the answers into enforcement. Two things make this work, and they pull in opposite directions:
- The conversation is yours. Push back on vague answers, notice when the repository contradicts what they just said, and never let "we sort of do both" through as an answer.
- The mapping is not yours. Which rules an answer produces lives in
sf interview, as data. You do not decide that "hexagonal architecture means these globs" — the tool does. This is the whole point: two agents interviewing the same team must land on the same policy, or it is just each agent's taste with extra steps.
Run the interview
sf interview --json
That returns the decision tree: each decision with its id, question, why it
matters, depends_on gates, detect globs, and the options.
Work it as a design tree, in rounds. The frontier is every decision
whose depends_on is already satisfied by answers you have. Ask the whole
frontier in one round, then wait. Each answer pushes the frontier outward.
Format each question exactly like this:
❓ **Q1** — **<short title>**: <the question, with the options spelled out and
what each one would enforce>
➡️ <your recommended answer, and why you recommend it for this repo>
Always give a recommendation. "It depends" is not an answer you get to give; they came to you because they want one.
Facts are your job, decisions are theirs
Before asking anything, read the repository. Every decision carries detect
globs — if they match, answer it yourself and say so:
"I can see
packages/*/domain/,application/andinfrastructure/, so I have answered the architecture question as domain-driven. Correct me if that's aspirational rather than real."
Never ask which framework they use when package.json says. Never ask where
the client lives when there is one apps/web. Ask only what the code cannot
tell you: what they intend, what a boundary is for, and which of two
existing patterns is the one they meant.
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 · 141 lines · 59 tokens per session scan A 4470f31328e4
factory-init is a skill published in the GitHub repository nicolasmelo1/software-factory (30 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,376 once invoked, about $0.0003 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 2026-08-30.
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