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 OneDro1d/dark-factory --skill dark-factory-buildgit clone --depth 1 https://github.com/OneDro1d/dark-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/onedro1d/dark-factory/dark-factory-build)<a href="https://agentmods.dev/skills/onedro1d/dark-factory/dark-factory-build"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/dark-factory-build/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.
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/dark-factory-build"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/dark-factory-build.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00073 | $0.03561 |
| Opus 5 | $0.00036 | $0.01781 |
| Sonnet 5 | $0.00015 | $0.00712 |
| Haiku 4.5 | $0.00007 | $0.00356 |
Grade A, and why
dark-factory-build 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 10d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dark Factory Build — end-to-end orchestrator
Overview
This skill runs a complete Dark Factory build: intent → semantics → design → tests → code → verification → live proof → shipped + documented. It is the conductor; the per-stage df-* skills do the work. Everything is modeled through the data-transform lens (data nodes + pure/effect transforms + validation rules + authority), built test-first, verified adversarially (never on a self-report), executed autonomously in dev/non-prod, and documented as tickets + DF spec docs + memory at every step.
It is the generalization of a real run: a DEX arbitrage bot taken from half-finished to a liquidity-aware arbitrage engine with 5 DF docs, TDD + ~290k-case adversarial fuzz, and a live on-chain no-overshoot proof — all ticketed and committed.
When to use
- "Build this the dark factory way" / "run a DF build" / "do this end-to-end autonomously."
- A spec or half-built project needs to be finished with docs + TDD + verification + tickets.
- Any non-trivial feature where you want the full discipline: semantics first, blind-verified, evidence-backed.
For a single stage only (just the PO doc, just TDD), invoke that df-* skill directly instead.
The pipeline
Run the stages in order. Each stage has an owning df-* skill, a concrete artifact, and a ticket. Earlier stages gate later ones (a cold reader must be able to build the next stage from the previous artifact alone).
You MUST call the owning skill before producing that stage's artifact. Reading this table is not running the stage. The table tells you which skill owns the stage; the skill itself carries the checklist, the required artifact shape, and the verification steps — none of which are reproduced here, and all of which are silently skipped if you write the doc directly.
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.
- 10d ago First seen · 157 lines · 73 tokens per session scan A 6dd941171c5f
dark-factory-build is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 3,561 once invoked, about $0.0004 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 2026-09-01.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…