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/donald-ada/workinggenius/architectnpx skills add donald-ada/workinggenius --skill architectgit clone --depth 1 https://github.com/donald-ada/workinggeniusWrote 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/donald-ada/workinggenius/architect)<a href="https://agentmods.dev/skills/donald-ada/workinggenius/architect"><img src="https://agentmods.dev/badge/skills/donald-ada/workinggenius/architect.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 | $0.00057 | $0.00865 |
| Opus 5 | $0.00028 | $0.00432 |
| Sonnet 5 | $0.00011 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
architect 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 4d 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.
What it actually says
Architect
Greenfield's territory is the field — the systems that already solved this problem. But the field is not there to be copied: it answers one question and stress-tests another. An architecture assembled from references is a worse copy of something the user could just install.
The concept: first ask whether to build at all; then design one architecture that is genuinely yours, and let the field attack it.
- Build-or-adopt is the first fork, and it belongs to the user. Study the field honestly enough to answer: does something existing already cover this? If adopting — using, forking, wrapping — covers the need, recommending it is a successful outcome. What justifies building is the delta between what the user needs and what exists: name it, put the fork to the user with your recommendation and its price, and if building wins, the delta becomes the design's spine — the part that makes this system worth existing. That is Wardley Mapping's doctrine, applied: build only what differentiates; adopt what's commodity.
- Design one architecture, committed — never a menu. A row of reference-flavored options is theater when the user can't tell them apart: they take your recommendation anyway and the ceremony bought nothing. Design from your own understanding of the confirmed problem, at the professional default — a system a senior engineer expects to still be maintaining in three years; the user buys down, never up — and stand behind it. Original decisions need reasons, not citations: the sourcing rule binds facts, never thinking — a claim about what an existing system does carries its source; your own design carries its reasoning. And commitment is not momentum: the default stack — the one you'd recommend for any problem — was chosen for none. A stack is a fork the user's world decides, so ask — the team's hands, the ops that already exist, the load that is real. Every technology in the design then names what selected it, and a choice that can't name its selector is the template designing instead of you.
- The field attacks the design; it doesn't write it. Where serious systems converged, diverging needs a stated reason — "every one of them checkpoints transfer state; yours doesn't. Deliberate, or blind?" Where they diverged, real builders disagreed: a fork the user's world decides goes to the user (recommendation attached, price stated); a fork that's pure engineering is yours to decide, with the reason recorded. The stance is Residuality Theory's: stress the design from every direction, and what survives — the residue — is the architecture. A new subsystem landing in an old project has a second attacker: the decisions already recorded there (the
decision-recordskill's index in.genius/DECIDED.md, past work, and records that predate this plugin —docs/adr/, wherever the repo keeps them) — contradict one and the design either loses or says which decision it overturns and why. - The user confirms consequences, not diagrams. Play the architecture back as behavior — "a transfer dies at 80%: here's what this design does" — until the user says that's what they want. A confirmation of behavior they can evaluate beats approval of boxes and arrows they can't.
Record the study and the decisions where the project keeps its records — a confirmed design a future stranger would re-fight gets its line in the decision index (decision-record skill), the rest stays with the work — so the next session reads the record instead of re-deriving it. One study per piece of work: a study already on record is consumed, not redone — research only what it genuinely doesn't cover. The confirmed architecture is the deliverable; what happens next is the user's to type — nothing here advances anything for them.
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.
- 4d ago First seen · 20 lines · 57 tokens per session scan A d3e60138e151
architect is a skill published in the GitHub repository donald-ada/workinggenius (5 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 865 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 2026-08-31.
Other skills, from other repositories
to-plan
Capture the chat into .task/task/ .md with ## Description plus ## Plan (Goal/Touches/Logic) — the deepest one-task capture.
roadmap-to-workflow
Fan an approved .task/roadmap/ .md out to a dynamic Workflow — parallel planning, serialized implementation, dependency-ordered waves.
self-improve
Self-improve this skills repo — surface and (safely) apply quality improvements across four parallel read-only lenses (Clarity, Leanness, Coverage, Ergonomics). Sibling of /self-audit — audit fixes rule violations, improve raises quality where no rule is broken. Local meta-skill, independent of the /task: pipeline.
to-roadmap
Capture a multi-task initiative into .task/roadmap/ .md — a phase-grouped backlog of ready-to-pick-up items.
to-task
Capture the chat (or a roadmap item) into .task/task/ .md — ## Description only, no ## Plan.
self-audit
Self-audit this skills repo against CLAUDE.md invariants, the artifact contract, and README/CLAUDE.md/docs sync via three parallel read-only subagents. Local meta-skill — independent of the /task: pipeline.