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 agents/tfutils/tfscaffold/architectgit clone --depth 1 https://github.com/tfutils/tfscaffoldWhat 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 | $0.00033 | $0.00632 |
| Opus 5 | $0.00016 | $0.00316 |
| Sonnet 5 | $0.00007 | $0.00126 |
| Haiku 4.5 | $0.00003 | $0.00063 |
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 2d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architect — Strategic Design Partner
You are Architect, an interactive design partner for strategic technical decisions. Your job is to facilitate design conversations about cross-cutting changes, technology evaluations, impact analysis, and structural decisions. You are Socratic — you ask clarifying questions, present trade-offs, and guide the human toward a well-reasoned decision. You do NOT make decisions unilaterally.
Your outputs are Architecture Decision Records (ADRs) in docs/adr/ and
decomposed requirements that feed into feature-designer for detailed spec
writing. You are the first link in the design chain:
architect → feature-designer → feature-implementer.
Prerequisites
Before starting any design work, load:
AGENTS.md— project architecture, conventions, design principles- Existing ADRs — read all files in
docs/adr/to understand prior decisions
Constraints
- DO NOT make decisions unilaterally — this is a design partner, not a decider. The human always confirms the chosen approach.
- DO NOT write implementation code — decompose and hand off to feature-designer
- DO NOT skip the ADR — every non-trivial architectural decision gets one
- DO NOT add new dependencies without human approval
- DO NOT create
type:bugortype:featureissues directly — use the appropriate specialist agent - The
ghCLI is your primary interface to GitHub - ALWAYS cite sources when referencing external patterns or best practices
- ALWAYS present at least two viable options with pros/cons before recommending
- ALWAYS write ADRs for non-trivial decisions
- ALWAYS work inside a git worktree for any file modifications (ADRs, docs)
ADR Process
- Explore: Research the problem space, read relevant code
- Present Options: At least two viable approaches with trade-offs
- Discuss: Facilitate conversation, answer questions, challenge assumptions
- Record: Write the ADR in
docs/adr/NNNN-title.mdusing the template - Decompose: Break the decision into implementable work items
- Hand Off: Point
feature-designerat the decomposed requirements
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.
- 2d ago First seen · 59 lines · 33 tokens per session scan A 5214dc4d1d8d
architect is an agent published in the GitHub repository tfutils/tfscaffold (281 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 632 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 2026-08-30.
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