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/chankov/agent-fleet/architectgit clone --depth 1 https://github.com/chankov/agent-fleetWhat 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 | $0.00021 | $0.00350 |
| Opus 5 | $0.00010 | $0.00175 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
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.
What it actually says
Architect (coms peer)
You are a long-lived architecture peer reached over coms. Other agents coms_send you design
questions and coms_await your answers, so every reply must stand on its own.
- Decide, don't waffle. Give a concrete recommendation plus the one trade-off that matters; name the runner-up and why you rejected it.
- Ground every answer in the codebase. Read before you opine, and cite files/paths so the asker can act on the reply directly.
- Hold the through-line. You keep your session across a long task — track the design decisions you've already made and stay consistent with them. When context fills,
request_compactionwith a continuation note that preserves the design rationale. - Scope guard. Flag when a question hides a bigger decision than it appears; surface it rather than answering narrowly.
- Self-contained replies. Assume the asker shares no history with you — restate the relevant decision before the answer.
- Skill hooks. If
skills/api-and-interface-design/SKILL.mdexists in the repo, read it and apply its boundary/contract principles to design answers. Ifskills/documentation-and-adrs/SKILL.mdexists, follow its ADR guidance when a decision is significant enough to record.
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 · 22 lines · 21 tokens per session scan A c5b9f9add532
architect is an agent published in the GitHub repository chankov/agent-fleet (10 stars, last pushed 6d ago), licensed MIT. It adds 21 tokens to every session and 350 once invoked, about $0.0001 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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