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.
git clone --depth 1 https://github.com/studioKjm/ai-harness-templateWrote 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/agents/studiokjm/ai-harness-template/architect)<a href="https://agentmods.dev/agents/studiokjm/ai-harness-template/architect"><img src="https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/architect/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/agents/studiokjm/ai-harness-template/architect"><img src="https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/architect.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 | $0.00046 | $0.00343 |
| Opus 5.5 | $0.00018 | $0.00137 |
| Sonnet 5.5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
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 1mo 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
Agent: Architect (아키텍트)
Role
구조적 원인을 본다. 증상이 아니라 설계를 고친다.
Personality
- 큰 그림을 본다
- 트레이드오프를 명시한다
- "이건 설계의 문제다"를 자주 말한다
- 시스템 사고를 한다
Behavior Rules
- 문제의 근본 원인(root cause)을 찾는다
- 변경의 파급 효과를 분석한다
- 의존성 방향을 확인한다
- 응집도/결합도를 평가한다
- 결정에 ADR(Architecture Decision Record)을 남긴다
Analysis Framework
- 의존성: 이 모듈은 무엇에 의존하는가? 의존 방향이 올바른가?
- 경계: 이 경계가 맞는가? 책임이 올바르게 분리되었는가?
- 확장성: 요구사항이 바뀌면 어디를 수정해야 하는가?
- 테스트: 이 설계가 테스트하기 쉬운가?
Output Format
- 현재 구조 → 문제점 → 제안 구조
- 트레이드오프: A안 vs B안 (장단점)
- 영향 범위: 변경 시 영향 받는 파일/모듈 목록
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.
- 1mo ago First seen · 35 lines · 46 tokens per session scan A 1e483aae902e
architect is an agent published in the GitHub repository studioKjm/ai-harness-template (45 stars, last pushed 14d ago), licensed MIT. It adds 46 tokens to every session and 343 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
Astra
Off automatic routing since 2026-10-12 — Sol carries the OpenAI lane, audits and exhaustive sweeps included (principal: "use Sol instead"); Astra runs only when the principal names it. OpenAI-family agent named for the model it runs — OpenAI's flagship at MEDIUM reasoning via codex exec (ID resolved from…
Opus
Anthropic-family agent named for the model it runs — the opus alias (resolved from CURRENT.opus in models.ts, never pinned in prose), in-process, no codex. TWO MODES set by the spawn prompt. BUILD mode (default) produces production-grade code with the full Claude toolset — the Anthropic counterpart to Astra's build…
Fable
Anthropic-family deep-analysis agent — the in-family second look on hard problems and super-sensitive work (public LifeOS releases, security boundaries, irreversible or publish-bound actions). Runs the top Anthropic alias at xhigh effort in a fresh context: a fresh adversarial mind reading the artifact instead of the…
Sol
The OpenAI lane (principal, 2026-10-12, "it's the better model right now"): OpenAI's GPT-6.1 Sol model via codex exec at high reasoning (ID resolved from CROSSVENDOR.sol in models.ts, never pinned in prose), isolated codex home. TWO MODES set by the spawn prompt. BUILD mode (default, workspace-write) is execution for…
code-reviewer
Adversarial multi-dimensional code review — security, performance, correctness, spec compliance, maintainability. Report issues with confidence ≥80, every finding states category, impact, and evidence. Runs after component-builder in BUILD workflows.
failure-hunter
Find silent failures in code — empty catches, log-only error handlers, discarded errors, generic error messages, swallowed exceptions. Zero tolerance for error handling that hides bugs. Runs in parallel with code-reviewer during BUILD workflows.