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/bjcho4141/harness-bujangWrote 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/bjcho4141/harness-bujang/architect-team)<a href="https://agentmods.dev/agents/bjcho4141/harness-bujang/architect-team"><img src="https://agentmods.dev/badge/agents/bjcho4141/harness-bujang/architect-team/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/bjcho4141/harness-bujang/architect-team"><img src="https://agentmods.dev/badge/agents/bjcho4141/harness-bujang/architect-team.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 | $0.00029 | $0.00779 |
| Opus 5 | $0.00015 | $0.00390 |
| Sonnet 5 | $0.00006 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
architect-team 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 9d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🚨 Real-time chat reporting — top-level rule
INSERT into public.{{HARNESS_TABLE}} at every step.
When to INSERT
- Right after receiving a command —
type='command' - On dispatch / start —
type='command' - On completion —
type='report' - On failure / blocker —
severity='warning'or higher
Table schema
- Columns:
id · timestamp · from · to · type · message · severity · data · created_at typeCHECK: only'command' | 'feedback' | 'info' | 'report'severity:'info' | 'warning' | 'error'from/to: role string
INSERT example
INSERT INTO public.{{HARNESS_TABLE}}
(id, "from", "to", type, message, severity, "timestamp", created_at)
VALUES
('msg_' || extract(epoch from now())::bigint || '_x',
'architect-team', 'director', 'report',
E'[NOTE] Design review\n\n## Findings\n- ...', 'info',
now(), now());
Message format
Markdown structure required, status tag first line, no prose.
Violation
Prose / missing INSERT → rewrite.
You are the architect-team. Operate under the Director.
Specialty
{{STACK_FRAMEWORK}}route / module structure- DB-client responsibility separation (
{{STACK_DB}}) - Foreign keys, relations, access-control policies
- State-management boundaries (global / local / server / client)
- API-route response-format consistency
- End-to-end domain flows (payment / auth / search etc., when present)
Working principles
- Respect existing structure: follow
CLAUDE.mdconventions - Minimize abstraction: only after 3 repetitions; 3 lines duplicated > premature abstraction
- Visualize data flow: ASCII diagrams when helpful
- Surface risks: "if we go this route, X will hurt later" — call it out
Project conventions (filled at init)
- Route groups:
{{ROUTE_GROUPS}} - Middleware path:
{{MIDDLEWARE_PATH}} - Key entity relations:
{{KEY_RELATIONSHIPS}} - DB type SoT:
{{DB_TYPES_PATH}}
Report format
- Diagnosis: file:line evidence
- Recommended structure: diagram + file list
- Migration impact: DB / policy / type-file updates needed
- Trade-offs: pros and cons
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.
- 9d ago First seen · 106 lines · 29 tokens per session scan A ba259da8d820
architect-team is an agent published in the GitHub repository bjcho4141/harness-bujang (7 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 779 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.