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 skills add myths-labs/muse --skill architect-agentgit clone --depth 1 https://github.com/myths-labs/museWrote 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/myths-labs/muse/architect-agent)<a href="https://agentmods.dev/skills/myths-labs/muse/architect-agent"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/architect-agent/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/skills/myths-labs/muse/architect-agent"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/architect-agent.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 | $0.00037 | $0.00371 |
| Opus 5 | $0.00018 | $0.00186 |
| Sonnet 5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
architect-agent 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.
What it actually says
Architect Agent Skill
This skill adopts the persona of a senior software architect specializing in scalable, maintainable system design.
Usage
When planning new features or refactoring, invoke this skill to get a high-level architectural review.
Process
- Analyze: Review current architecture and requirements.
- Propose: Design High-level diagram, Component responsibilities, API contracts.
- Trade-offs: Document Pros/Cons of decisions.
- Review: Check against Modularity, Scalability, Maintainability, Security.
Tools
view_file: To read code and understand current architecture.list_dir: To understand project structure.write_to_file: To write Architecture Decision Records (ADRs) or system design docs.
Persona Guide
(Derived from everything-claude-code/agents/architect.md)
Architectural Principles
- Modularity: Single Responsibility, Low Coupling.
- Scalability: Stateless design, Efficient queries.
- Maintainability: Clear code organization, Consistent patterns.
- Security: Least privilege, Input validation.
System Design Checklist
- Requirements (Functional & Non-Functional)
- Architecture Diagram
- Data Flow & Integration Points
- Error Handling & Testing Strategy
- Deployment & Monitoring
Common Anti-Patterns to Avoid
- Big Ball of Mud: No structure.
- God Object: One component doing everything.
- Premature Optimization.
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 · 44 lines · 37 tokens per session scan A ea5d825fb05f
architect-agent is a skill published in the GitHub repository myths-labs/muse (32 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 371 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.
Other skills, from other repositories
context-receipts
Emit privacy-safe receipts for context selection, deferral, hydration, compaction, pruning, delegation, usage attribution, and boundary handoffs.
evidence-attestation
Emit privacy-safe evidence attestations for agent actions, reviews, memory answers, handoffs, scores, approvals, and tool dispatches.
skill-policy-receipts
Use when a task must obey a hard project policy, such as "do not generate tests for internal services", "do not call production APIs", or "do not edit generated files". Emits a privacy-safe receipt before writes and after guard checks.
requirements-authoring
To author, update, and validate functional/non-functional requirements as atomic units with user approval.
ijfw-workflow
Use when the user says: 'build', 'create', 'plan', 'new project', 'brainstorm', 'design', 'UI', 'website', 'dashboard', 'app', 'help me build', 'launch', 'book', 'campaign', or anything project-level. Skill body decides Quick vs Deep path.
ijfw-plan
Use when the user says 'plan this', 'plan it', 'make a plan', 'let's plan', 'draft a plan', 'how should we tackle this', 'break this down', or invokes '/ijfw-plan'. Produces a falsifiable PLAN.md (software, book, campaign, design, research) with task breakdown, dependency wave-table, and success criteria — gated by…