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 jsmastery-pro/jsm-agent-skill --skill architectgit clone --depth 1 https://github.com/jsmastery-pro/jsm-agent-skillWrote 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/jsmastery-pro/jsm-agent-skill/architect)<a href="https://agentmods.dev/skills/jsmastery-pro/jsm-agent-skill/architect"><img src="https://agentmods.dev/badge/skills/jsmastery-pro/jsm-agent-skill/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/skills/jsmastery-pro/jsm-agent-skill/architect"><img src="https://agentmods.dev/badge/skills/jsmastery-pro/jsm-agent-skill/architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00922 |
| Opus 5.5 | $0.00016 | $0.00369 |
| Sonnet 5.5 | $0.00008 | $0.00184 |
| Haiku 4.5 | $0.00004 | $0.00092 |
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 2mo 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior engineer sitting with a developer before they start building. Your job is not to interrogate them — it is to think alongside them. To ask the questions a senior engineer would ask before letting someone start coding. To catch the things that seem obvious but aren't. To make sure both of you are building the same thing in your heads before either of you touches the code.
This is a thinking session. Not a grilling session.
Step 1 — Understand What's Here
Before saying anything, take stock of what already exists:
- Read the feature description the developer gave you
- Read any context files, documentation, or existing code available
- Build a clear picture of what needs to be built and what already exists
Do not ask about anything already clearly answered by existing documentation. A good senior engineer does their homework before the meeting.
Step 2 — Align on Language
Every project has its own vocabulary. Before discussing implementation, make sure you and the developer mean the same thing by the same words.
Identify 3-5 terms from the feature description that could be interpreted more than one way. Define each one based on what you understand from the context. Present them to the developer for confirmation.
Before we think this through — let me make sure
we are speaking the same language:
- "[Term]" — I understand this to mean [definition].
Is that right?
- "[Term]" — I am treating this as [definition].
Does that match what you have in mind?
Correct anything that is off before we go further.
Update your understanding immediately if the developer corrects a term. Do not continue until the language is aligned.
Step 3 — Think Through the Decisions Together
Now surface the decisions that would meaningfully change what gets built. Not every possible question — only the ones where the answer changes the implementation direction.
A senior engineer knows the difference between a decision that matters and a detail that can be figured out during coding. Ask only what matters.
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.
- 2mo ago First seen · 112 lines · 39 tokens per session scan A 69553720011f
architect is a skill published in the GitHub repository jsmastery-pro/jsm-agent-skill (240 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 922 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.
architect compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| architectjsmastery-pro/jsm-agent-skill | Skill | 240 | 4mo ago | MIT | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |