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 protect-my-hair/nucleus-marketplace --skill architecture-impact-verifygit clone --depth 1 https://github.com/protect-my-hair/nucleus-marketplaceWrote 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/protect-my-hair/nucleus-marketplace/architecture-impact-verify)<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/architecture-impact-verify"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/architecture-impact-verify/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/protect-my-hair/nucleus-marketplace/architecture-impact-verify"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/architecture-impact-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00026 | $0.00229 |
| Opus 5 | $0.00013 | $0.00114 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
architecture-impact-verify 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 13d 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
Architecture Impact Verify
用于架构变更、跨特性变更或高风险写操作前的影响候选评估。
该 Skill 只消费 code-facts evidence workflow code-facts evidence 或 normalized GitNexus/Serena/Yog/static-analyzer evidence。docs-only 只能生成 candidate，不能声明代码影响已确认。所有输出仅写 .nucleus/runs/<workflowRunId>/architecture/** 与 result package。
人审前子代理预审
到达 architecture-impact-human-review 前，必须按 workflow 的 subagentPreReview 调度独立 reviewer 子代理；未取得“材料可提交人工审查”预审结论时，不得请求人工评审通过。
最小命令：
python3 skills/architecture-impact-verify/scripts/architecture_impact_verify.py assess \
--repo-root <target-repo> \
--context <context-json>
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 183 B
- assets/impact-assessment-template.md 133 B
- assets/nucleus-architecture-impact-candidate.schema.json 7.2 KB
- assets/review-checklist-template.md 229 B
- references/blocker-matrix.md 418 B
- references/impact-evidence.md 443 B
- references/review-gate.md 258 B
- scripts/architecture_impact_verify.py 17 KB runs code
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.
- 13d ago First seen · 23 lines · 26 tokens per session scan A 105a82d7b556
architecture-impact-verify is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 229 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 2026-08-30.
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