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 2428424081cn/Skill-mcp --skill decision-tradeoff-matrixgit clone --depth 1 https://github.com/2428424081cn/Skill-mcpWrote 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/2428424081cn/skill-mcp/decision-tradeoff-matrix)<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/decision-tradeoff-matrix"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/decision-tradeoff-matrix/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/2428424081cn/skill-mcp/decision-tradeoff-matrix"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/decision-tradeoff-matrix.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 | $0.00045 | $0.00276 |
| Opus 5 | $0.00023 | $0.00138 |
| Sonnet 5 | $0.00009 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
decision-tradeoff-matrix 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 11d 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
架构决策权衡矩阵指南 (Decision Trade-off Matrix)
做技术选型时，没有完美的架构，只有适合特定场景的权衡（Trade-off）。
经典 5 维加权打分法
- 性能与吞吐（Performance, 权重 25%）：延迟、QPS、资源消耗。
- 开发效率与生态（DX & Ecosystem, 权重 25%）：学习成本、社区成熟度、库丰富度。
- 运维与可观测性（Ops & Reliability, 权重 20%）：高可用搭建难度、监控指标支持。
- 财务成本（Financial Cost, 权重 15%）：服务器硬件开销、SaaS 授权费用。
- 决策可逆性（Reversibility, 权重 15%）：如果做错了，迁移到其他方案的重构代价。
What ships with it
2 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.
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.
- 11d ago First seen · 16 lines · 45 tokens per session scan A 70c332033e3b
decision-tradeoff-matrix is a skill published in the GitHub repository 2428424081cn/Skill-mcp (1 stars, last pushed 18d ago), licensed MIT. It adds 45 tokens to every session and 276 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 2026-08-31.
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