tech-evaluator

tech-evaluator is a skill for Claude Code, Codex from Haaaiawd/ANWS. It costs 82 tokens per session (3,191 once invoked), scanned A, original, MIT.

A technical evaluation method for comparing candidate technology stacks using architecture trade-off analysis and a weighted 12-part scoring matrix.

In plain words
What is it for?
Use it during the third step of a Genesis project to compare stacks and prepare material that can later become an architecture decision record (ADR), a formal record of an important technical choice.
Why use it?
It makes technology choices traceable by recording requirements, quality scenarios, trade-offs, risks, scores, and testing decisions instead of relying on unsupported preferences.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it during the third step of a Genesis project to compare stacks and prepare material that can later become an architecture decision record (ADR), a formal record of an important technical choice.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/haaaiawd/anws/tech-evaluator
Install

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.

Any agent
npx skills add Haaaiawd/ANWS --skill tech-evaluator
Clone the repo
git clone --depth 1 https://github.com/Haaaiawd/ANWS

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tech-evaluator

README.md
[![agentmods](https://agentmods.dev/badge/skills/haaaiawd/anws/tech-evaluator/github.svg)](https://agentmods.dev/skills/haaaiawd/anws/tech-evaluator)
Your own site
<a href="https://agentmods.dev/skills/haaaiawd/anws/tech-evaluator"><img src="https://agentmods.dev/badge/skills/haaaiawd/anws/tech-evaluator/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.

agentmods 80×15 button for tech-evaluator

Your own site · 80×15
<a href="https://agentmods.dev/skills/haaaiawd/anws/tech-evaluator"><img src="https://agentmods.dev/badge/skills/haaaiawd/anws/tech-evaluator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,191 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.03191
Opus 5.5 $0.00033 $0.01276
Sonnet 5.5 $0.00016 $0.00638
Haiku 4.5 $0.00008 $0.00319

Measured 1mo ago against content hash 2d5664072ec9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tech-evaluator 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 1mo 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.

src/anws/templates/.agents/skills/tech-evaluator/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

技术评估师手册 — Genesis Step 3

"没有最好的技术栈,只有最适合的技术栈。" —— ThoughtWorks Technology Radar

本技能基于 SEI 的 ATAM (Architecture Tradeoff Analysis Method) 与 加权决策矩阵。在 /genesis 中与 Step 3 绑定;ADR 的正式写入与编号治理以 Step 5 与 genesis.md 为准。


CRITICAL /genesis 门禁(本线专用收口)

[!IMPORTANT]

  • /genesis Step 3:只输出评估结果与 Markdown 对比素材,不得在本步创建或修改 .anws/v{N}/03_ADR/ 下任何 ADR 文件。原因见 genesis.md Step 3 / Step 5:ADR 为正式决策记录,须在 Step 5 完整审视后落盘。
  • Step 5 落盘目标(供下游引用,非 Step 3 执行项):将 Step 3 对比表升格为 .anws/v{N}/03_ADR/ADR_001_TECH_STACK.md(及姊妹 ADR),章节结构以 references/ADR_TEMPLATE.md 为唯一权威。
  • 若宿主会话声明 非 /genesis 或显式授权「本步即写 ADR」,以当场工作流为准;默认仍按 Step 3 不写 ADR。

[!NOTE] ADR 时序:Step 3 只产出评估与对比素材,不写 03_ADR/;Step 4 产出系统边界与 02_*;Step 5 再升格 ADR,使影响范围与真实系统 ID 对齐。阶段表与四点论证见 genesis.md Step 3 的 NOTE。若会话非 /genesis 或用户授权本步写 ADR,以当场工作流为准。


CRITICAL spec 产出契约(Step 3 交付物)

[!IMPORTANT]

  • 可核对:约束块须覆盖功能需求、非功能需求、团队、预算、特殊约束;缺的项写「未提供—评估基于假设 H-…」,不得静默省略。
  • 可计算:每个候选栈须有 12 维得分表(1–5)或逐维「不适用 + 原因」;禁止只给总分不给细表。
  • 可推演:ATAM 段落须含至少一个质量属性场景、若干权衡点、若干风险点;不得用形容词堆叠代替场景。
  • 可升格:最终对比表须能无损映射到 references/ADR_TEMPLATE.md 的章节与必填节,供 Step 5 粘贴与润色。
  • 验证策略显式:须回答或标注待决:单测 / 集成 / E2E 侧重、冒烟 / 回归门禁、质量门禁落在 PR / INT / 预发 / 发布的哪一层(与 genesis.md Step 3 要求一致)。
  • 单一真源:数值与结论以 Step 3 产出表为准;Step 5 仅做编辑与状态流转,不得在无新证据时反向改分。

强制深度思考

[!IMPORTANT] 在开始评估前必须调用 sequential-thinking skill,按复杂度组织 3—7 个 thought,例如:

  1. 用户核心场景与必须支持的用例边界是什么?
  2. 团队熟悉度与可接受的学习成本?
  3. 预算与云 / 许可证 TCO 敏感度?
  4. 预期规模与并发 / 数据量级?
  5. 合规(GDPR、等保等)是否一票否决某些栈?

任务目标(Step 3)

在不写 ADR 文件前提下,产出:

  1. 结构化约束摘要与候选栈列表;
  2. 12 维打分矩阵与加权汇总说明(权重须声明或采用本文建议并说明);
  3. ATAM 权衡与风险短文;
  4. 供 Step 5 直接使用的 Markdown 候选方案对比总表。

评估流程 (The Evaluation)

第一步:收集约束 (Gather Constraints)

必须从用户或已加载工件取得(不足的按 spec 契约标注假设):

  • 功能需求:核心能力列表(可引用 01_PRD.md)。
  • 非功能需求:性能、可用性、安全等级。
  • 团队情况:人数、技能栈、学习意愿。
  • 预算:开发、运维、时间。
  • 特殊约束:合规、存量系统集成、客户指定技术。
  • (如已执行 Step 2.5)/explore 研究结论中的证据与备选方案。

Read the full file on GitHub · 253 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 1mo ago First seen · 253 lines · 82 tokens per session scan A 2d5664072ec9

Subscribe to this mod's changes

tech-evaluator is a skill published in the GitHub repository Haaaiawd/ANWS (141 stars, last pushed 5mo ago), licensed MIT. It adds 82 tokens to every session and 3,191 once invoked, about $0.0003 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.

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