test-strategy-reviewer

test-strategy-reviewer is a command for Claude Code from TestAny-io/testany-agent-skills. It costs 27 tokens per session (461 once invoked), scanned A, original, MIT.

A command that reviews a software test strategy before detailed design and test specifications begin. It checks the planned tests, environments, dependencies, automation, and release rules.

In plain words
What is it for?
Use it to review a test strategy together with related product, API, architecture, and guardrail documents. It produces a review report and, when approved, a release certificate.
Why use it?
It helps find missing risk coverage or impractical test plans before development moves forward. It also sets required issue limits for approval.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 plugins/testany-eng/scripts/trace_lint.py --format json <Test Strategy 路径>.

Part of the testany-eng plugin — 21 skills, 21 commands shipped together

Good fit Use it to review a test strategy together with related product, API, architecture, and guardrail documents. It produces a review report and, when approved, a release certificate.

Compare 6 commands from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skills
agentmods
npx agentmods add commands/testany-io/testany-agent-skills/test-strategy-reviewer

Made for: Claude Code.

Or install testany-eng, the plugin that ships this one along with the rest of its 21 skills, 21 commands.

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 test-strategy-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/test-strategy-reviewer/github.svg)](https://agentmods.dev/commands/testany-io/testany-agent-skills/test-strategy-reviewer)
Your own site
<a href="https://agentmods.dev/commands/testany-io/testany-agent-skills/test-strategy-reviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/test-strategy-reviewer/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 test-strategy-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/commands/testany-io/testany-agent-skills/test-strategy-reviewer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/test-strategy-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 461 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 $0.00027 $0.00461
Opus 5 $0.00014 $0.00230
Sonnet 5 $0.00005 $0.00092
Haiku 4.5 $0.00003 $0.00046

Measured 11d ago against content hash 82a53db98cf0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

test-strategy-reviewer 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.

plugins/testany-eng/commands/test-strategy-reviewer.md · 54 lines

What it actually says

Test Strategy Reviewer

启动测试策略评审流程。作为进入 LLD 和详细测试规格前的门禁,检查测试策略是否完整、可执行、无关键遗漏。

使用方式

提供测试策略和上游基线路径:

$ARGUMENTS

在研发流程中的位置

Test Strategy → [Test Strategy Reviewer] → Test Strategy(准出)→ LLD → Test Spec

审查框架

采用四道门审查:

  1. Gate 1 - 基线与范围:版本、范围、must-not-regress、豁免
  2. Gate 2 - 风险覆盖与测试分层:高风险能力与分层合理性
  3. Gate 3 - 环境/数据/依赖:执行可行性
  4. Gate 4 - 门禁与自动化:入口/出口、回归与自动化策略

准出门槛

  • P0 = 0
  • P1 = 0
  • P2 ≤ 2

必需产出

  • 审查报告
  • 准出证书(通过时)

强制脚本校验

在人工评审前必须先执行:

python3 plugins/testany-eng/scripts/trace_lint.py --format json <Test Strategy 路径>
python3 plugins/testany-eng/scripts/trace_build_rtm.py --format json <PRD 路径> <Test Strategy 路径>

trace-lint blocking issue 和 RTM001 / RTM002 / RTM003 / RTM004 都按 P0 处理。

请提供 Test Strategy 路径开始评审。建议同时提供 PRD、API Contract、HLD 与 Guardrails。

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. 11d ago First seen · 54 lines · 27 tokens per session scan A 82a53db98cf0

Subscribe to this mod's changes

test-strategy-reviewer is a command published in the GitHub repository TestAny-io/testany-agent-skills (82 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 461 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.