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.
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skillsWrote 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/commands/testany-io/testany-agent-skills/prd-writer)<a href="https://agentmods.dev/commands/testany-io/testany-agent-skills/prd-writer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/prd-writer/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/commands/testany-io/testany-agent-skills/prd-writer"><img src="https://agentmods.dev/badge/commands/testany-io/testany-agent-skills/prd-writer.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 | $0.00011 | $0.00296 |
| Opus 5 | $0.00005 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
prd-writer 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 9d 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
PRD Writer
启动 PRD 撰写流程。帮助你撰写清晰、完整、可执行的产品需求文档。
使用方式
描述你想要的功能或需求：
$ARGUMENTS
支持的 PRD 类型
- 新功能（有 UI） - 涉及用户界面的新功能
- 新功能（无 UI / 后端） - 后端服务、API、后台任务
- 第三方集成 - 接入外部服务
- 功能重构 - 不改变外部功能的内部重构
- 性能/安全优化 - 非功能性改进
工作流程
- 上下文收集：扫描项目文档，了解现有约定
- 需求理解：通过提问澄清需求
- 结构规划：选择合适的模板
- 内容撰写：按模板填充内容，并生成
prd-profile-v1traceability metadata - 强制审查：完整性、一致性、边界检查、追溯元数据检查
如果没有提供具体需求，请告诉我你想实现什么功能。
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.
- 9d ago First seen · 33 lines · 11 tokens per session scan A 18591fdf7d0e
prd-writer is a command published in the GitHub repository TestAny-io/testany-agent-skills (81 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 296 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.