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 agentmods add skills/cyberelf/agent_skills/project-initializernpx skills add cyberelf/agent_skills --skill project-initializergit clone --depth 1 https://github.com/cyberelf/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/skills/cyberelf/agent_skills/project-initializer)<a href="https://agentmods.dev/skills/cyberelf/agent_skills/project-initializer"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/project-initializer.svg" alt="Measured on agentmods" 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 | $0.00178 | $0.05516 |
| Opus 5 | $0.00089 | $0.02758 |
| Sonnet 5 | $0.00036 | $0.01103 |
| Haiku 4.5 | $0.00018 | $0.00552 |
Grade A, and why
project-initializer scanned grade A with 1 finding 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 4d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
The Node.js variants are the most portable choice if the runner environment is uncertain. They require no npm dependencies — only the Node.js built-in modules (`fs`, `path`, `child_process`). How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Initializer
A skill for scaffolding new projects with consistent README.md, AGENTS.md, and CI/CD pipelines — all wired together with an SDD (Spec-Driven Development) framework.
Overview
The skill does five things:
- Interview — Understand the project's goals, tech stack, coding standards, quality requirements, CI platform(s), and preferred SDD workflow.
- Generate — Create README.md, AGENTS.md, and CI pipeline file(s) from templates.
- Integrate — Install SDD framework tools and initialize project structure; wire coding standards and quality checks into the CI pipeline.
- Tag — Embed a machine-readable project identity tag in AGENTS.md so server-side CI can verify the project was properly initialized.
- Verify consistency — Make sure all generated files agree with each other (same tech stack, same quality gates, same SDD expectations).
Phase 1: Interview
使用 AskUserQuestion 与用户进行访谈，了解项目情况。逐个问题与用户交互 — 不要跳过问题或代表用户做出决定。在进入第2阶段（文件生成）前，总结他们的答案并确认理解。
根据已有的上下文信息，可以一次性提出所有问题，也可以在自然对话中分散提问 — 根据情况自行判断。
必需信息：
对于以下每个问题，使用 AskUserQuestion 与用户交互式提问。不要跳过问题，不要代替用户做决定。当提供建议或默认值时，请通过 AskUserQuestion 确认用户同意后再继续。
-
项目名称和一句话描述 — 使用
AskUserQuestion。这个项目是什么？它解决了什么问题？ -
技术栈 — 编程语言、框架、包管理工具、数据库、部署目标等。使用
AskUserQuestion提示用户。用户表示不确定或要求建议时，根据问题领域提供合理的默认值 — 但通过AskUserQuestion获得用户确认后再继续。 -
质量等级 — 使用
AskUserQuestion提问：这是演示/原型项目还是生产项目？- 演示：最小化CI、无覆盖率门槛、无安全扫描、轻量级SDD
- 生产：完整CI、覆盖率门槛、安全扫描、严格的SDD对齐检查
-
SDD框架 — 使用
AskUserQuestion展示所有三个选项，询问团队将使用哪一个。包括下面的描述以帮助他们做出决定。框架 风格 适用于 OpenSpec 流畅、棕地优先、增量规范 现有代码库、个人开发者、迭代工作 SpecKit 宪法强制、分阶段 团队、企业、严格的质量标准 GSD 基于阶段的路线图、上下文工程 想让AI做主力工作的个人开发者 选择后，阅读相应的参考文件了解更多细节：
- OpenSpec →
references/openspec.md - SpecKit →
references/speckit.md - GSD →
references/gsd.md
- OpenSpec →
-
CI平台 — 使用
AskUserQuestion提问：应该配置哪些CI系统？- GitLab CI — 生成
.gitlab-ci.yml - GitHub Actions — 生成
.github/workflows/ci.yml - 两者 — 生成两个文件，保持一致
- GitLab CI — 生成
What ships with it
21 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.
- assets/scripts/check_project_tag.js 4.5 KB runs code
- assets/scripts/check_project_tag.ps1 4.2 KB runs code
- assets/scripts/check_project_tag.sh 5.8 KB runs code
- assets/scripts/check_sdd_gsd.js 9.5 KB runs code
- assets/scripts/check_sdd_gsd.ps1 8.6 KB runs code
- assets/scripts/check_sdd_gsd.sh 9.2 KB runs code
- assets/scripts/check_sdd_openspec.js 8.4 KB runs code
- assets/scripts/check_sdd_openspec.ps1 7.5 KB runs code
- assets/scripts/check_sdd_openspec.sh 8.6 KB runs code
- assets/scripts/check_sdd_speckit.js 9.1 KB runs code
- assets/scripts/check_sdd_speckit.ps1 8.6 KB runs code
- assets/scripts/check_sdd_speckit.sh 8.9 KB runs code
- assets/templates/AGENTS.template.md 2.8 KB
- assets/templates/github-actions.template.yml 6.3 KB
- assets/templates/gitlab-ci.template.yml 6.7 KB
- assets/templates/README.template.md 1.3 KB
- references/gsd.md 5.1 KB
- references/openspec.md 4.2 KB
- references/speckit.md 4.8 KB
- scripts/initialize_sdd.py 14 KB runs code
- scripts/install_scripts.py 6.2 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.
- 4d ago First seen · 367 lines · 0 tokens per session scan A 5500ffb4efc5
project-initializer is a skill published in the GitHub repository cyberelf/agent_skills (2 stars, last pushed 9d ago), licensed MIT. It adds 178 tokens to every session and 5,516 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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