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/xyy277/doc77/project-initnpx skills add xyy277/doc77 --skill project-initgit clone --depth 1 https://github.com/xyy277/doc77Wrote 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/xyy277/doc77/project-init)<a href="https://agentmods.dev/skills/xyy277/doc77/project-init"><img src="https://agentmods.dev/badge/skills/xyy277/doc77/project-init.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 | $0.00040 | $0.00386 |
| Opus 5 | $0.00020 | $0.00193 |
| Sonnet 5 | $0.00008 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
project-init 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 3d 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
项目初始化技能
标准目录结构
根据项目类型创建以下结构:
文档项目
project-root/
├── README.md # 项目说明
├── docs/ # 文档目录
│ ├── guide/ # 使用指南
│ ├── api/ # API 文档
│ └── changelog/ # 更新日志
├── .doc77/
│ └── rules/ # 项目规则
└── templates/ # 文档模板
代码项目
project-root/
├── README.md
├── docs/
├── src/
├── tests/
├── .doc77/
│ └── rules/
└── package.json / Cargo.toml / pyproject.toml
初始化步骤
- 检测项目类型(通过已有文件判断)
- 创建缺失的标准目录
- 生成 README.md 模板(项目名、简介、安装、使用)
- 创建 .doc77/rules/ 目录
- 生成默认规则文件(编码风格、文档规范)
README 模板
# 项目名称
简要描述项目用途。
## 安装
## 使用方法
## 配置
## 贡献指南
## 许可证
注意事项
- 不覆盖已存在的文件
- 保持现有目录结构不变,仅添加缺失部分
- 询问用户确认后再执行写入操作
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.
- 3d ago First seen · 67 lines · 40 tokens per session scan A 2b2cb8526206
project-init is a skill published in the GitHub repository xyy277/doc77 (8 stars, last pushed 15d ago), licensed MIT. It adds 40 tokens to every session and 386 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.
Other skills, from other repositories
ingest-l1
L1 analysis loop for the abapwiki knowledge base: for each batch it launches the abap-analyzer sub-agent in parallel, then the adversarial judge abap-deepcheck (separate session), applies only the analyses that pass the fail-closed gate, and commits. Resumes exactly after an interruption. Use this skill to document…
research-l2
Executes Phases 1-3 of the L2 process of the abapwiki knowledge base on a slice: launches the abap-functional-researcher sub-agent (gap discovery + multi-source auto-research: wiki -> raw/docs -> MCP abap-fs on the system read-only -> standard knowledge), ingests gaps and evidence, and generates questionnaires for…
slice-init
Creates an L2 slice in the abapwiki knowledge base: a business process on which to build functional documentation. Writes the manifest (curated anchors + mandatory real owner) and derives the membership from the dependency graph (BFS hop<=2). Use this skill to start the L2 process on a custom domain. Does not promote…
capture-answer
Ingests an expert's answers to an L2 questionnaire in the abapwiki knowledge base: transforms the answers (filled in the interviews/ file or given verbally) into a canonical citable expert-answer (slices/ /inputs/expert-answers/), moves gaps to 'answered' and closes the questions. Use this skill when the owner/expert…
ingest-l0
L0 bootstrap of the abapwiki knowledge base: creates stubs for all custom objects from the TADIR. Use this skill to initialize the repo from scratch or to ingest a new TADIR export. Deterministic operations (no LLM sub-agent), idempotent.
lint-audit
Checks the integrity of the abapwiki knowledge base: parseable YAML frontmatter, no broken wikilinks, resolvable [VERIFIED: path:N-M] citations, non-nested confidence tags, drift between wiki and DB, synchronization between canonical agent contracts and the .claude/agents/ copies. Use this skill periodically or after…