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 skills add ChenyCHENYU/wl-skills-design --skill doc-intakegit clone --depth 1 https://github.com/ChenyCHENYU/wl-skills-designWrote 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/chenychenyu/wl-skills-design/doc-intake)<a href="https://agentmods.dev/skills/chenychenyu/wl-skills-design/doc-intake"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/doc-intake/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/skills/chenychenyu/wl-skills-design/doc-intake"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/doc-intake.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 | $0.00116 | $0.00616 |
| Opus 5 | $0.00058 | $0.00308 |
| Sonnet 5 | $0.00023 | $0.00123 |
| Haiku 4.5 | $0.00012 | $0.00062 |
Grade A, and why
doc-intake 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 10d 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
文档接入与补全
先确定模式
validate/review：只读评估既有文档，输出差距报告，不修改任何文件。create/maintain：在用户明确给出补全范围后，补全结构缺口并复验；业务事实一律【待补充：说明】+Pending，不得编造。
至少确认既有文档路径或集合。目标规范域、是否已有 design-model、允许自动补全的范围可从上下文推断；无法推断时只追问最关键的一项。
执行流程
- 采集与归位：读入全部既有产物，按编码体系分类，识别不了的进「未归类区」。
- 差距分析：逐域执行 机械验证（
wl-skills-design verify）+ 语义判断，检测字典值漂移与名称近似漂移。 - 补全计划与执行：差距映射为补丁任务（复用变更影响分析的 P0/P1/P2 格式），按授权范围执行并复验。
- 报告使用 接入差距报告模板；需要质量对照时读取 匿名样例。
交付约束
- 默认产物：INTAKE 差距报告（对话内返回）；仅当用户明确要求保存时写入
docs/intake/INTAKE_{项目代号}_{日期}.md。 - 结构缺口（缺章节、缺表列、缺编码、编码不连续）可在授权范围内自动补；业务事实（字段口径、状态值、规则文案）只登记待补问题清单。
- 铸造的 draft design-model 写入
docs/design-model.json前必须先展示并获得确认；与既有内容冲突时报告，不静默覆盖。 - 最终说明已采集文件数、各域差距计数、P0 断点、未归类项和补全执行状态。
What ships with it
5 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.
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.
- 10d ago First seen · 28 lines · 116 tokens per session scan A a6a3abddc2a7
doc-intake is a skill published in the GitHub repository ChenyCHENYU/wl-skills-design (5 stars, last pushed 26d ago), licensed Apache-2.0. It adds 116 tokens to every session and 616 once invoked, about $0.0006 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.
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