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/vinvcn/addyosmani-agent-skills-zhWrote 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/vinvcn/addyosmani-agent-skills-zh/spec)<a href="https://agentmods.dev/commands/vinvcn/addyosmani-agent-skills-zh/spec"><img src="https://agentmods.dev/badge/commands/vinvcn/addyosmani-agent-skills-zh/spec/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/vinvcn/addyosmani-agent-skills-zh/spec"><img src="https://agentmods.dev/badge/commands/vinvcn/addyosmani-agent-skills-zh/spec.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 | $0.00014 | $0.00140 |
| Opus 5 | $0.00007 | $0.00070 |
| Sonnet 5 | $0.00003 | $0.00028 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
spec 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.
What it actually says
调用 agent-skills:spec-driven-development skill。
先理解用户想构建什么。围绕以下内容提出 clarifying questions：
- Objective 和 target users
- Core features 和 acceptance criteria
- Tech stack preferences 和 constraints
- Known boundaries（哪些事始终要做、哪些事要先问、哪些事绝不能做）
然后生成结构化 spec，覆盖六个核心领域：objective、commands、project structure、code style、testing strategy 和 boundaries。
将 spec 保存为项目根目录中的 SPEC.md，并在继续前与用户确认。
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.
- 11d ago First seen · 16 lines · 14 tokens per session scan A b258533ceae9
spec is a command published in the GitHub repository vinvcn/addyosmani-agent-skills-zh (31 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 140 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
ship
Run the pre-launch checklist via parallel fan-out to specialist personas, then synthesize a go/no-go decision.
plan
Break work into small verifiable tasks with acceptance criteria and dependency ordering.
build
Implement tasks incrementally — build, test, verify, commit. Add "auto" to run the whole plan in one approved pass.
webperf
Run a web performance audit via the web-performance-auditor persona.
code-simplify
Simplify code for clarity and maintainability — reduce complexity without changing behavior.
review
Conduct a five-axis code review — correctness, readability, architecture, security, performance.