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 tranfu-labs/tranfu-skills --skill openspecgit clone --depth 1 https://github.com/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/openspec)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/openspec"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/openspec/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/tranfu-labs/tranfu-skills/openspec"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/openspec.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 | $0.00072 | $0.00818 |
| Opus 5 | $0.00036 | $0.00409 |
| Sonnet 5 | $0.00014 | $0.00164 |
| Haiku 4.5 | $0.00007 | $0.00082 |
Grade A, and why
openspec 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 12d 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
openspec
本 skill 由 tranfu-labs 推荐, 完整内容 / 装法见 source_url.
完整内容见 source_url
- 项目: https://github.com/Fission-AI/OpenSpec
- npm:
@fission-ai/openspec
装法 (本条异类, 与一般 external-skill 不同)
OpenSpec 不是 SKILL.md 形态的 skill, 而是 npm CLI + slash commands 集合. install-skill 不能自动拉, 装法走 npm:
npm install -g @fission-ai/openspec@latest
cd your-project
openspec init
# 然后跟 AI 说: /opsx:propose <要做的事>
支持 25+ AI 编码工具 (Claude Code / Cursor / Cline / ...), 详见 source_url 的 docs/supported-tools.md.
推荐场景
(本次为 cold-start 推荐, 暂无 case 文件; 用过的人可走 publish-skill 路径 D 加 case)
适用:
- 单轮: 让 AI 先产出 proposal+specs+design+tasks, 再按 tasks 顺序 apply, 避免"prompt 描述需求 → AI 直接写代码"中间缺一层共识
- 多轮 / 跨会话: archive 后规范沉淀进
openspec/specs/, 下次给同一模块加功能时 AI 能读到该模块历史规范, 形成长期积累
不适用: 一次性脚本 / throwaway prototype, 没有"未来再改"的预期.
同类 Skill 对比
由 publish-skill 起草, 推荐者签字. 帮助阅读者横向决定要装哪个 / 跳到更合适的同类.
公司库内
- 暂无
外部世界
- github/spec-kit — Spec-Driven Development 工具包, 通过
/speckit.constitution → /specify → /plan → /tasks → /implement串起 AI 编码流程; 本 skill 区别: spec-kit 适合 0→1 greenfield 单次拉起; OpenSpec 适合多轮迭代 + 长期维护, archive 机制把每个 change 的规范沉淀到 specs/, 下次再改同一模块 AI 能读到历史规范 - Kiro — AWS 出的 agentic IDE, 内置 spec-driven 流程把自然语言转 requirements/design/code; 本 skill 区别: OpenSpec 不锁 IDE 也不锁模型, 在你现有 Claude Code / Cursor / 任何 25+ 工具里都能跑
本 skill 独特价值
- 每 change = 一文件夹 (proposal / specs / design / tasks), archive 后规范沉淀到 specs/
- npm 一行装, slash commands 接入 25+ AI 编码工具, 不锁 IDE 不锁模型
- 单轮 spec 先行执行可控; 多轮模块历史规范跨会话可读
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.
- 12d ago First seen · 59 lines · 72 tokens per session scan A c09374a8835c
openspec is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 818 once invoked, about $0.0004 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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