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 HypoxanthineOvO/Hypo-Workflow --skill experiencegit clone --depth 1 https://github.com/HypoxanthineOvO/Hypo-WorkflowWrote 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/hypoxanthineovo/hypo-workflow/experience)<a href="https://agentmods.dev/skills/hypoxanthineovo/hypo-workflow/experience"><img src="https://agentmods.dev/badge/skills/hypoxanthineovo/hypo-workflow/experience/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/hypoxanthineovo/hypo-workflow/experience"><img src="https://agentmods.dev/badge/skills/hypoxanthineovo/hypo-workflow/experience.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 | $0.00056 | $0.00526 |
| Opus 5.5 | $0.00022 | $0.00210 |
| Sonnet 5.5 | $0.00011 | $0.00105 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
hypo-workflow-experience 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 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.
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
体验:给执行体验的 Agent 看
写代码的 Agent 知道内部怎么实现,会不自觉地替用户补上缺的步骤。体验换一个只拿到用户材料的人,从用户的入口真的走一遍。全程中文,说话短。
动手前
- 读 RULES.md 的“用户是谁”。没写就问用户:用户是谁、平时用它做什么;是否写进 RULES.md 由用户决定,体验本身不写文件。
- 定一两个真实任务:用户指定的优先;没指定就从 README 里挑最常见的用法,说给用户听再开始。
派谁去
- 派一个没看过代码的子 Agent。只给它:用户身份、任务、README,以及用户能拿到的入口(安装命令、网址、界面、命令行)。不给源码路径、需求文件、这次改了什么。
- 宿主没有子 Agent 时,告诉用户,建议开一个新会话,把上面这些材料原样交给它。
子 Agent 怎么走
- 按用户身份理解 README,照着做;README 没写的步骤不自己补。
- 真的去操作:装、跑、点、读输出。只读文档、凭想象描述体验不算。
- 不改任何文件。走不下去就记下来,换下一个任务。
汇报
主 Agent 在对话里转述,每个问题一段:
- 想做什么,照 README 做了什么,看到了什么。
- 卡在哪一步;README 哪一段和实际对不上。
- 有多严重:走不下去、绕一下能过、只是别扭。
最后一句话说整体能不能用。修不修、怎么修由用户决定;体验本身不改文件。
不要做
- 不让子 Agent 读代码,也不在交给它的材料里透露实现。
- 不把“技术上能跑通”当成“用户能用起来”。
- 不为凑数报风格偏好;没发现问题就直说。
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 Changed ac194aa20c38
- 5d ago First seen · 41 lines · 56 tokens per session scan A 3ccd2f743f06
hypo-workflow-experience is a skill published in the GitHub repository HypoxanthineOvO/Hypo-Workflow (24 stars, last pushed 4d ago), licensed MIT. It adds 56 tokens to every session and 526 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-21.
Other skills, from other repositories
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
verify-omnigent
Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…
test-master
Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation…
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
cua-driver
Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
critique
Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.