wjs-evaling-voicedrop-prompts SKILL.md skillA
wjs-evaling-voicedrop-prompts from jianshuo/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jianshuo/claude-skills/wjs-evaling-voicedrop-prompts@git:20260630.b59fc57Pins git:20260630.b59fc57 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jianshuo/claude-skills
- Path
wjs-evaling-voicedrop-prompts/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260630.b59fc57, committed Jun 30, 2026
- Size
- 2,824 bytes
- Repository stars
- 138
- License
- MIT
Use when 王建硕 wants to evaluate whether a change to VoiceDrop's 挖矿 system prompt is actually better than the live version — runs the local eval harness (golden fixtures × champion-vs-candidate, same input), dispatches blind pairwise judge subagents, aggregates a win-rate verdict, and on approval promotes the candidate into agent/src/prompts/mine.js. Triggers — "评估 prompt"、"挖矿 prompt 改好了吗"、"eval prompt"、"比一比两版 prompt"、"/wjs-evaling-voicedrop-prompts".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# VoiceDrop 挖矿 prompt 评估
harness = 本 skill（协议）+ jianshuo.dev `agent/eval/`（脚本/数据）。运行时 = 本地 Claude Code。
被测对象 = `agent/src/prompts/mine.js` 的 `MINE_SYSTEM`（git 即版本库）。
## 何时用
用户改了挖矿 prompt（`MINE_SYSTEM`），想用数据判断改好了还是改坏了，而不是凭感觉看一两次。
## 流程（按序）
1. **拿候选 prompt**：把候选版 `MINE_SYSTEM` 文本写到一个临时文件（如 `/tmp/cand-prompt.txt`）；冠军 = 当前 `mine.js` 的 `MINE_SYSTEM`（脚本自动读）。
2. **跑产出**：`cd ~/code/jianshuo.dev/agent && CLAUDE_API_KEY=$CLAUDE_API_KEY node eval/run-eval.mjs /tmp/cand-prompt.txt <runId>`。产出落 `eval/runs/<runId>/`。先看终端有没有「确定性回退」警告——有就先停，多半是候选 prompt 破坏了 JSON 输出。
3. **成对盲评**：对每条 fixture，dispatch 一个 subagent，喂 `references/judge-rubric.md` + 该 fixture 的 transcript + 两份产出。**A/B 顺序随机**（一半 fixture 把 candidate 放 A、一半放 B，记录映射，收到结果后还原成 champion/candidate）。裁判模型用与生成（opus）不同家族的模型。收每条的 `{winner, dims, reason}`。
4. **聚合**：把还原后的 `verdicts`（winner ∈ candidate/champion/tie）+ 候选 proxyFails 喂 `aggregate()`，渲染 `renderReport()` → 写 `eval/runs/<runId>/report.md`。
5. **人工终审**：把胜负最接近、分歧最大的 1–2 条产出并排摆给用户。**机器只筛掉明显更差的，文风最后一票是用户。**
6. **晋级**：仅当 `decision==="promote"`（胜率 ≥70% 且无回退）**且用户点「认可」**——把候选写回 `agent/src/prompts/mine.js` 的 `MINE_SYSTEM`，commit（message 附 runId 与胜率），并跑 `npm test` 确认没破坏。否则保留报告、不动生产版。
## 边界
…Read the whole file at its exact version.
How to install
mdr add jianshuo/claude-skills/wjs-evaling-voicedrop-prompts@sha256:a3615d97ccbe27c9The line at the top of this page pins the label git:20260630.b59fc57, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ez5wymgygoo2dli4)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 30, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2824 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jianshuo/claude-skills · 138 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ez5wymgygoo2dli4 GET https://markdownregistry.com/api/v1/resolve?ref=jianshuo/claude-skills/wjs-evaling-voicedrop-prompts GET https://markdownregistry.com/api/v1/blob/a3615d97ccbe27c94055598512ecae7dd3b96449956ae02247ff09bcd7858265
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.