Agent skill

Dsh Benchmark Case

by NanmiCoder in NanmiCoder/dsh-auto-mode

A skill your agent uses when the user hands over a dsh plugin repository (or a real migration commit / version corridor) and wants its upgrade experience extracted into one auto-graded Harbor…

MITAuto-check: warningsDevelopment

Install Dsh Benchmark Case

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dsh-benchmark-case .claude/skills/dsh-benchmark-case && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dsh-benchmark-case
GitHub stars
165
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
847 words
Files
14 (incl. references, assets)
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user hands over a dsh plugin repository (or a real migration commit / version corridor) and wants its upgrade experience extracted into one auto-graded Harbor…

  • Works in 7 steps: 选材与走廊定位 → 骨架与命名 → fixture 构造 → …
  • Also applies to turning existing version cards (references/v.md) into executable exam tasks
  • SKILL.md covers 何时使用, 工作原理(一句话), Pipeline and 交付, plus 3 more sections
  • Runs JavaScript scripts from its folder; calls node and git

What it does

Dsh Benchmark Case is an agent skill from NanmiCoder/dsh-auto-mode. Use when the user hands over a dsh plugin repository (or a real migration commit / version corridor) and wants its upgrade experience extracted into one auto-graded Harbor benchmark exam task — produce tasks/<id/ (fixture + instruction.md + task.toml + judge.mjs + solution) that harbor run can grade 0–1 and that folds into the dsh-plugin-upgrade-skill benchmark suite; also applies to turning existing version cards (references/v.md) into executable exam tasks. Not for writing upgrade cards; not for running the…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files and assets (for example `references/case-selection.md`, `references/contract-clauses.md` and `references/grading-recipe.md`).

It sits in Development. It works with DeepSeek and Git. The repository describes itself as: Safe automatic permissions for DeepSeek Harness. The licence is MIT.

When your agent uses it

  • Also applies to turning existing version cards (references/v.md) into executable exam tasks

Example prompts

  • “/dsh-benchmark-case”

Requirements

  • Node.js
  • A Bash shell
  • Docker

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 选材与走廊定位
  2. 骨架与命名
  3. fixture 构造
  4. judge 设计(判分心法)
  5. oracle(参考解)
  6. 契约与注册表同步(四连)
  7. 校验与 oracle 自检(门禁)

What it can do on your machine

Read from SKILL.md and the folder at commit 907d663. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dsh Benchmark Case loads about 2.7k tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 847 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:179
    no-pause("do not pause to wait for confirmation")、

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NanmiCoder/dsh-auto-mode at commit 907d663, republished under its MIT licence (© NanmiCoder). 847 words, ~2,735 tokens.

Download SKILL.mdSave it as .claude/skills/dsh-benchmark-case/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
dsh-benchmark-case
description
Use when the user hands over a dsh plugin repository (or a real migration commit / version corridor) and wants its upgrade experience extracted into one auto-graded Harbor benchmark exam task — produce tasks/<id>/ (fixture + instruction.md + task.toml + judge.mjs + solution) that harbor run can grade 0–1 and that folds into the dsh-plugin-upgrade-skill benchmark suite; also applies to turning existing version cards (references/v*.md) into executable exam tasks. Not for writing upgrade cards; not for running the benchmark.
license
MIT

从插件仓库提取 dsh 升级考题

把一个真实发生的插件迁移(git 历史里的破坏性变更 commit)变成一道 Harbor 考题:旧形态插件为 fixture(装上必坏,或有隐藏坑),新形态为 oracle 参考解,judge 在容器内真实冷启动判活。产出跟随 ./benchmark/(上文:oh-my-dsh/dsh-plugin-upgrade-skill 的 benchmark 目录)。

上下文锚点:目标套件是 dsh-plugin-upgrade-skill 的 benchmark v2.4(Harbor 格式),host 镜像固定为 node:24-bookworm + 全局 dsh 0.1.2-alpha.2。每条考题 遵循 execution-contract(BENCHMARK-AUTH-v1)与固定评分模型(100 分/题)。

何时使用

  • 用户给一个插件仓库,说"提成考题 / 做成 case / 转 benchmark task"。
  • 用户拿着一条版本走廊或一个迁移 commit,要可执行的评测而不是文档。
  • 现有升级卡(references/v*.md)需要测"AI 会不会照卡修"。

工作原理(一句话)

fixture = 迁移前形态(偶藏误导注释/预置失败),judge = 静态检查 + 容器内真实冷启动信号(pending / plugin tree failed / MISSING_CREDENTIAL / __DSH_BOOT__ 条目),oracle = 参考迁移,判分天然 0~1。

Pipeline

Stage 0 · 选材与走廊定位

先回答三个问题,答不出就退回升级卡形态,不做题:

  1. 迁移方向:仓库 git 历史里哪一个 commit / 哪一段走廊是"host 升级导致的 必需改动"?(例:426e86d whale-girl bundle 转换,走廊 rc.8→rc.1)。 纯自研重构、无 host 侧断裂的 commit 不成题。
  2. 可测性:迁移后形态能否在容器内"装得上 + 冷启动得到确定信号"? 判分信号必须是宿主侧信号(见 Stage 3),不是"输出文本长什么样"。 无浏览器容器 ⇒ client 运行时不可判,只能判 boot 图条目 / HTTP 状态。
  3. 对应卡:这条走廊在 references/ 里有没有卡(或需要先补卡)? 考题与卡是一对多:一道题可以覆盖多张卡,但卡必须已存在或随题新增 (validate.mjs 会校验卡引用存在且链接可解析)。

选材标准(×成立越多越好):迁移真实发生过(有 commit 可考); 断裂面小(1~4 个 touchpoint);装旧形态必有可观察故障(pending / 静默缺行为); 新形态在 alpha.2 上可冷启动验证;最好带隐藏坑(诱导注释 / 看着无辜的面上 藏着致命伤——坑要来自真实迁移的"第二个 commit",不是编的)。

产出:选定的 task id(见 Stage 1 命名)+ 走廊 + 覆盖的卡 ID 清单 + fixture 应模拟的第 N 个 commit 形态(迁移前)。Checkpoint:三者对齐才继续。

Stage 1 · 骨架与命名

任务目录 tasks/<id>/,id 命名:前缀字母 S(静态只读)/ M(迁移可改)/ H(hands-on 陷阱),编号接该系列现有最大值。编号不要凭记忆硬编码—— 动手前先 ls benchmark/tasks/ 并对照 benchmark/README.md 任务表与注册表 校验脚本确认当前集合(当前 52 题:S1–S16 / M1–M14 / H1–H22,下一可用 S17 / M15 / H23),勿跳号。一个任务一个目录:

tasks/<id>/
├── instruction.md        # 给 agent 的 prompt(含 BENCHMARK-AUTH-v1 契约)
├── task.toml             # Harbor 配置(见 assets/task.toml.example)
├── environment/
│   ├── Dockerfile        # node:24-bookworm + git + pnpm + dsh alpha.2 + git 基线
│   └── fixture/          # 旧形态插件(private:true,README 声明 exam material)
├── tests/
│   ├── test.sh           # verifier 入口:跑 judge,score→reward 写 /logs/verifier/
│   ├── judge.mjs         # 判分逻辑(全部在这)
│   └── judge-utils.mjs   # 共享判分库:profile 生命周期、冷启动信号、清理
└── solution/
    ├── solve.sh          # oracle:把参考解拷进 fixture
    ├── SOLUTION.md       # 参考解说明 + The Point + Grading Boundary
    └── plugin/           # 参考迁移后的完整文件

模板在 $_S/assets/:task.toml.example、instruction.md.example、 judge-utils.mjs(整库直接复制)、test.sh.example、Dockerfile.example、 solve.sh.example、judge.mjs.example(骨架)。

装 dsh 的 Dockerfile 必须(与现有任务一致,勿改版本): FROM node:24-bookworm;装 git;npm install -g pnpm@11.24.0 @deepseek-ai/dsh@0.1.2-alpha.2;COPY fixture → /app/fixture;git init + 基线 commit(judge 靠 git status --porcelain -- fixture 判"fixture 是否被改", 只读题 0 分门禁,可变题 0 分门禁的相同实现)。Checkpoint:目录 6 块齐全。

Stage 2 · fixture 构造

按"迁移前第 N 个 commit"的真实形态写 fixture,三个纪律:

  1. 必须私有:package.json "private": true;README 首行 "exam material only, do not publish"。源头切片除外(见 4)。
  2. 坑要用真坑:误导注释要像真话——来自真实迁移决策记录里"当时为什么 这样做/为什么别改"的措辞;预置失败测试要确实预先失败且与升级无关 (测诚实报告,不测静默修复)。
  3. 坏必须可观察:旧形态要么装上 pending / plugin tree failed,要么 静默缺行为但 judge 有对应锚(如 boot 图没有该插件的 client 条目)。 判分锚必须能在容器里拿到,拿不到的 feature 不出现在 judge 里。
  4. 上游切片保留原元数据(Apache-2.0 真实仓库切片如 dsh-web):保留 license/original package.json,读 provenance/ 惯例(见基准 tasks/H9-dsh-web-alpha2/provenance/)。

fixture 放哪、可以留什么:Node half 可留在 .dsh-plugin/ 子目录等 旧布局位置——但这类布局有深坑可挖:host 的 client-modules 从 Node entry 文件向上找最近 package.json 作为包身份(机制见 $_S/references/host-archaeology.md 的"manifest 遮蔽"条目)。设计 fixture 时可利用这类机制布坑:让旧布局残留文件影响包识别,浏览器半静默消失; 判分侧的 boot 图条目检查会自然抓到。具体某道在线题怎么布、参考解怎么收 尾,不在此展开——方法级不讲答案。

Checkpoint:dsh plugin add 旧 fixture 在容器里真的坏 / 有静默缺陷; 新 fixture(参考解)全绿。两态都必须先本地 docker 验证,不许只靠想象。

Stage 3 · judge 设计(判分心法)

固定评分模型:100 分/题,emit(score, reasons) 最后一行输出 {"score":0-100,"max":100,"reasons":[...]},test.sh 归一化到 0~1 写 /logs/verifier/reward.txt。线性叠加 checkpoints,禁止加权魔法。

通用三段式:

段内容分数惯例
GatefixtureChanges():fixture 必须被改(静态题 0 分;可变题 0 分)0 或整体继续
静态manifest 字段 / exports / patch insert 行 / 源码模式(grep)40~70
运行时dsh plugin add + 冷启动信号 + boot 图条目/HTTP30~60

判分锚必须是宿主侧信号(从 judge-utils.mjs 输出获取):

  • NEGATIVE_SIGNAL:plugin tree failed / did not activate / pending (waiting for service: …) / FAILED fiber / ClientPackageCompositionError = 失败带(通常 40 或该 check 0 分)。
  • headless 冷启动:无 API key 时到达 MISSING_CREDENTIAL / no API key / dsh: AUTH = 插件树整体激活,通过。出口码不算——无 key 成功也 exit 1。
  • web 冷启动 + GET /:__DSH_BOOT__.entries 包含 <pkg>/client.js (注意:boot 图 URL 按 exports 的 key 拼 ${pkg}/client.js,与文件 真实路径无关)或该插件的 HTTP 通道 401/200 冒烟。

边界声明:judge 头注释与 SOLUTION.md 的 Grading Boundary 必须写明"容器 内没有浏览器 → client 运行时行为不判,只判宿主宣告的 boot 图条目"这类边界; 未覆盖面同样写进 scoring.md。

分数带设计提醒:给"半对"留带(关键声明完整给满分、缺字段给半分、 完全缺失 0 分);陷阱跟随者给封顶(如误导注释说别改 X,留着 X = 该 check 上限)。判分必须能区分"真迁移"与"看起来绿但绕开了迁移"——绕道 路径 boot 也能绿,要用静态检查(grep 特定字段/模式)封顶才抓得住。

运行纪律:judge 只建 bench-<task> profile 与 /tmp/bench-<task>, finally 里清理(pkill 用 [x] 自逃逸模式防止自杀)。timeout 充足(add 180s / boot 60s / web 150s,真实 workspace 题 verifier 900s)。judge 永远 exit 0, test.sh 解析不了 JSON 时按 0 计。

Stage 4 · oracle(参考解)

solution/plugin/ 是完整迁移后的 fixture;solve.sh 逐文件覆盖进 /app/fixture/,并显式删除该题迁移要求删除的残留文件。 SOLUTION.md 三节必备:

  1. Reference Changes:每条改动对应卡 ID 全名(如 DSH-0.1.1-R1-01, 不要写 R1-01 简写——validate.mjs 校验全 ID 存在)。
  2. The Point (one sentence):这道题真正测的一招。
  3. Grading Boundary:与 Stage 3 的边界一致。
  4. Warning:如果 judge 是 grep 源码模式判"已删除",参考解源码注释里 不得出现被 grep 的字面 token(实战教训:solution 注释复述了被判 "已删除"的旧标识符字面,judge grep 命中注释导致自伤扣分)。

Checkpoint:oracle 在容器里跑出 100/100(reward 1.0,下一步做)。

Show full SKILL.md (366 more words)Show less
Stage 5 · 契约与注册表同步(四连)

instruction.md 契约(validate-execution-contract.mjs 用正则逐条匹配, 字面必须命中,双语任选其一):

  • 恰好一处 BENCHMARK-AUTH-v1;契约五子句: no-follow-up("there will be no follow-up user messages")、 proceed-after-plan("continue executing immediately once the plan is formed")、 no-pause("do not pause to wait for confirmation")、 no-modify("must not modify the skill")、 no-stop("do not stop merely because another round of confirmation is missing")。
  • 边界授权句按 mode:可变题 "you may modify /app/fixture/ directly"; 只读题 "/app/fixture/ must remain completely unchanged"; build-artifacts 题 src 零改动 + lib 可清理(照抄现有任务的措辞最稳)。
  • task.toml:execution_contract = "BENCHMARK-AUTH-v1" 恰好一次、 version = "1.1.0"。

四连注册表(全部必须同步,否则校验失败):

  1. benchmark/README.md:任务表加行(Task/Type/What it tests);顶部 "The N plugin-upgrade tasks measure";"The first N are written exams … the last M are hands-on"(按 Type 列计数);# all N tasks 注释; "All N instruction.md files carry";"existing N tasks" 维护者注记。
  2. benchmark/docs/scoring.md:Total <N×100> (N tasks × 100; …); 任务表加行(Checkpoint 卡引用 + Score breakdown 精确到每条)。
  3. benchmark/scripts/validate-execution-contract.mjs:expectedModes Map 加 ['<task-id>', '<mode>'](mode ∈ readonly | mutable | build-artifacts-only)。
  4. benchmark 的卡引用:全 ID + 链接可解析(validate.mjs 会查)。
Stage 6 · 校验与 oracle 自检(门禁)
sh
cd dsh-plugin-upgrade-skill
node scripts/validate.mjs                       # 卡 + 链接 + 引用全绿
node benchmark/scripts/validate-task-registry.mjs    # 任务清单/计数注册表一致
node benchmark/scripts/validate-execution-contract.mjs  # 契约五子句 + mode
# oracle 自检(must be 1.0):
harbor run -p benchmark/tasks/<id> -a oracle
# harbor 不可用时(本机 pip/uv 受限),用 docker 手动走通等价值:
#   docker build -t bench-<id> environment/ && docker run ... 复制 oracle →
#   fixture → node tests/judge.mjs → 断言 {"score":100}
node --check tests/judge.mjs && node --check tests/judge-utils.mjs

Checkpoint:三个校验全绿 + oracle 100/100 + 文件权限(solve.sh / test.sh 755,与现有任务一致)。不绿不交付。

交付

  • tasks/<id>/ 完整任务 + 四连注册表改动,与升级卡(如有)同一 PR 主题。
  • PR 描述声明验证命令与结果(validate × 3 + oracle 1.0)、覆盖的卡、 未覆盖边界、致谢(本次实战致谢脚本 $_S/ 无,按仓库惯例)。

Gotchas(实战教训,新增题前先扫)

  1. 注释会自伤:solution 源码注释不得含 judge 要 grep 的"已删除"字面 token。
  2. manifest 遮蔽:client-modules 从 Node entry 向上找最近 package.json; 残留旧清单(无 dsh.client)让浏览器半静默消失——参考解要删, 这是合法题点不是 bug。
  3. boot URL ≠ 文件路径:__DSH_BOOT__ 条目按 exports key 拼 ${pkg}/client.js;判 boot 图别去匹配真实路径。
  4. 服务名随走廊变:httpServer→webServer(R1-09)、tasks→jobs; fixture 用旧名、参考解用新名之前,先在容器冷启动验证哪个名能解析。
  5. profile 组合:web 冷启动 profile 用 ['@deepseek-ai/dsh-base', '@deepseek-ai/dsh-web-app'];headless 用 headless 预设。别复用共享 ~/.dsh。
  6. 版本钉死:Dockerfile 的 pnpm/dsh 版本与现有全部任务完全一致 (pnpm@11.24.0 / dsh@0.1.2-alpha.2);改了等于换题。
  7. pkill 自杀:judge 清理命令 pidpattern 用 [x] 括号技巧,否则匹配到 自己执行的 sh -c 会杀自己(本次实测 exit 143)。注意 [x] 只防"模式 文本自身":同一 sh -c 命令行的其他位置若还有明文 profile 名(如 add/boot 命令),pkill 依然自杀——把 pkill 拆成独立 exec。
  8. sh 引号吞内嵌脚本:judge 里用 node --input-type=module -e 'script' 做路由冒烟时,内嵌脚本中的单引号会在 sh 单引号内提前闭合 → node 收残缺 程序 → SyntaxError 伪装成"路由失败"(stderr 只有 node 栈尾)。修法: 内嵌脚本零单引号(断言用 JSON.parse(text).ok === true 而非 text.includes('"ok":true'))。已写进 M14 judge 头注释。
  9. harbor 可用性:本机 harbor CLI 因 uv/pip 沙箱装不上;oracle 验证可用 docker 手动等价路径,README 说明跑法(harbor run -a oracle 为标准式)。
  10. 一个走廊多题:强 case(如 bundle 转换、服务改名)可出多道独立题, 各自 fixture 聚焦不同 touchpoint;不要一道题塞所有。
  11. 判别力验证:交付前不只要 oracle=100,还要跑负例矩阵——未动 fixture 必须 0(gate)、陷阱跟随为该 check 上限、半迁移(如只改服务名 不改事件名)落在预期带。judge 要是"什么都得高分"就没有评测价值。

references(按需读)

  • $_S/references/case-selection.md — 选材判据细节与反例。
  • $_S/references/harbor-task-spec.md — 目录规范、task.toml 字段、 环境镜像、判分信号表(详细版)。
  • $_S/references/contract-clauses.md — 契约五子句与授权句的全量字面 (照抄最稳)。
  • $_S/references/grading-recipe.md — judge 三段式、分数带、caps 设计。
  • $_S/references/host-archaeology.md — 宿主源码考古出的坑与证据 (client-modules 解析、boot URL、服务改名)。
  • $_S/references/registry-sync.md — 四连同步全量清单 + 校验命令。
  • $_S/assets/ — task.toml.example / instruction.md.example / judge-utils.mjs(完整库)/ judge.mjs.example / test.sh.example / Dockerfile.example / solve.sh.example。

校验清单(交付前逐项自查)

  • Stage 0 三问:真实迁移 / 容器可测 / 卡存在或随题新增
  • fixture private: true + "exam material only";旧形态容器实测会坏
  • judge 全部锚是宿主侧信号;gate/静态/运行时三段齐全;边界声明齐全
  • oracle 100/100(harbor 或 docker 手动)
  • solution 注释无 judge grep token;残留清单已删
  • 四连注册表同步(README × 6 计数、scoring Total+行、expectedModes)
  • validate.mjs + validate-task-registry + validate-execution-contract 全绿
  • solve.sh / test.sh 755

© NanmiCoder, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (references, assets) in skills/dsh-benchmark-case of NanmiCoder/dsh-auto-mode.

  • SKILL.md
  • assets/Dockerfile.example
  • assets/instruction.md.example
  • assets/judge-utils.mjs
  • assets/judge.mjs.example
  • assets/solve.sh.example
  • assets/task.toml.example
  • assets/test.sh.example
  • references/case-selection.md
  • references/contract-clauses.md
  • references/grading-recipe.md
  • references/harbor-task-spec.md
  • references/host-archaeology.md
  • references/registry-sync.md

Open the folder on GitHubat commit 907d663

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NanmiCoder/dsh-auto-mode, which our catalogue first saw on October 7, 2026.

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Works with

Categories

Questions about Dsh Benchmark Case

What does Dsh Benchmark Case do?

A skill your agent uses when the user hands over a dsh plugin repository (or a real migration commit / version corridor) and wants its upgrade experience extracted into one auto-graded Harbor…. Dsh Benchmark Case is an agent skill from NanmiCoder/dsh-auto-mode.md) into executable exam tasks.

When should I use Dsh Benchmark Case?

Dsh Benchmark Case fits situations like: also applies to turning existing version cards (references/v.md) into executable exam tasks.

How do I install Dsh Benchmark Case in Claude Code?

Run `npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a claude-code`. Or copy the skill folder (skills/dsh-benchmark-case in NanmiCoder/dsh-auto-mode) into .claude/skills/dsh-benchmark-case in your project. Claude Code loads it when a task matches its description.

How do I install Dsh Benchmark Case in Codex?

Run `npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a codex`. Or copy the skill folder (skills/dsh-benchmark-case in NanmiCoder/dsh-auto-mode) into .agents/skills/dsh-benchmark-case in your project. Codex loads it when a task matches its description.

Can I use Dsh Benchmark Case in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dsh-benchmark-case, .gemini/skills/dsh-benchmark-case, .github/skills/dsh-benchmark-case and .opencode/skills/dsh-benchmark-case in your project.

What does Dsh Benchmark Case need to run?

Going by SKILL.md and its folder, Dsh Benchmark Case needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and git). Our summary lists: Node.js; A Bash shell; Docker.

Does Dsh Benchmark Case access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Dsh Benchmark Case safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Dsh Benchmark Case use?

Dsh Benchmark Case is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dsh Benchmark Case use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.9k tokens, read only when the agent opens those files.

What are the alternatives to Dsh Benchmark Case?

Skills that share tags, products or a category with Dsh Benchmark Case: Roo Conflict Resolution (zgsm-ai/costrict, 4.4k stars), Skillhone (Tencent/SkillHone, 168 stars), Release Prep (finch-xu/cc-router, 270 stars) and Finishing a Development Branch (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dsh Benchmark Case?

NanmiCoder (a GitHub user) maintains it in NanmiCoder/dsh-auto-mode, which has 165 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 29, 2026.

Source: NanmiCoder/dsh-auto-mode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.