Roo Conflict Resolution
zgsm-ai/costrict
Provides comprehensive guidelines for resolving merge conflicts intelligently using git history and commit context.
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…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .claude/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-caseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dsh-benchmark-case .agents/skills/dsh-benchmark-case && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .agents/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dsh-benchmark-case .cursor/skills/dsh-benchmark-case && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .cursor/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NanmiCoder/dsh-auto-mode.git --path skills/dsh-benchmark-case--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dsh-benchmark-case .gemini/skills/dsh-benchmark-case && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .gemini/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-caseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dsh-benchmark-case .github/skills/dsh-benchmark-case && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .github/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NanmiCoder/dsh-auto-mode --skill dsh-benchmark-case -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NanmiCoder/dsh-auto-mode dsh-benchmark-case --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NanmiCoder/dsh-auto-mode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dsh-benchmark-case .opencode/skills/dsh-benchmark-case && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dsh-benchmark-case" agent skill from https://github.com/NanmiCoder/dsh-auto-mode/tree/main/skills/dsh-benchmark-case into .opencode/skills/dsh-benchmark-case/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-benchmark-case", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dsh-benchmark-caseA 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. 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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 907d663. It shows what the files ask for, not the result of running them.
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.
Ships script files (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodegitFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check found patterns that need a careful read before installing.
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.
The full file from NanmiCoder/dsh-auto-mode at commit 907d663, republished under its MIT licence (© NanmiCoder). 847 words, ~2,735 tokens.
.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.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)。
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。
先回答三个问题,答不出就退回升级卡形态,不做题:
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。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。
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。
按"迁移前第 N 个 commit"的真实形态写 fixture,三个纪律:
"private": true;README 首行
"exam material only, do not publish"。源头切片除外(见 4)。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。
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 |
|---|---|---|
| Gate | fixtureChanges():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/HTTP | 30~60 |
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)。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。/:__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。
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:
Checkpoint:oracle 在容器里跑出 100/100(reward 1.0,下一步做)。
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):
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")。/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)。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):
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。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)。benchmark/scripts/validate-execution-contract.mjs:expectedModes
Map 加 ['<task-id>', '<mode>'](mode ∈ readonly | mutable |
build-artifacts-only)。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.mjsCheckpoint: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。
tasks/<id>/ 完整任务 + 四连注册表改动,与升级卡(如有)同一 PR 主题。$_S/ 无,按仓库惯例)。__DSH_BOOT__ 条目按 exports key 拼
${pkg}/client.js;判 boot 图别去匹配真实路径。httpServer→webServer(R1-09)、tasks→jobs;
fixture 用旧名、参考解用新名之前,先在容器冷启动验证哪个名能解析。['@deepseek-ai/dsh-base', '@deepseek-ai/dsh-web-app'];headless 用
headless 预设。别复用共享 ~/.dsh。[x] 括号技巧,否则匹配到
自己执行的 sh -c 会杀自己(本次实测 exit 143)。注意 [x] 只防"模式
文本自身":同一 sh -c 命令行的其他位置若还有明文 profile 名(如 add/boot
命令),pkill 依然自杀——把 pkill 拆成独立 exec。node --input-type=module -e 'script'
做路由冒烟时,内嵌脚本中的单引号会在 sh 单引号内提前闭合 → node 收残缺
程序 → SyntaxError 伪装成"路由失败"(stderr 只有 node 栈尾)。修法:
内嵌脚本零单引号(断言用 JSON.parse(text).ok === true 而非
text.includes('"ok":true'))。已写进 M14 judge 头注释。$_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。private: true + "exam material only";旧形态容器实测会坏© NanmiCoder, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (references, assets) in skills/dsh-benchmark-case of NanmiCoder/dsh-auto-mode.
Open the folder on GitHubat commit 907d663
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.
Dsh Benchmark Case next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dsh Benchmark Case this skillNanmiCoder/dsh-auto-mode | 165 | 1 repos | ~2.7k | Automated safety check: Warn | MIT | |
| Roo Conflict Resolutionzgsm-ai/costrict | 4.4k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| SkillhoneTencent/SkillHone | 168 | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Release Prepfinch-xu/cc-router | 270 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
zgsm-ai/costrict
Provides comprehensive guidelines for resolving merge conflicts intelligently using git history and commit context.
Tencent/SkillHone
Local Issue, pull-request, and Wiki workbench for agent skills.
finch-xu/cc-router
cc-router 发版准备一条龙:升版本号 → 根据上一个 tag 以来的提交写 release-notes/<版本/ 的中英日三份更新内容 → 校验 → 给用户审 → 本地提交「Bump version to X.Y.Z」,停在打 tag 之前。当用户说「准备发版」「发个版」「发 6.1.0」「写发版说明 / 更新内容 / release notes」「bump 版本」时必须走本…
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Egonex-AI/Understand-Anything
Answers questions about a codebase by searching a prebuilt knowledge graph of its files, functions, classes and dependencies, not by rereading every source file.
NanmiCoder/dsh-auto-mode
Audit external compatibility between two DSH (DeepSeek Harness) versions and detect reverts, producing an upgrade-report directory; compares git tags with a source checkout, or published npm…
NanmiCoder/dsh-auto-mode
Coordinate multiple DeepSeek Harness plugin Skills across inspection, migration, runtime debugging, heavy dependencies, testing, naming, and release.
NanmiCoder/dsh-auto-mode
A skill your agent uses when creating a DeepSeek Harness plugin, choosing public names for a new external DSH plugin, validating a dsh-plugin.naming.json manifest, checking reviewed central…
NanmiCoder/dsh-auto-mode
A skill your agent uses when writing or reviewing tests for DeepSeek Harness plugins, external DSH plugin packages, or package changes in the deepseek-harness repository.
NanmiCoder/dsh-auto-mode
Package, publish, and distribute DeepSeek Harness (DSH) plugins — npm pack artifact validation, GitHub/npm/hub release-track selection, tarball overrides installs for the unpublished cohort…
NanmiCoder/dsh-auto-mode
A skill your agent uses when adding a heavyweight browser dependency (diagram/chart renderers like mermaid, code editors, big wasm-adjacent libs) to a lightweight DSH Web plugin that must stay…
Categories
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.
Dsh Benchmark Case fits situations like: also applies to turning existing version cards (references/v.md) into executable exam tasks.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.