Alego Code Review
singula-ai/alego
A skill your agent uses when reviewing a pull request in the alego repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality gates) and the…
A skill your agent uses when reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality…
$ npx skills add Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Zhou-Yujing114514/deepseek-harness-linux dsh-code-review --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/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/dsh-code-review .claude/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .claude/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-reviewType 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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Zhou-Yujing114514/deepseek-harness-linux dsh-code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/dsh-code-review .agents/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .agents/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Zhou-Yujing114514/deepseek-harness-linux dsh-code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/dsh-code-review .cursor/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .cursor/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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/Zhou-Yujing114514/deepseek-harness-linux.git --path .agents/skills/dsh-code-review--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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Zhou-Yujing114514/deepseek-harness-linux dsh-code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/dsh-code-review .gemini/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .gemini/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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 Zhou-Yujing114514/deepseek-harness-linux dsh-code-reviewInstalls 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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/dsh-code-review .github/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .github/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Zhou-Yujing114514/deepseek-harness-linux dsh-code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Zhou-Yujing114514/deepseek-harness-linux.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/dsh-code-review .opencode/skills/dsh-code-review && 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-code-review" agent skill from https://github.com/Zhou-Yujing114514/deepseek-harness-linux/tree/master/.agents/skills/dsh-code-review into .opencode/skills/dsh-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dsh-code-review", 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-code-reviewA skill your agent uses when reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality…
Dsh Code Review is an agent skill from Zhou-Yujing114514/deepseek-harness-linux. Use when reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality gates) and the review-specific checks that code alone can't show
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Quality gates, Architecture decision records and Agent instruction files. It works with DeepSeek. The repository describes itself as: First-class Linux packaging for DeepSeek Harness desktop — AppImage, .deb, .tar.gz for x64/arm64, built by native CI. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 35a829f. 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.
Shell commands in SKILL.md call:
pnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, 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 Code Review loads about 2.1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,013 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 no risky patterns in SKILL.md.
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 Zhou-Yujing114514/deepseek-harness-linux at commit 35a829f, republished under its MIT licence (© Zhou-Yujing114514). 1,013 words, ~2,126 tokens.
.claude/skills/dsh-code-review/SKILL.md (or your agent's skills folder).This skill is guidance, not a complete checklist. Verify and fetch the PR's live base and exact head, then run pnpm --silent run change-scope --base <verified-base-ref> --head <verified-head-ref> before reading the diff and enough surrounding code to understand the design. The report identifies paths and dirty layers but does not replace semantic review. Re-establish the base and rerun it after a retarget or merge. Prioritize correctness, lifecycle, security, and broken required behavior over style; a short review with one substantiated blocker is better than a list of nits.
type-equiv entry. Internal types need no catalog entry.t seat or explicit localized props, verify-client-ui-i18n, and behavior evidence in each affected locale; preserve user/model/wire data and code tokens verbatim.State the defect, location, impact, and evidence. Place a localized defect inline on the tightest relevant diff range; use a PR-level comment for cross-cutting architecture, scope, or review-wide synthesis. Separate blockers from suggestions and omit issues already enforced by a green gate. Use the existing GitHub review thread for replies. When receiving review, verify each claim and fix or rebut it on technical grounds without performative agreement.
© Zhou-Yujing114514, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/dsh-code-review of Zhou-Yujing114514/deepseek-harness-linux.
Open the folder on GitHubat commit 35a829f
Dsh Code Review 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 Code Review this skillZhou-Yujing114514/deepseek-harness-linux | 120 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Alego Code Reviewsingula-ai/alego | 109 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Compound Engineering Code ReviewEveryInc/compound-engineering-plugin | 25k | — | ~2k | Automated safety check: Pass | MIT | |
| PR Deep VerificationQwenLM/qwen-code | 28k | — | ~23k | Automated safety check: Pass | Apache-2.0 | |
| Deep Reviewdyad-sh/dyad | 22k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Code Reviewimbenrabi/Financial-Modeling-Prep-MCP-Server | 150 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 |
singula-ai/alego
A skill your agent uses when reviewing a pull request in the alego repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality gates) and the…
EveryInc/compound-engineering-plugin
Runs a staged pull request or diff review using selected reviewer personas, checking the change against its stated intent and project standards before producing findings.
QwenLM/qwen-code
Runs a sandboxed, evidence-based check of one qwen-code pull request, proving its main change against the base build and writing a report with a machine-readable verdict.
dyad-sh/dyad
Deep multi-agent code review run locally — a fleet of parallel finder agents reviews the diff from independent angles, then adversarial verifier agents reproduce each finding before it is reported.
imbenrabi/Financial-Modeling-Prep-MCP-Server
Review a PR or working diff against this repo's intent layer (the AGENTS.md hierarchy), toolception pitfalls, and core invariants.
yuga-hashimoto/and-code
Runs local checks and a repo-reviewer subagent over the whole branch diff before a pull request is opened, then records the approval in the PR description.
Zhou-Yujing114514/deepseek-harness-linux
Use on Windows for unexpected DSH sandbox access denials: workspace writes or listing fail, or an ordinarily readable path cannot be read.
Zhou-Yujing114514/deepseek-harness-linux
A skill your agent uses when a deepseek-harness change breaks an externally perceptible surface (CLI, profiles, cordis.yml or settings keys, persisted user data, SDK or wire APIs, published package…
Zhou-Yujing114514/deepseek-harness-linux
A skill your agent uses when designing, reviewing, adding, enabling, disabling, installing, configuring, or debugging a plugin, bundle, feature, page, panel, tool, or MCP connection in the current…
Zhou-Yujing114514/deepseek-harness-linux
Design, review, and diagnose DeepSeek Harness tests and fixtures that can fail nondeterministically under CI concurrency, shared host resources, clocks, process-global state, subprocesses, network…
Zhou-Yujing114514/deepseek-harness-linux
Find evidence-backed simplifications in DeepSeek Harness code, APIs, configuration, tests, and prose; write or consolidate proposals, identify small inline cleanups, or assess simplifications from…
Zhou-Yujing114514/deepseek-harness-linux
Design and review DeepSeek Harness client UI changes — visual token discipline, reuse-before-adding, feedback surfaces (toast vs in-place notice vs empty state), overlay and menu safety, platform…
Works with
Categories
A skill your agent uses when reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebase's standards (AGENTS.md conventions, defensive patterns, ADRs, quality…. Dsh Code Review is an agent skill from Zhou-Yujing114514/deepseek-harness-linux.
Dsh Code Review fits situations like: reviewing a pull request in the deepseek-harness repo — orients the reviewer to this codebases standards (AGENTS.md conventions; defensive patterns; quality gates) and the review-specific checks that code alone cant show.
Run `npx skills add Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a claude-code`. Or copy the skill folder (.agents/skills/dsh-code-review in Zhou-Yujing114514/deepseek-harness-linux) into .claude/skills/dsh-code-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -a codex`. Or copy the skill folder (.agents/skills/dsh-code-review in Zhou-Yujing114514/deepseek-harness-linux) into .agents/skills/dsh-code-review 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 Zhou-Yujing114514/deepseek-harness-linux --skill dsh-code-review -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-code-review, .gemini/skills/dsh-code-review, .github/skills/dsh-code-review and .opencode/skills/dsh-code-review in your project.
Going by SKILL.md and its folder, Dsh Code Review needs the command-line tools its instructions call (pnpm).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dsh Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dsh Code Review: Alego Code Review (singula-ai/alego, 109 stars), Compound Engineering Code Review (EveryInc/compound-engineering-plugin, 25k stars), PR Deep Verification (QwenLM/qwen-code, 28k stars) and Deep Review (dyad-sh/dyad, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Zhou-Yujing114514 (a GitHub user) maintains it in Zhou-Yujing114514/deepseek-harness-linux, which has 120 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 6, 2026.
Source: Zhou-Yujing114514/deepseek-harness-linux on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.