Code Review Checklist
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.
当用户需要理解、开发、扩展或验证 AgentLoom 框架能力时使用。覆盖创建/扩展 Application、设计单 Agent 或多 Agent、编写 Agent/Worker YAML、实现 Tool、创建私有 Skill 或 Hook、更新 README、验证 YAML/结构/运行结果。也适用于用户问“这个功能用 AgentLoom 怎么实现”。
Install Agentloom Framework Skill
$ npx skills add linora-u/AgentLoom --skill agentloom-framework-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linora-u/AgentLoom agentloom-framework-skill --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/linora-u/AgentLoom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agentloom-framework-skill .claude/skills/agentloom-framework-skill && 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 "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .claude/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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/linora-u/AgentLoom/tree/main/agentloom-framework-skillType 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 linora-u/AgentLoom --skill agentloom-framework-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linora-u/AgentLoom agentloom-framework-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linora-u/AgentLoom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agentloom-framework-skill .agents/skills/agentloom-framework-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .agents/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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 linora-u/AgentLoom --skill agentloom-framework-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linora-u/AgentLoom agentloom-framework-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linora-u/AgentLoom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agentloom-framework-skill .cursor/skills/agentloom-framework-skill && 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 "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .cursor/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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/linora-u/AgentLoom.git --path agentloom-framework-skill--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 linora-u/AgentLoom --skill agentloom-framework-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linora-u/AgentLoom agentloom-framework-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linora-u/AgentLoom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agentloom-framework-skill .gemini/skills/agentloom-framework-skill && 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 "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .gemini/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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 linora-u/AgentLoom agentloom-framework-skillInstalls 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 linora-u/AgentLoom --skill agentloom-framework-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linora-u/AgentLoom.git skills-src && mkdir -p .github/skills && cp -r skills-src/agentloom-framework-skill .github/skills/agentloom-framework-skill && 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 "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .github/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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 linora-u/AgentLoom --skill agentloom-framework-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linora-u/AgentLoom agentloom-framework-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linora-u/AgentLoom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agentloom-framework-skill .opencode/skills/agentloom-framework-skill && 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 "agentloom-framework-skill" agent skill from https://github.com/linora-u/AgentLoom/tree/main/agentloom-framework-skill into .opencode/skills/agentloom-framework-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentloom-framework-skill", 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.
Facts
- Skill name
agentloom-framework-skill- GitHub stars
- 168
- Token cost
- ~2.1k tokens
- SKILL.md length
- 465 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- None found
At a glance
当用户需要理解、开发、扩展或验证 AgentLoom 框架能力时使用。覆盖创建/扩展 Application、设计单 Agent 或多 Agent、编写 Agent/Worker YAML、实现 Tool、创建私有 Skill 或 Hook、更新 README、验证 YAML/结构/运行结果。也适用于用户问“这个功能用 AgentLoom 怎么实现”。
- Works in 12 steps: 先判断任务类型。目标清晰但路径绕远时，直接建议更短路径。 → 先做确定性扫描，再设计 Agent。不要凭印象写路径、工具名、模型名或配置字段。 → 能用 Python 确定性完成的放进… → …
- Development work in your project
- SKILL.md covers 前置条件, 快速决策, 模块地图 and 执行协议, plus 5 more sections
- Runs Python scripts from its folder; calls python and git
What it does
Agentloom Framework Skill is an agent skill from linora-u/AgentLoom. 当用户需要理解、开发、扩展或验证 AgentLoom 框架能力时使用。覆盖创建/扩展 Application、设计单 Agent 或多 Agent、编写 Agent/Worker YAML、实现 Tool、创建私有 Skill 或 Hook、更新 README、验证 YAML/结构/运行结果。也适用于用户问“这个功能用 AgentLoom 怎么实现”。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/application-generation.md`, `references/configuration-surface.md` and `references/function-routing.md`).
It sits in Development. It works with Python. The repository describes itself as: Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.
When your agent uses it
- Development work in your project
Example prompts
- “这个功能用 AgentLoom 怎么实现”
- “/agentloom-framework-skill”
Requirements
- Python 3
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- 先判断任务类型。目标清晰但路径绕远时，直接建议更短路径。
- 先做确定性扫描，再设计 Agent。不要凭印象写路径、工具名、模型名或配置字段。
- 能用 Python 确定性完成的放进 agent_tools/*.py；需要推理、判断、写作的放进 Agent workflow。
- 单职责用单 Agent；多个可独立验收阶段才用 Supervisor + N Worker。
- Application 内容必须落到 applications//；框架级 Skill/Hook 扩展按真实加载路径落盘；README 必须同步写验证记录。
- 写配置前先确认配置归属：LLM 参数只进 config/llm.yaml；应用行为优先用 applications//config/system.yaml 或 Agent YAML 白名单字段；Skill 不得声明 Hook，Hook 只通过顶层 hooks: 或显式…
- 新增或改变任何可配置字段时，必须同步更新 references/configuration-surface.md 和相关 YAML 契约；优先精简配置，只暴露用户确实需要调的字段，不为了“完整”增加开关。
- 框架功能不要新增兼容桥、旧字段回退或第二套路径；如果契约需要变化，直接改主路径、配置白名单、文档和验证。
- 设计或修改框架功能时必须先写验证矩阵：单测证明局部规则，真实 Application 证明完整运行链路；涉及上下文压缩时必须验证压缩后能按 ContextRef retrieve 原文，涉及 resume 时必须验证恢复后旧 ref 仍可 retrieve。
- 代码编写完成后不能只跑单测或 YAML 校验。必须按改动风险选择多条真实 Application 跑功能验证；现有 Application 覆盖不足时，新增最小验证 Application，保留在 applications//，让后续 Agent 可复跑。
- 每个真实 Application 跑完后都要读 .agentloom/runs///manifest.json、logs/runtime.log、audit/shell.jsonl 和关键产物，再判断是否符合预期；不要只看进程退出码或 LLM final…
- 如果用户不确定 shell 权限怎么配，先用隔离 runtime 跑真实 workflow，读取当前 run 的 audit/shell.jsonl 里的 [POLICY_SNAPSHOT] 和拦截事件，再收敛…
What it can do on your machine
Read from SKILL.md and the folder at commit c657c36. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythongit
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
Agentloom Framework Skill loads about 2.1k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 465 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 465 words (~2,135 tokens).
“本 Skill 是 AgentLoom 仓库的框架级入口，封装开发 AgentLoom 应用和扩展框架能力所需的上下文。一个入口 Skill 负责路由，细节放到按需 reference；不要把规则拆回多个互相竞争的 Skill。”
- name
- agentloom-framework-skill
Files
SKILL.md and 9 other files (scripts, references) in agentloom-framework-skill of linora-u/AgentLoom.
- SKILL.md
- references/application-generation.md
- references/configuration-surface.md
- references/function-routing.md
- references/readme-template.md
- references/shell-security-audit.md
- references/validation-and-review.md
- references/yaml-contract.md
- scripts/scan_tools.py
- scripts/validate_application_yaml.py
Open the folder on GitHubat commit c657c36
Compare with similar skills
Agentloom Framework Skill 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 |
|---|---|---|---|---|---|---|
| Agentloom Framework Skill this skilllinora-u/AgentLoom | 168 | — | ~2.1k | Automated safety check: Pass | None | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Summarise Ecosystem Resultsastral-sh/ruff | 50k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Minimizing Ty Ecosystem Changesastral-sh/ruff | 50k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Merge Dependabot PRsonyx-dot-app/onyx | 32k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Code Graph Mermaid Diagramstrailofbits/skills | 7.4k | 1 repos | ~1.7k | Automated safety check: Pass | CC-BY-SA-4.0 |
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Related
Works with
Categories
Questions about Agentloom Framework Skill
What does Agentloom Framework Skill do?
当用户需要理解、开发、扩展或验证 AgentLoom 框架能力时使用。覆盖创建/扩展 Application、设计单 Agent 或多 Agent、编写 Agent/Worker YAML、实现 Tool、创建私有 Skill 或 Hook、更新 README、验证 YAML/结构/运行结果。也适用于用户问“这个功能用 AgentLoom 怎么实现”。. Agentloom Framework Skill is an agent skill from linora-u/AgentLoom.
When should I use Agentloom Framework Skill?
Agentloom Framework Skill fits situations like: development work in your project.
How do I install Agentloom Framework Skill in Claude Code?
Run `npx skills add linora-u/AgentLoom --skill agentloom-framework-skill -a claude-code`. Or copy the skill folder (agentloom-framework-skill in linora-u/AgentLoom) into .claude/skills/agentloom-framework-skill in your project. Claude Code loads it when a task matches its description.
How do I install Agentloom Framework Skill in Codex?
Run `npx skills add linora-u/AgentLoom --skill agentloom-framework-skill -a codex`. Or copy the skill folder (agentloom-framework-skill in linora-u/AgentLoom) into .agents/skills/agentloom-framework-skill in your project. Codex loads it when a task matches its description.
Can I use Agentloom Framework Skill 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 linora-u/AgentLoom --skill agentloom-framework-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentloom-framework-skill, .gemini/skills/agentloom-framework-skill, .github/skills/agentloom-framework-skill and .opencode/skills/agentloom-framework-skill in your project.
What does Agentloom Framework Skill need to run?
Going by SKILL.md and its folder, Agentloom Framework Skill needs Python for the scripts in its folder and the command-line tools its instructions call (python and git). Our summary lists: Python 3.
Does Agentloom Framework Skill 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 Agentloom Framework Skill safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Agentloom Framework Skill use?
No licence was found for Agentloom Framework Skill or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Agentloom Framework Skill use?
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. Its references folder adds about 19k tokens, read only when the agent opens those files.
What are the alternatives to Agentloom Framework Skill?
Skills that share tags, products or a category with Agentloom Framework Skill: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Summarise Ecosystem Results (astral-sh/ruff, 50k stars), Minimizing Ty Ecosystem Changes (astral-sh/ruff, 50k stars) and Merge Dependabot PRs (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentloom Framework Skill?
linora-u (a GitHub user) maintains it in linora-u/AgentLoom, which has 168 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 5, 2026.
Source: linora-u/AgentLoom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.