Chalk Labs
Need help deploying shell?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/blockcell-labs-shell
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What's inside
- Skill name
shell- Description
- None
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (3)
- SKILL.md
- SKILL.rhai
- meta.yaml
SKILL.md (first lines)
# Shell
## Shared {#shared}
- 适合用户明确要求“执行命令”“跑一下”“在终端里执行”这类本机命令。
- 默认工作目录是当前 workspace;如果用户明确指定目录,按用户目录执行。
- 这个 skill 只负责明确的本机命令执行,不负责替用户猜测复杂部署流程。
## Prompt {#prompt}
- 只有在以下情况才澄清:
- 用户没有给出明确命令或目标动作
- 用户要执行的动作明显危险,但没有明确确认
- 工具策略:
1. 用 `exec` 执行明确命令
2. 如果用户给了目录,显式传入工作目录
3. 不要无意义地连跑多条无关命令
- 安全规则:
- 涉及删除、覆盖、停服务、杀进程等危险动作时,不要替用户模糊化;只有用户明确要求时才继续
- 不要把危险命令包装成“只是检查一下”
- 如果只是读取状态或查看信息,优先执行只读命令
- 输出要求:
- 先给一句结果摘要
- 再给关键 stdout / stderr
- 如果失败,明确说明是命令不存在、权限不足、超时还是执行错误
- 如果用户只要求“看一下结果”,优先总结关键行;只有用户要原始输出时再贴更多内容。From blockcell-labs/blockcell, MIT.
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Signals
- Stars
- 260
- Forks
- 50
- Open issues
- 13
- Last commit (this folder)
- Mar 18, 2026 (7 months ago)
- Last release
- Jun 28, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/blockcell-labs/blockcell
- Website
- blockcell.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
shell skill. Agent Mart. https://agentmart.dev/skills/blockcell-labs-shell (last updated 2026-10-24)