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demo-5-sandbox-feature-pr

Demo skill for the meta "decode improves decode" flow — launch decode in a sandboxed clone of the course repo, plan and build one small feature inside the Workspace, let Hand-back push the Session Branch, then open a draft PR against the course repo.

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价格未确认★ 347 GitHub Stars目录更新于 · 2026年9月3日agent-skill

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The meta demo: decode improves decode. Run decode inside an isolated sandbox Workspace that is a clone of this very course repo, plan and implement one small self-contained feature there, and let the harness ship the work back as a branch you turn into a draft PR.

Nothing the model does touches your host checkout — the Workspace is an isolated clone, and the branch only lands on your host through Hand-back (ADR-0012 §8).

1. Launch decode against a sandboxed clone of the course repo (human step)

Sandbox mode is selected by the SANDBOX_MODE environment variable — it is an env var, not a command-line flag; the repo to clone into the Workspace is the --repo flag. Launch the local docker rung (Docker must be running):

SANDBOX_MODE=docker decode --repo git@github.com:decodingai-magazine/building-a-coding-agent-from-scratch-course.git

This clones the course repo into the isolated Workspace (/workspace ≡ host .decode/sandbox) and drops you into the REPL, with bash and the file tools scoped to that clone.

To run the same demo on the remote rung instead, swap SANDBOX_MODE=docker for SANDBOX_MODE=modal — everything else is identical (Modal credentials must be configured).

2. Plan the feature — in plan mode

If you are decode reading this inside the Workspace, start here — step 1 is the human's launch command, already done; do NOT try to run decode yourself. Enter plan mode by calling enter_plan_mode with no arguments (it takes none — you present the plan later, to exit_plan_mode), explore the code read-only, then present a short plan before touching anything. Pick ONE feature — small, self-contained, provable in a single session:

A decode --version flag that prints the installed package version, plus its unit test.
One small pure helper (e.g. in tools/ or entities/) with a focused unit test.
A scoped docstring/README fix that resolves a real inaccuracy you found while exploring.

The plan should name the files to touch, the test that proves the feature, and nothing else. Exit plan mode (exit_plan_mode) once the human approves it.

3. Build it inside the Workspace

Implement the plan: edit, then run the suite inside the Workspace (uv run pytest -q / make unit-tests) until it is green. Keep the final green test output — it goes in the PR body. All of this happens on the sandboxed clone.

4. Get the branch onto the remote

The branch has to be on origin before a PR can point at it. There are two ways it gets there — know which one you are in:

Sandbox run (the intended demo, SANDBOX_MODE=docker/modal): just leave the REPL (exit, or /ship while idle). On exit, Hand-back secures the final Workspace onto a deterministic decode/<session-id> Session Branch, auto-commits any uncommitted model work, and git pushes it back to the course repo with your ambient host git credentials — every git command runs host-side, so no credential ever enters the sandbox. The friendly exit line names the branch it pushed. You do not push by hand in this path.
No sandbox, or your own feature branch: if decode is running straight on the host (no SANDBOX_MODE), there is no Hand-back — commit your work on a feature branch and push it yourself:
```
git push -u origin <your-branch>
```
Give this push a generous timeout (≥ 180s) and do not kill it. This repo installs a pre-push hook that runs the full unit suite (make unit-tests, ~2 minutes) before the push goes out — a short tool timeout will terminate it mid-run and look like a network hang. It is the gate doing its job; you already ran the suite green in step 3, so just let it finish. Do not reach for git push --no-verify to dodge it — that skips the format/lint/test gate the push is supposed to enforce. Only fall back to --no-verify if the human explicitly tells you to.

5. Open a draft PR against the course repo

Turn the pushed branch into a draft PR with the gh CLI — --head decode/<session-id> for the Hand-back path, or --head <your-branch> for the manual path. Build the body with a heredoc so newlines and backticks land literally (never hand-escape \n into --body):

gh pr create --draft \
  --repo decodingai-magazine/building-a-coding-agent-from-scratch-course \
  --head <branch> --title "<feature>" \
  --body "$(cat <<'EOF'
<what & why, 2-3 lines>

Test evidence:
```
<the green pytest summary line>
```

Built end-to-end inside a decode sandbox Workspace (SANDBOX_MODE=docker) and shipped by Hand-back.
EOF
)"

Report the feature you built, the branch it landed on, and the draft-PR URL.

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文件元数据

name: demo-5-sandbox-feature-pr
description: Demo skill for the meta "decode improves decode" flow — launch decode in a sandboxed clone of the course repo, plan and build one small feature inside the Workspace, let Hand-back push the Session Branch, then open a draft PR against the course repo.

查看原始文本

---
name: demo-5-sandbox-feature-pr
description: Demo skill for the meta "decode improves decode" flow — launch decode in a sandboxed clone of the course repo, plan and build one small feature inside the Workspace, let Hand-back push the Session Branch, then open a draft PR against the course repo.
---

The meta demo: **decode improves decode.** Run decode inside an isolated sandbox Workspace that is
a clone of this very course repo, plan and implement one small self-contained feature there, and
let the harness ship the work back as a branch you turn into a draft PR.

Nothing the model does touches your host checkout — the Workspace is an isolated clone, and the
branch only lands on your host through Hand-back (ADR-0012 §8).

## 1. Launch decode against a sandboxed clone of the course repo (human step)

Sandbox mode is selected by the **`SANDBOX_MODE` environment variable** — it is an env var, not a
command-line flag; the repo to clone into the Workspace is the **`--repo`** flag. Launch the local
docker rung (Docker must be running):

```
SANDBOX_MODE=docker decode --repo git@github.com:decodingai-magazine/building-a-coding-agent-from-scratch-course.git
```

This clones the course repo into the isolated Workspace (`/workspace` ≡ host `.decode/sandbox`)
and drops you into the REPL, with `bash` and the file tools scoped to that clone.

To run the same demo on the remote rung instead, swap `SANDBOX_MODE=docker` for
`SANDBOX_MODE=modal` — everything else is identical (Modal credentials must be configured).

## 2. Plan the feature — in plan mode

If you are decode reading this inside the Workspace, start here — step 1 is the human's launch
command, already done; do NOT try to run `decode` yourself. Enter **plan mode** by calling
`enter_plan_mode` with **no arguments** (it takes none — you present the plan later, to
`exit_plan_mode`), explore the code read-only, then present a short plan before touching anything.
Pick ONE feature — small, self-contained, provable in a single session:

- A `decode --version` flag that prints the installed package version, plus its unit test.
- One small pure helper (e.g. in `tools/` or `entities/`) with a focused unit test.
- A scoped docstring/README fix that resolves a real inaccuracy you found while exploring.

The plan should name the files to touch, the test that proves the feature, and nothing else.
Exit plan mode (`exit_plan_mode`) once the human approves it.

## 3. Build it inside the Workspace

Implement the plan: edit, then run the suite inside the Workspace (`uv run pytest -q` /
`make unit-tests`) until it is green. Keep the final green test output — it goes in the PR body.
All of this happens on the sandboxed clone.

## 4. Get the branch onto the remote

The branch has to be on `origin` before a PR can point at it. There are two ways it gets there —
know which one you are in:

- **Sandbox run (the intended demo, `SANDBOX_MODE=docker`/`modal`):** just leave the REPL (exit,
  or `/ship` while idle). On exit, **Hand-back** secures the final Workspace onto a deterministic
  `decode/<session-id>` **Session Branch**, auto-commits any uncommitted model work, and
  `git push`es it back to the course repo with your ambient host git credentials — every git
  command runs host-side, so no credential ever enters the sandbox. The friendly exit line names
  the branch it pushed. You do **not** push by hand in this path.

- **No sandbox, or your own feature branch:** if decode is running straight on the host (no
  `SANDBOX_MODE`), there is no Hand-back — commit your work on a feature branch and push it
  yourself:

  ```
  git push -u origin <your-branch>
  ```

  **Give this push a generous timeout (≥ 180s) and do not kill it.** This repo installs a
  **pre-push** hook that runs the full unit suite (`make unit-tests`, ~2 minutes) before the push
  goes out — a short tool timeout will terminate it mid-run and look like a network hang. It is
  the gate doing its job; you already ran the suite green in step 3, so just let it finish. Do
  **not** reach for `git push --no-verify` to dodge it — that skips the format/lint/test gate the
  push is supposed to enforce. Only fall back to `--no-verify` if the human explicitly tells you
  to.

## 5. Open a draft PR against the course repo

Turn the pushed branch into a draft PR with the `gh` CLI — `--head decode/<session-id>` for the
Hand-back path, or `--head <your-branch>` for the manual path. Build the body with a heredoc so
newlines and backticks land literally (never hand-escape `\n` into `--body`):

~~~
gh pr create --draft \
  --repo decodingai-magazine/building-a-coding-agent-from-scratch-course \
  --head <branch> --title "<feature>" \
  --body "$(cat <<'EOF'
<what & why, 2-3 lines>

Test evidence:
```
<the green pytest summary line>
```

Built end-to-end inside a decode sandbox Workspace (SANDBOX_MODE=docker) and shipped by Hand-back.
EOF
)"
~~~

Report the feature you built, the branch it landed on, and the draft-PR URL.

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许可证: Apache-2.0
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安装前审查: 避免自动安装

许可证: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: decodingai-magazine/building-a-coding-agent-from-scratch-course
许可证: Apache-2.0
版本: 1.0.0
最近 GitHub 推送: 2026年9月2日
目录更新于: 2026年9月3日
技能指令路径: .decode/skills/demo-5-sandbox-feature-pr/SKILL.md @ 6ee643fbfeb1

版本来自目录元数据，使用前请核实来源发布记录。

质量

69/100

有潜力

信任

64/100

仅限沙盒

审计

76/100

高风险

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

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    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use demo-5-sandbox-feature-pr in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 72/100 Strong shortlist",
      "Audit: 76/100 Risky",
      "Safety: 36/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "decodingai-magazine-demo-5-sandbox-feature-pr (demo-5-sandbox-feature-pr)",
      "install_command": "npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-5-sandbox-feature-pr",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "decodingai-magazine-demo-5-sandbox-feature-pr",
      "task": "Use demo-5-sandbox-feature-pr in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/decodingai-magazine-demo-5-sandbox-feature-pr",
    "api": "https://www.openagentskill.com/api/agent/skills/decodingai-magazine-demo-5-sandbox-feature-pr",
    "audit": "https://www.openagentskill.com/skills/decodingai-magazine-demo-5-sandbox-feature-pr/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=decodingai-magazine-demo-5-sandbox-feature-pr&task=Use%20demo-5-sandbox-feature-pr%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20demo-5-sandbox-feature-pr%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20demo-5-sandbox-feature-pr%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/decodingai-magazine-demo-5-sandbox-feature-pr/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/decodingai-magazine-demo-5-sandbox-feature-pr"
  }
}

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创作者: decodingai-magazine
来源: decodingai-magazine/building-a-coding-agent-from-scratch-course
收录方: OpenAgentSkill 社区索引

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