decodingai-magazine
Registry 색인
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.
개요
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.
전체 설명 읽기
소스 문서이며 이 웹사이트의 실행 지침이 아닙니다. 명령 실행 전에 권한을 확인하세요.
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 --versionflag that prints the installed package version, plus its unit test. - One small pure helper (e.g. in
tools/orentities/) 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/shipwhile idle). On exit, Hand-back secures the final Workspace onto a deterministicdecode/<session-id>Session Branch, auto-commits any uncommitted model work, andgit 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 forgit push --no-verifyto dodge it — that skips the format/lint/test gate the push is supposed to enforce. Only fall back to--no-verifyif 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.
파일 메타데이터
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.
원문 보기
--- 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.
소스 확인
가격 및 실행 비용
- Skill 받기
- 가격 미확인
- 실행
- 실행 요구 사항이 확인되지 않았습니다. 제공처에서 Agent, API 및 서비스 요금을 확인하세요.
- 라이선스
- Apache-2.0
- 가격 미확인
- 가격을 아직 확인하지 못했습니다. 기존 소스 및 설치 링크는 계속 이용할 수 있습니다.
무료 다운로드가 무료 실행을 뜻하지 않습니다. 가격은 안전 등급이 아닙니다. 가격 정보 제출 →
스킬 소스 기록됨
지침 경로가 기록되어 있습니다. 실행 테스트, 안전 보장 또는 호환성 인증은 아닙니다.
설치 전 검토: 자동 설치 피하기
라이선스: 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
도구 목록은 메타데이터이며 테스트된 호환성이 아닙니다. 프롬프트는 제안입니다.
작은 작업부터 시작
- 1소스를 읽고 입력, 출력, 의존성 및 권한을 확인하세요.
- 2Agent에게 계획을 요청하고 설정과 비용을 승인한 뒤 격리 환경에서 테스트하세요.
- 3출력과 변경 파일을 확인하고 실제 실행 결과만 보고하세요. 재현을 위해 소스 버전을 보관하세요.
소스에서 의존성, API 키 및 외부 서비스 비용을 확인하세요. 공개 저장소라고 모든 서비스가 무료는 아닙니다.
출처 및 사용 안내
등록됨
메타데이터와 검토 신호는 참고용입니다. 인기, 소스 발견, 실행 성공은 서로 다른 사실입니다.
- 소스 저장소
- decodingai-magazine/building-a-coding-agent-from-scratch-course
- 라이선스
- Apache-2.0
- 버전
- 1.0.0
- 최근 GitHub 푸시
- 2026년 9월 2일
- 목록 업데이트
- 2026년 9월 3일
목록에 보고된 버전입니다. 소스 릴리스를 확인하세요.
품질
69/100
유망
신뢰
64/100
샌드박스 전용
감사
76/100
위험
- 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
- —
- 결과
- —
복사는 설치가 아닙니다. 설치 수는 성공 보고에 기반하며 전체 품질을 보장하지 않습니다.
Agent 연결
Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.
추가 정보
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"notice": "Publication, static checks, AI review, and creator verification are independent facts. None guarantees runtime safety."
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"maintenance": "1mo since push",
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},
"alternative_skills": [],
"do_not_use_when": [
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"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"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."
],
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"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"
],
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"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"
}
}제작자 도구
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