decodingai-magazine
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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.
Übersicht
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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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.
Dateimetadaten
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.
Originaltext anzeigen
--- 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.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- Apache-2.0
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: 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
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- decodingai-magazine/building-a-coding-agent-from-scratch-course
- Lizenz
- Apache-2.0
- Version
- 1.0.0
- Letzter GitHub-Push
- 2. Sept. 2026
- Verzeichnis aktualisiert
- 3. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
69/100
Vielversprechend
Vertrauen
64/100
Nur Sandbox
Audit
76/100
Riskant
- 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
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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}Für Ersteller
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