dcode-runner

Dcode Runner

Execute the caller's scoped prompt through the local CLI. Shared roles, envelope keys, and result handling live in shared/references/runner-common.md. Preserve seat fidelity: name the provider that actually answered, and report unavailable or unverified seats honestly.

Invocation

Set SKILL_DIR to this loaded skill directory in the same shell call:

SKILL_DIR="<absolute path of this skill directory>";
python3 "$SKILL_DIR/scripts/run_dcode.py" "<scoped prompt>" --json

An approved workflow supplies the exact model, effort, role, tool mode, and receipt policy. Pass those approved options and --disable-fallback; this basic example does not authorize a different route.

Runtime boundaries

• Use only for an explicitly requested manual dcode run. This wrapper cannot bind an exact model and cannot be an approved implementation or review route.
• The user's existing model and credentials stay configured in dcode. --model is a metadata label and is not forwarded.
• Permission checks stay enabled unless an authorized call passes --auto-approve. Prompt and file context may be sent to the configured provider.
• Analysis roles use a read-only prompt overlay, not an enforced sandbox. Isolate the workspace for untrusted input; do not treat --restrict-tools as a security boundary.
• Direct calls have a labelled fallback chain when the CLI is missing. Do not attribute a fallback answer to dcode. Use --disable-fallback when the caller requires that seat.
• Native output has no session ID. Resuming the latest session uses shared state and must not run concurrently against the same home.

Load by need

• references/command-reference.md: flags, examples, native mappings, and return codes when composing a non-basic invocation.
• references/runtime-reference.md: authentication, fallback conditions, configuration, and extended envelope fields when configuring a route or interpreting its result.
• references/continuation.md: only when resuming a session or managing a background job.

Result

Read agent_message and the wrapper envelope. Check success, serving-model receipt, effective runner/provider, and any fallback or malformed-output status. A completed process alone does not prove the requested task or model was used. Report touched files when the caller authorized edits.

Integration

agents/openai.yaml exposes this skill as a native Codex-app subagent seat; do not remove it.