PREFERRED way to change code in a REAL repository: fix a GitHub issue, fix a bug, add/implement a function or feature, or make any edit to a project the user names by a filesystem path (e.g. /tmp/foo, ~/code/bar) or a git URL. Clones the repo, runs an OpenSquilla agent on the host to make the change on a task branch, then independently VERIFIES it with a red→green→regression test loop and reports a structured result. STRONGLY prefer this over hand-editing the user's files yourself in this session: editing files directly skips the isolation and the runner-verified red→green proof, so it is not equivalent. Use it whenever the request names a real on-disk repo/path or a repo URL and asks to fix/add/implement/change code. Examples: 'fix issue 412 in github.com/acme/widgets', '给 /tmp/calc 加个 average 函数', '帮我改一下 ~/proj 里的 X', 'implement CSV export in my project'. Docker-free host execution; treat the target repo as TRUSTED. GitHub issue mode needs the `gh` CLI. For self-contained, TESTABLE code from scratch when NO repo is named (e.g. 'write a function that maps A-Z to pitches'), use `--verification-mode scratch` with no --repo: it scaffolds a throwaway project, writes the code plus a test, and verifies it green. Only truly trivial one-liners or conceptual/non-testable questions are answered inline.
Solve a real-repository coding task end to end: clone the repo to a disposable working directory, run an OpenSquilla agent to make the change on a task branch, then independently verify it with a red→green→regression loop. Host mode (no Docker) in v1.
When the user asks to fix/add/implement/change code in a repository they
name by path or URL, route it through opensquilla code-task solve — even
if the change looks small enough to do by hand. Editing the files yourself
in this session is not equivalent: it skips the disposable clone, the
task branch, and (most importantly) the runner-verified red→green→regression
proof, so neither you nor the user gets evidence the change actually works.
Answer inline (no code-task) ONLY for truly trivial one-liners, pseudocode, or
conceptual / non-deterministic questions. For self-contained TESTABLE code from
scratch with no repo named, use code-task solve --task "..." --verification-mode scratch (no --repo): it writes the code plus a test and verifies it green-only
(no red/regression -- there is nothing pre-existing to regress). When a real repo
is named, prefer code-task red-green.
The user speaks naturally ("fix issue 412 in github.com/acme/widgets", "add CSV BOM support to my project at ~/code/foo"). Map that to the command:
opensquilla code-task solve --repo <url-or-path> ( --issue N | --task "<text>" | --task-file <path> ) [--yes]Invocation: do NOT assume a bare
opensquilla(or barepython) is on PATH — the gateway commonly runs from an absolute interpreter path. When coding mode is active it injects the EXACT, resolved, PATH-independent command: use ONLY that. Otherwise invoke via an ABSOLUTE interpreter, e.g./abs/path/python -P -m opensquilla.cli.main code-task solve .... Neverpip installOpenSquilla or run an installer to "get" the command; if it cannot be run, stop and report the environment is broken.
--issue N (needs gh; see below).--task "<their request>".--task-file <path>.--repo for changes to an EXISTING repo. Omit it for
--verification-mode scratch (from-scratch code) and for a from-scratch
--verification-mode build (a brand-new app) — both scaffold their own repo.
If the user is already in a local checkout, use that path; otherwise the URL.--yes to skip the interactive trusted-host confirmation (you are
acting on the user's behalf), but only after the safety check below.--verification-mode build) has no acceptance
test. Decide by whether you know WHAT THE APP SHOULD DO, not just its kind.
If the request is only a broad app type/goal with no concrete features,
target user, or scope (e.g. "make me an English-learning app", "a drawing
app"), ask 1-2 focused questions (core features/screens and who it's for),
then STOP — do not run code-task until answered. If it already names
concrete features, scope, or target users, do NOT ask — build it with
sensible defaults and state your assumptions. Never ask about
platform/framework/styling. At most 2 questions; never interrogate.gh--issue shells out to the GitHub CLI (gh). If gh is missing or not
authenticated, tell the user to gh auth login, or fall back: have them
paste the issue text and use --task / --task-file instead. The issue
body AND comments are pulled in (comments often hold the repro steps).
code-task clones the --repo source into an isolated run directory and does
all its work there. The source repo stays empty until a run finishes and
VERIFIES, at which point (build mode, local source) the change is committed
back. Therefore:
process(action="wait") on the
background session. Do NOT kill it, do NOT "clean and retry", and do NOT
launch the same task again while one is still running.<run_dir>/status.json (phase = preparing → agent_running → collecting_change
→ verifying → completed). Watch that if you want progress.state and
build.installer_path (which points into the run dir, not the source).--json prints a result object; key fields:
state: verified (acceptance test went red→green, no regressions),
already_satisfied (the behavior already held on the base commit),
not_testable (work done but not expressible as a test),
environment_blocked (could not build/test the repo),
invalid_acceptance_test (agent produced no valid verification manifest),
failed (acceptance not green or a regression appeared).branch, commits, files_changed, diffstat, patch_path.acceptance: each test with before→after (e.g. fail→pass).regression: existing-suite result and new_failures.assumptions: surface these to the user — a wrong assumption means a
wrong fix.usage: cost / tokens (aggregated across internal retry attempts).attempts / max_attempts / retry_exhausted: code-task RETRIES internally
when its own verification fails -- it re-runs the agent on the SAME prepared
repo (no re-clone, no re-explore) with the concrete failure fed back, up to
max_attempts. A returned result is FINAL across those internal attempts.relaunch_recommended is always false and final_failure_reason explains a
failure: do NOT re-launch the same task yourself on a failed result -- the
internal retries are already exhausted. Surface the failure to the user.state, what changed (diffstat), the acceptance red→green
evidence, any assumptions, the cost, and where the branch/diff lives.failed / environment_blocked: quote error / final_failure_reason
and point at the agent_stdout.log. Do NOT relaunch the same task yourself --
code-task already retried internally (see retry_exhausted).--in-place). For untrusted
repositories, a Docker-isolated backend is planned but not in v1.code-task solve defaults to --verification-mode red-green: the agent writes acceptance tests, the runner proves red on the base and green on the change, then runs regression.
For building an app or UI from scratch (e.g. an Electron + Vite + React desktop app) there is no red->green test loop. Use --verification-mode build: the runner owns a fixed checklist (npm ci -> npm run build -> npx electron-builder for the HOST OS, with the target pinned — --mac dmg -> .dmg, --win nsis -> .exe, --linux AppImage -> .AppImage) and state=verified means the app actually builds and packages into an installer. Each OS only builds its own installer, so run on each OS (or a CI matrix) to collect all three. The result carries verification_kind=build and build.installer_path(s). Preview/launch is intentionally out of scope (no GUI is run).
For self-contained, testable code when the user has not named a repo, use
--verification-mode scratch with --task or --task-file and no --repo.
The runner creates an empty git repo, asks the agent to write code plus pytest
coverage, and independently reruns the declared acceptance command. This mode is
green-only and returns verification_kind=scratch.
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