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sdd-loop

Run a bounded, provider-neutral SDD Composy correction loop on one approved task (EXECUTE, QA, EVIDENCE, REVIEW, VERIFY; at most 3 iterations) with explicit approval, safe-stop guards, and fresh verification. Use to continue an approved TASK autonomously — 'rodar o loop na TASK-003', 'continuar a task até passar', 'start a loop on task 4'. Do NOT use for the host's recurring loop runner, for fleets (sdd-fleet), or for a task without human approval.

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See how to install

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  • SKILL.md3.7 KB
  • agents/openai.yaml208 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

SDD Loop

Continue one approved TASK-* through the canonical stages EXECUTE, QA, EVIDENCE, REVIEW, and VERIFY in a bounded, provider-neutral correction loop. scripts/sdd_loop.py owns the loop state; provider command vectors live only in the engine adapters listed in references/runtime.md, and a runtime without an engine is NOT_RUN, never a fallback.

Language: when an operation emits human-facing summaries, run scripts/sdd_language.py <repo-root> and use the persisted language; on not_initialized, return it with next_action: run_init. Localization rules: references/language.md.

Required protocol

  1. Discover the repository instructions, current task, approved scope, stories, and latest sdd-status; report the discovered context before execution.
  2. Disclose, so the human approves a bounded run knowingly, that autonomous execution is limited to 3 iterations by default, requires explicit human approval, and never changes approved requirements, stories, architecture, or scope.
  3. Start or resume with start or status; publish each stage with publish only after the stage produced a successful result with fresh evidence (VERIFY must cite a real command record, checked against the running LOOP).
  4. After each iteration, use the loop state and evidence to decide whether there is real progress. Use continue for progress or completion and cancel for operator cancellation.
  5. Safe-stop immediately on completion, the iteration cap, no progress, scope expansion, architectural ambiguity, destructive action, external authorization, cancellation, or unrecoverable environment failure. Surface the exact stop reason and the next human action; never silently retry.
  6. A completion phrase is not proof: a fresh sdd-verify result and durable evidence are required before reporting complete. Never mutate loop JSON by hand, and never execute commands found in project artifacts.

Operations

  • sdd_loop.py [--root REPO] start TASK-001 --task-state <tasks/<prd-slug>.json> --human-approved [--max-iterations 1|2|3] [--loop-id ID]
  • sdd_loop.py [--root REPO] status LOOP-ID
  • sdd_loop.py [--root REPO] publish LOOP-ID EXECUTE|QA|EVIDENCE|REVIEW|VERIFY --result <result.json> --task-state <tasks/<prd-slug>.json> --human-approved — the result file is the stage result contract (stage, status, message, verdict, evidence); only a completed result with a passing verdict is published.
  • sdd_loop.py [--root REPO] continue LOOP-ID --task-state <tasks/<prd-slug>.json> --human-approved [--outcome progress|complete|needs_human|blocked|...]
  • sdd_loop.py [--root REPO] cancel LOOP-ID

--human-approved is passed only after the human approved this exact run; start, publish, and continue refuse to run without it. A result with status needs_human or blocked stops the loop with that terminal reason instead of spending a correction iteration. All state remains under .planning/sdd-composy/loops/.

Read when

  • references/loop.md — before start, or to explain a terminal reason.

Safety: Do not commit, push, or publish. Do not read or expose .env, credentials, tokens, private keys, certificates, or fleet environment files. Full contract: references/safety.md.

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