{"id":"andyzengmath-quantum-loop","name":"quantum-loop","homepage":null,"repo_url":"https://github.com/andyzengmath/quantum-loop","category":"devtools","subcategories":[],"tags":["agentic-coding","claude-code-plugin","autonomous-development","spec-driven","verification","worktrees","dag","tdd","review-gates","quantum.json"],"what_it_does":"Quantum-Loop is a Claude Code plugin plus scripts that implements a spec-driven autonomous coding loop: it turns a one-line feature description into structured PRD/spec artifacts, builds an execution dependency DAG, runs TDD/quality checks with two-stage review gates, enforces “fresh verification evidence” (Iron Law), and iterates with retry/failure logging until stories pass and then performs cross-story integration before committing changes.","use_cases":["Autonomously implementing a feature from a short description with structured PRD/spec and acceptance criteria","Reducing agent “hallucinated completion” by requiring fresh command outputs for verification","Managing complex multi-part changes with dependency ordering (DAG) and parallel worktrees","Enforcing code quality via stage-1 spec compliance and stage-2 code quality review gates","Running overnight/iterative coding sessions with persistent state (quantum.json) and retry logic"],"not_for":["Production systems needing a stable, externally hosted API/SaaS interface","Environments where agents are not allowed to modify repositories/commit changes","Use cases that require strict data residency/compliance guarantees not addressed by the tool itself","Teams that want lightweight prompting without heavy governance/review gates"],"best_when":"You want a disciplined, autonomous coding workflow that minimizes spec drift and “looks good” claims by using evidence-based verification and gated reviews—especially for multi-story changes with dependencies.","avoid_when":"You need a simple one-shot code generator or you can’t permit running multiple background agents/worktrees and committing to a local repo.","alternatives":["Ralph autonomous loop (foundation architecture mentioned in README)","Superpowers-style verification discipline (Iron Law concepts)","Standard CI-driven agent workflows (e.g., PR + tests + static analysis) without spec gating","Agent frameworks with DAG/task graphs and workspaces but without the same evidence-gating approach"],"af_score":53.0,"security_score":12.5,"reliability_score":31.2,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:37:11.266342+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Local plugin / CLI usage inside Claude Code"],"oauth":false,"scopes":false,"notes":"No external API authentication described. The main interaction is via Claude Code plugin commands and local scripts that run agents and git operations."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing not applicable/unspecified in provided README content; cost depends on Claude Code/model usage during autonomous runs."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":53.0,"security_score":12.5,"reliability_score":31.2,"mcp_server_quality":0.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":0.0,"auth_strength":10.0,"scope_granularity":0.0,"dependency_hygiene":20.0,"secret_handling":35.0,"security_notes":"Security analysis is limited by provided documentation. Strengths: evidence-based verification and explicit contract enforcement (e.g., shared secret key names) reduce logical drift; worktree isolation can limit cross-story contamination. Concerns: running autonomous agents that modify and commit code increases risk of accidental or malicious changes depending on repository permissions; README does not detail how secrets are protected from logging beyond general mention of contracts (e.g., secret key names). No explicit TLS/auth model is applicable since it is local plugin/CLI behavior; dependency hygiene and CVE status are not verifiable from the provided content.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":20.0,"error_recovery":75.0,"idempotency_support":"false","idempotency_notes":"README emphasizes retries and story status tracking, but does not explicitly claim idempotent operations for repeated executions; it does describe worktree isolation and committing per story, which can be partially repeatable via retry waves.","pagination_style":"none","retry_guidance_documented":true,"known_agent_gotchas":["Parallel worktrees may still cause conflicts if story file-conflict filtering misses edge cases; merges/retries depend on the orchestrator’s filtering and git behavior.","Agents must commit before signaling; if an agent crashes or times out, uncommitted work in its worktree can be lost per README.","Python isolation is described as PYTHONPATH injection to avoid editable-install races; if a project relies on editable installs, behavior may differ.","Parallel agents share a single Python interpreter; concurrency-sensitive test/build steps could still interfere depending on project tooling.","Timeout/stale detection defaults (e.g., 15 min execution, 20 min staleThreshold) may cause extra retries for slow CI-like tasks."]}}