Opengauss

OpenGauss (Math, Inc.)

Windows Runtime Commands

On native Windows, use the managed Windows runner and the native runtime command target. Set $runtime to the installed runtime root. Multi-agent installs usually use %LOCALAPPDATA%\ai-agents-skills\runtime. Then run:

$runtime = if ($env:AAS_RUNTIME_ROOT) { $env:AAS_RUNTIME_ROOT } else { "$env:LOCALAPPDATA\ai-agents-skills\runtime" }
& "$runtime\run_skill.ps1" "skills/opengauss/run_opengauss.ps1" doctor
& "$runtime\run_skill.ps1" "skills/opengauss/run_opengauss.ps1" doctor

POSIX examples below use run_skill.sh and .sh command targets; use the Windows command target above on native Windows.

What this skill is

Optional inert helper for the formal lane around OpenGauss (GitHub): a project-scoped Lean workflow orchestrator (gauss) that can run prove/draft/formalize workflows via claude-code or codex backends.

This skill:

• reports local readiness (doctor) without executing gauss, lake, or backends
• emits manual install / Morph / WSL snippets (config-snippet) with placeholders only
• provides offline smoke (smoke / selftest)

This skill does not:

• install OpenGauss, Lean, Mathlib, or backends
• start gauss, tmux sessions, or swarms
• write ~/.gauss config or read secret values
• promote research claims to “proved” from a Gauss job

Live install is manual-native. Unattended auto-launch is out of scope until a headless_qualified feasibility spike (see plan Phase 1).

Runtime Helper

bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" \
  skills/opengauss/run_opengauss.sh doctor

bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" \
  skills/opengauss/run_opengauss.sh config-snippet

bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" \
  skills/opengauss/run_opengauss.sh smoke

Live readiness / prove-path smoke (opt-in)

Offline CI stays on smoke / doctor. Live coverage is explicit:

# 1) Tool/PATH/project readiness (no /prove, no claim-support)
bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" \
  skills/opengauss/run_opengauss.sh live-preflight \
  --project-root /path/to/lean-project \
  --run-gauss-doctor

# 2) Backend ping + optional short gauss chat probe (LLM; costs quota)
# NEVER set this in default CI.
export AAS_OPENGAUSS_LIVE_PROVE=1
bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" \
  skills/opengauss/run_opengauss.sh live-prove-smoke \
  --project-root /path/to/lean-project \
  --backend claude-code \
  --timeout-sec 180
# optional: --attempt-prove

Success of live-prove-smoke means the backend path responded, not that a theorem is proved. Record as opengauss_run provenance only; still require Lake + strict Lean gate for formal claims.

PATH must include ~/.local/bin (and preferably ~/.npm-global/bin) so OpenGauss can find claude.

When to use in research

Pipeline (after live invoke exists):

lean-formalization-intake (proceed)
  → lean-explore-mcp (reuse first)
  → formal-skeleton-helper
  → OpenGauss /prove or /draft (opengauss_run provenance)
  → lean-strict-verification-gate
  → lead/human statement-equivalence for claim support

Evidence policy

• Record harness output as opengauss_run (provenance only).
• Never treat Gauss success as formal_check or claim-support by itself.
• Local formal status uses lean-strict-verification-gate and existing deep-research claim-support statuses.
• Forbidden language: “OpenGauss proved …”, “fully formalized” with open sorry/axioms, equating job OK with informal claim C.

See references/evidence-policy.md.

Platform notes

Details: references/local-install.md, references/windows-wsl.md, references/morph-cloud.md.

Commands (MVP documented workflows)

After a real OpenGauss install (not this helper):

• Prefer /prove and /draft for guided work
• Gate /swarm, unbounded /autoprove, /autoformalize behind budgets and later auto policy
• Always run strict verification after harvest

Supporting references

Open only when needed:

• references/evidence-policy.md
• references/local-install.md
• references/windows-wsl.md
• references/morph-cloud.md

Manual live workflows (Phase 1)

After installing OpenGauss yourself (see references/local-install.md):

1. Register a Lake project (gauss /project init or existing .gauss/project.yaml).
2. Prefer /prove and /draft only for MVP.
3. Harvest Lean paths, then run lean-strict-verification-gate.
4. Record opengauss_run evidence via the helper harvest shape or handoff-gate JSON — never claim-support alone.

Handoff helpers (offline JSON):

bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" skills/opengauss/run_opengauss.sh \
  handoff-intake --claim-id C1 --informal-statement-ref claims/C1.md --project-root /path/to/lean
bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" skills/opengauss/run_opengauss.sh \
  handoff-gate --run-id manual-1 --project-root /path/to/lean --workflow prove --gauss-exit success

Feasibility spike (Phase 1)

bash "${AAS_RUNTIME_ROOT:-$HOME/.local/share/ai-agents-skills/runtime}/run_skill.sh" skills/opengauss/run_opengauss.sh \
  spike --work-dir /tmp/og-spike

Outcomes: headless_qualified | interactive_only | failed.
Default probe is non-executing and will not invent headless success. Operator-dated headless evidence is required before auto mode.

Adapter verbs (Phase 3 — fail-closed)

preflight | launch | status | harvest | kill

• preflight requires spike_report.json with outcome=headless_qualified and host headroom.
• launch refuses to spawn gauss until a documented headless driver exists (even if spike is forced).
• Use interactive Gauss manually; use harvest to emit provenance-only opengauss_run evidence stubs.

Caps for future auto mode: agent-immutable standing auth; wall/concurrency/attempts; USD advisory unless measurable; host load re-check.