用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/hoanganhduc/openclaw-bot --skill lean-formalization-intake命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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| name | lean-formalization-intake |
| description | Use when deciding whether a research claim should enter the optional Lean formalization lane. |
On native Windows, use the managed Windows runner and the native runtime command target. For Codex-only installs the runtime is usually %USERPROFILE%\.codex\runtime; for multi-agent installs it is usually %LOCALAPPDATA%\ai-agents-skills\runtime. Set $runtime to the installed runtime root, then run:
$runtime = if ($env:AAS_RUNTIME_ROOT) { $env:AAS_RUNTIME_ROOT } elseif (Test-Path "$env:USERPROFILE\.codex\runtime") { "$env:USERPROFILE\.codex\runtime" } else { "$env:LOCALAPPDATA\ai-agents-skills\runtime" }
& "$runtime\run_skill.bat" "skills/lean-formalization-intake/run_lean_formalization_intake.bat" doctor
PowerShell runner target:
& "$runtime\run_skill.ps1" "skills/lean-formalization-intake/run_lean_formalization_intake.ps1" doctor
POSIX examples below use run_skill.sh and .sh command targets; use the Windows command target above on native Windows.
Use this skill before spending effort on Lean formalization. It decides whether a research claim is suitable for the optional formal lane and records a conservative decision:
proceed: definitions and scope look suitable enough to try formalizationdefer: formalization is relevant but blocked by definitions, toolchain, library support, semantic alignment, or budgetnot_applicable: Lean is not useful for this claim or outside scopeblocked: formal support was required but cannot proceed without clarification or missing toolingdefer, not_applicable, and missing Lean are not failed theorem evidence. They are only formal-lane status.
Check the local tool status:
bash ~/.codex/runtime/run_skill.sh \
skills/lean-formalization-intake/run_lean_formalization_intake.sh doctor
Run non-installing version/toolchain probes when you need reproducibility metadata:
bash ~/.codex/runtime/run_skill.sh \
skills/lean-formalization-intake/run_lean_formalization_intake.sh doctor --probe
Assess a claim:
bash ~/.codex/runtime/run_skill.sh \
skills/lean-formalization-intake/run_lean_formalization_intake.sh assess \
--claim "Every finite tree has a leaf" \
--claim-id C1 \
--output formal/intake-C1.json
Set AAS_LEAN or AAS_LAKE to select a specific already-installed local
executable. Invalid explicit paths are reported as unavailable instead of being
masked by another tool on PATH.
The helper never installs Lean, Lake, mathlib, Python packages, Node packages, credentials, services, or MCP servers.
The runtime emits JSON with:
formalization_decisionreasonrequired_definitionsexpected_costrecommended_next_stepformal_check_requirementtool_statuslimitationsThe result can be copied into a v2 evidence.jsonl row or attached as a run artifact, but it does not itself prove the research claim.
When this skill is involved, consider these workflow templates (install via
the workflow-templates artifact profile, or --with-deps to pull backing skills):
informal-to-lean-formalization-runbook -- Local-first intake mapping an informal proof to Lean declarations with a scanner-first verification gate separating typecheck status from claim support.