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lean-formalization-intake
Use when deciding whether a research claim should enter the optional Lean formalization lane.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use when deciding whether a research claim should enter the optional Lean formalization lane.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Single-agent paper review workflow.
Comprehensive guide and reference for the Antigravity Customization System. Use to explain how customizations work, their loading priority, discovery mechanisms, and to guide the creation of skills, rules, plugins, hooks, and MCP servers.
Provides a comprehensive guide, quick reference, and sitemap for Google Antigravity (AGY), including the Antigravity CLI (agy), Antigravity 2.0, Antigravity IDE, Python SDK, slash commands, keybindings, and customizations (skills, rules, MCP, sidecars). Activate this skill when the user asks questions about how to use, configure, or customize Antigravity, AGY, the agy CLI, the Antigravity IDE, or Antigravity 2.0.
Guidelines for interacting with GitHub and request permissions from the user when commands fail due to restrictions in the agent environment.
ALWAYS use this skill when the user asks to send, get, retrieve, find, share, add, or search for a paper. This skill manages the user's Zotero library with 10,000+ papers and can retrieve PDFs, create share links, add new papers, and search. Prefer this over getscipapers for any request involving sending/getting/finding papers.
Use when the user asks to send, get, retrieve, find, share, add, or search for a paper. This is the live OpenClaw Zotero workflow adapted for Codex and should take priority over external paper retrieval.
| name | lean-formalization-intake |
| description | Use when deciding whether a research claim should enter the optional Lean formalization lane. |
This skill is installed as an OpenCode-native SKILL.md. For runtime-backed
helpers, prefer the shared ai-agents-skills runtime root and the
AAS_RUNTIME_ROOT override instead of assuming a Codex-specific runtime
path.
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" }
& "$runtime\run_skill.bat" "skills/lean-formalization-intake/run_lean_formalization_intake.bat" doctor
PowerShell runner target:
& "$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 "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-formalization-intake/run_lean_formalization_intake.sh doctor
Run non-installing version/toolchain probes when you need reproducibility metadata:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-formalization-intake/run_lean_formalization_intake.sh doctor --probe
Assess a claim:
bash "$AAS_RUNTIME_ROOT/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.