一键导入
lean-strict-verification-gate
Use when checking whether a Lean artifact can safely support a research claim.
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。
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Use when checking whether a Lean artifact can safely support a research claim.
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。
基于 SOC 职业分类
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-strict-verification-gate |
| description | Use when checking whether a Lean artifact can safely support a research claim. |
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" }
& "$runtime\run_skill.bat" "skills/lean-strict-verification-gate/run_lean_strict_verification_gate.bat" doctor
PowerShell runner target:
& "$runtime\run_skill.ps1" "skills/lean-strict-verification-gate/run_lean_strict_verification_gate.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 to prevent overclaiming from generated Lean, skeletons, partial formalizations, or checker output. It separates:
Check the local tool status:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-strict-verification-gate/run_lean_strict_verification_gate.sh doctor
Run non-installing version/toolchain probes when you need reproducibility metadata:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-strict-verification-gate/run_lean_strict_verification_gate.sh doctor --probe
Scan a Lean file without running Lean:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-strict-verification-gate/run_lean_strict_verification_gate.sh scan \
--input formal/final/proof.lean \
--artifact-stage final_candidate
Optionally typecheck only when Lean is already installed:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-strict-verification-gate/run_lean_strict_verification_gate.sh verify \
--input formal/final/proof.lean \
--artifact-stage final_candidate \
--typecheck
For a user-managed Lake workspace, use the explicit Lake environment runner.
The helper requires a project root containing lakefile.lean or
lakefile.toml, records the project context, and still runs the scanner before
typechecking:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-strict-verification-gate/run_lean_strict_verification_gate.sh verify \
--input formal/final/proof.lean \
--artifact-stage final_candidate \
--typecheck \
--runner lake-env-lean \
--project-root /path/to/lean/project
Set AAS_LEAN or AAS_LAKE to select a specific already-installed local
executable. Invalid explicit paths fail closed instead of silently using a
different tool.
The helper never installs Lean, Lake, mathlib, npm packages, Python packages, credentials, services, or MCP servers. Missing Lean reports tool_unavailable.
Before any typecheck, the scanner blocks active:
#evalIO.Processrun_cmdunsafeinitialize@[extern]--allow-importFinal or claim-supporting artifacts also block on active sorry, admit, unsanctioned axiom, unknown trust base, or unreviewed generated proof text. Stubs may contain placeholders only when explicitly marked artifact_stage = stub.
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.