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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
Use when the user asks for a multi-agent discussion, panel review, multi-agent review, or multi-agent research session with role selection, round control, and template-based orchestration.
Use when drafting, validating, or normalizing bounded cross-agent task/result packets for parent-controlled handoffs. This is a packet-contract skill, not a runtime delegation broker.
Send email over SMTP using only the Python standard library, with plain-text and HTML bodies, file attachments, cc/bcc, reply-to, a dry-run preview, connection verification, and redacted config inspection.
Runtime helper for autonomous-research-loop ledgers. Use to initialize, append, validate, inspect, or smoke-test autonomous research loop state files without network, package installation, provider CLI calls, or live agent spawning.
Run bounded autonomous research iterations with evidence gates, recovery ledgers, and optional cross-agent handoffs. Use when the user asks to continue research autonomously, run a research loop, integrate autonomous agent loops, or keep improving a research workflow without repeated prompts.
Use for external DOI/ISBN/title resolution, manifest creation from pasted text, and paper retrieval after the local library-first workflow does not satisfy the request or the user explicitly opts out of library use.
| name | lean-strict-verification-gate |
| description | Use when checking whether a Lean artifact can safely support a research claim. |
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.