القائمة
Use when preparing optional LeanExplore MCP setup for Lean declaration search and formalization support.
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استنادا إلى تصنيف SOC المهني
| name | lean-explore-mcp |
| description | Use when preparing optional LeanExplore MCP setup for Lean declaration search and formalization support. |
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" }
& "$runtime\run_skill.bat" "skills/lean-explore-mcp/run_lean_explore_mcp.bat" doctor
PowerShell runner target:
& "$runtime\run_skill.ps1" "skills/lean-explore-mcp/run_lean_explore_mcp.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 only for explicit optional LeanExplore MCP setup. It never installs packages, starts an MCP server, writes MCP/client config, stores credentials, downloads local data, or calls LeanExplore services. It reports local readiness and emits manual configuration snippets with placeholders.
Check local readiness without running lean-explore:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-explore-mcp/run_lean_explore_mcp.sh doctor
Emit a manual MCP config snippet:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-explore-mcp/run_lean_explore_mcp.sh config-snippet --backend api
Use --backend local only after local data has been prepared outside this repo with LeanExplore's own tooling.
Run offline smoke:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/lean-explore-mcp/run_lean_explore_mcp.sh smoke
The emitted local stdio snippet uses command lean-explore and args ["mcp", "serve", "--backend", "api"] or ["mcp", "serve", "--backend", "local"]. API mode uses placeholder LEANEXPLORE_API_KEY; local mode assumes a user-managed LeanExplore cache such as ~/.lean_explore/cache/.
LeanExplore output is Lean declaration retrieval evidence. Record it as lean_declaration_search, never as formal_check. It cannot set local lean_check_status, satisfy placeholder or trust-base scans, replace statement-equivalence review, or promote formal support without local Lean/project evidence.
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.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.