القائمة
Use when preparing optional AxiomMath AXLE MCP setup for manual formal-proof assistance.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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 | axiom-axle-mcp |
| description | Use when preparing optional AxiomMath AXLE MCP setup for manual formal-proof assistance. |
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" }
& "$runtime\run_skill.bat" "skills/axiom-axle-mcp/run_axiom_axle_mcp.bat" doctor
PowerShell runner target:
& "$runtime\run_skill.ps1" "skills/axiom-axle-mcp/run_axiom_axle_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 AXLE MCP setup. It never installs packages, starts an MCP server, writes MCP/client config, stores credentials, or calls AxiomMath services. It reports local readiness and emits manual configuration snippets with placeholders.
Check local readiness without running uvx:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/axiom-axle-mcp/run_axiom_axle_mcp.sh doctor
Emit a manual MCP config snippet:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/axiom-axle-mcp/run_axiom_axle_mcp.sh config-snippet
Run offline smoke:
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
skills/axiom-axle-mcp/run_axiom_axle_mcp.sh smoke
The emitted local stdio snippet uses command uvx and args ["--from", "axiom-axle-mcp==0.3.3", "axle-mcp-server"] with placeholder <AXLE_API_KEY>. The hosted URL https://mcp.axiommath.ai/mcp is manual setup only.
AXLE output is remote supplemental evidence. Record it as axle_remote_check, 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.