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Use when preparing optional AxiomMath AXLE MCP setup for manual formal-proof assistance.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
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 before delivering work that incorporated content the agent did not author — fetched web pages, PDFs, retrieved or library documents, tool or subagent output — or that performs an outward-facing or irreversible action. Maps trust boundaries and runs an abuse-case and prompt-injection check, delegating to a fresh-context security reviewer.
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 a clarity-only pass that must not change behavior — simplifying, renaming, de-duplicating, or restructuring code, configs, research scripts, or prose. Gates on understanding the target before touching it and re-verifies after each change so behavior stays fixed.
Use in-flight, the moment you are about to let a non-trivial decision stand — a branching or control-flow change, crossing a module/service/agent boundary, an assertion the type system or proof checker cannot see, a high-stakes or irreversible action, or an analytical step a conclusion rests on. Materializes a fresh-context reviewer biased to disprove, while course-correction is still cheap.
| 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. For Codex-only installs the runtime is usually %USERPROFILE%\.codex\runtime; for multi-agent installs it is usually %LOCALAPPDATA%\ai-agents-skills\runtime. Set $runtime to the installed runtime root, then run:
$runtime = if ($env:AAS_RUNTIME_ROOT) { $env:AAS_RUNTIME_ROOT } elseif (Test-Path "$env:USERPROFILE\.codex\runtime") { "$env:USERPROFILE\.codex\runtime" } else { "$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 ~/.codex/runtime/run_skill.sh \
skills/axiom-axle-mcp/run_axiom_axle_mcp.sh doctor
Emit a manual MCP config snippet:
bash ~/.codex/runtime/run_skill.sh \
skills/axiom-axle-mcp/run_axiom_axle_mcp.sh config-snippet
Run offline smoke:
bash ~/.codex/runtime/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.