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Internal helper for meta-stack-trace-investigator. Use when a Python traceback needs Python-specific root-cause checks, pytest reproducer guidance, and defensive patch targets.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | stack-trace-python-probe |
| description | Internal helper for meta-stack-trace-investigator. Use when a Python traceback needs Python-specific root-cause checks, pytest reproducer guidance, and defensive patch targets. |
| user-invocable | false |
| disable-model-invocation | true |
| provenance | {"origin":"agentos-original","license":"MIT"} |
Return only:
LANGUAGE_PROBE: python
CHECKS:
- <exception contract or missing-key/None-handling check>
- <import/module/package boundary check if relevant>
REPRODUCER:
- <minimal pytest or python -c reproduction command/snippet>
PATCH_TARGETS:
- <guard clause / TypedDict / pydantic/schema validation / exception wrapping target>
VERIFY:
- <targeted pytest command or python syntax/import check>
Prefer pytest -k <symbol> and python -m pytest <path> shapes. Do not
recommend destructive commands.
Operate and configure AgentOS itself: the `agentos` CLI, agentos.toml, gateway/Web UI, providers and models, skills, channels, sessions, cron, sandbox, and memory. Use when: (1) the user asks to change an AgentOS setting (model, provider, router tier, auth, channels, search), (2) starting, stopping, or debugging the gateway or Web UI, (3) installing, updating, or removing skills and taps, (4) inspecting sessions, usage/cost, cron jobs, or diagnostics, (5) migrating from another agent runtime. NOT for: authoring new skills (see docs/features/skills.md), operating other agent CLIs, or modifying AgentOS source code.
Operate Robinhood Agentic Trading through the Robinhood Trading MCP for account and portfolio analysis, market research, order previews, order placement or cancellation, rebalancing, and bounded trading automation. Use when the user mentions Robinhood Agentic accounts, Robinhood Trading MCP, portfolio or buying-power checks, Robinhood orders, an agentic trading strategy, or publishing content based on Robinhood trading activity.
Use when the user asks to remember, recall, forget, update, search, or inspect durable AgentOS memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory/**/*.md.
Look up Robinhood tokenized-stock (RWA) contract addresses and tickers. Use when: the user asks for the Robinhood token, on-chain contract address, ticker/symbol, or chain of a real-world stock or ETF (e.g. 'what is Apple's ticker', 'mã cổ phiếu Apple là gì', 'Robinhood contract address for Tesla', 'Microsoft token address'). Resolves a company name OR ticker to the on-chain token on Robinhood Chain. NOT for: live stock prices, trade execution, or non-Robinhood tokens. No API key needed.
Render HTML (with CSS) to a PDF file. Trigger when the user wants to export a styled report, invoice, label, or any HTML/Jinja-rendered page to PDF. Uses WeasyPrint, which supports a meaningful subset of CSS Paged Media (page size, margins, headers/footers, page-break-before/after). Optional dependency — install via `pip install 'use-agent-os[document-extras]'` or `uv add weasyprint` because WeasyPrint pulls in native libraries (Pango, Cairo, fontconfig) that need OS-level packages.
Query the web through multiple search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) with a single CLI surface. Trigger when the user asks for a research search, fact lookup, source discovery, or wants to compare engines for coverage. The skill aggregates per-engine result lists and normalizes them into a uniform JSON shape for downstream skills (deep-research is the primary consumer). API-key engines gate themselves on the relevant environment variable; engines requiring no key always run.