TSLA Tesla, Inc.

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Reading additional input from stdin...
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2026-06-05T22:49:41.291402Z ERROR codex_core::session::session: failed to load skill /Users/frank/.codex/plugins/cache/openai-curated/heygen/e2d08a2e/skills/heygen-avatar/SKILL.md: invalid description: exceeds maximum length of 1024 characters
2026-06-05T22:49:41.291413Z ERROR codex_core::session::session: failed to load skill /Users/frank/.codex/plugins/cache/openai-curated/heygen/e2d08a2e/skills/heygen-video/SKILL.md: invalid description: exceeds maximum length of 1024 characters
OpenAI Codex v0.137.0-alpha.4
--------
workdir: /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13
model: gpt-5.5
provider: openai
approval: never
sandbox: read-only
reasoning effort: high
reasoning summaries: none
session id: 019e99fa-578e-74b1-966f-67b66b5f1bc7
--------
user
为自选股 TSLA 生成中文深度分析报告。读取本地证据目录 /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/evidence/13，并允许联网搜索补充公开信息。如果 /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/evidence/13/images 存在图片证据，请逐张检查截图、图表、研报附图，提取其中的关键数字、趋势、来源和可能误读点。不要要求用户手工填写报告章节；公司简介必须像交易软件档案页一样写成：概况、板块（行业和概念）、公司高管、股东情况、基金/机构持股，投资假设、风险点、基本面、研报观点、传闻情绪、重大事件、反方观点和复盘触发条件都应由你基于证据和联网搜索生成。必须单独写一个“白盒估值参数”小节，按股票所属类型尽量给出可核验输入：12个月预期 EPS、TTM EPS、收入增长率、营收 CAGR、净利率、ROE/RoTE、FCF 稳定性、股本/稀释股数、总市值、Forward PE、EV/EBITDA、EBITDA、净债务、BVPS/TNAV、PS/EV Sales、Beta、负债率、是否 ETF。缺失字段要明确写“未找到可靠来源”，不要用当前价乘倍数倒推，也不要给口头目标价。报告必须区分事实、观点、传闻、图片证据和推断，必须列出反方观点和复盘触发条件。
2026-06-05T22:49:41.539371Z  WARN codex_core_plugins::manifest: ignoring interface.defaultPrompt[0]: prompt must be at most 128 characters path=/Users/frank/.codex/.tmp/plugins/plugins/ngs-analysis/.codex-plugin/plugin.json
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codex
我会先盘点本地证据目录，尤其是图片和研报文件；同时按你的要求联网核对最新公开信息。因为这是投资分析类任务，我会把事实、观点、传闻、图片证据和推断分开写清楚。
exec
/bin/bash -lc 'pwd && find .. -name AGENTS.md -print' in /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13
 succeeded in 0ms:
/Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13

2026-06-05T22:49:58.644653Z  WARN codex_otel::events::session_telemetry: metrics counter [codex.skill.injected] failed: tag value contains invalid characters: superpowers:using-superpowers
exec
/bin/bash -lc "sed -n '1,220p' /Users/frank/.codex/plugins/cache/openai-curated/superpowers/e2d08a2e/skills/using-superpowers/SKILL.md" in /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13
 succeeded in 0ms:
---
name: using-superpowers
description: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
---

<SUBAGENT-STOP>
If you were dispatched as a subagent to execute a specific task, skip this skill.
</SUBAGENT-STOP>

<EXTREMELY-IMPORTANT>
If you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. This is not optional. You cannot rationalize your way out of this.
</EXTREMELY-IMPORTANT>

## Instruction Priority

Superpowers skills override default system prompt behavior, but **user instructions always take precedence**:

1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority
2. **Superpowers skills** — override default system behavior where they conflict
3. **Default system prompt** — lowest priority

If CLAUDE.md, GEMINI.md, or AGENTS.md says "don't use TDD" and a skill says "always use TDD," follow the user's instructions. The user is in control.

## How to Access Skills

**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.

**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.

**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.

**In other environments:** Check your platform's documentation for how skills are loaded.

## Platform Adaptation

Skills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.

# Using Skills

## The Rule

**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.

```dot
digraph skill_flow {
    "User message received" [shape=doublecircle];
    "About to EnterPlanMode?" [shape=doublecircle];
    "Already brainstormed?" [shape=diamond];
    "Invoke brainstorming skill" [shape=box];
    "Might any skill apply?" [shape=diamond];
    "Invoke Skill tool" [shape=box];
    "Announce: 'Using [skill] to [purpose]'" [shape=box];
    "Has checklist?" [shape=diamond];
    "Create TodoWrite todo per item" [shape=box];
    "Follow skill exactly" [shape=box];
    "Respond (including clarifications)" [shape=doublecircle];

    "About to EnterPlanMode?" -> "Already brainstormed?";
    "Already brainstormed?" -> "Invoke brainstorming skill" [label="no"];
    "Already brainstormed?" -> "Might any skill apply?" [label="yes"];
    "Invoke brainstorming skill" -> "Might any skill apply?";

    "User message received" -> "Might any skill apply?";
    "Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
    "Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
    "Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
    "Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
    "Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
    "Has checklist?" -> "Follow skill exactly" [label="no"];
    "Create TodoWrite todo per item" -> "Follow skill exactly";
}
```

## Red Flags

These thoughts mean STOP—you're rationalizing:

| Thought | Reality |
|---------|---------|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "I can check git/files quickly" | Files lack conversation context. Check for skills. |
| "Let me gather information first" | Skills tell you HOW to gather information. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action wastes time. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |

## Skill Priority

When multiple skills could apply, use this order:

1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task
2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution

"Let's build X" → brainstorming first, then implementation skills.
"Fix this bug" → debugging first, then domain-specific skills.

## Skill Types

**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.

**Flexible** (patterns): Adapt principles to context.

The skill itself tells you which.

## User Instructions

Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.

exec
/bin/bash -lc "find '/Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/evidence/13' -maxdepth 3 -type f -print | sort" in /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13
 succeeded in 0ms:
/Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/evidence/13/evidence_manifest.md

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codex
Using `superpowers:using-superpowers` to check the applicable workflow, and I’ll use the finance/reporting guidance only where it helps structure the analysis. Next I’m reading the evidence manifest to see what local artifacts actually exist.
exec
/bin/bash -lc "sed -n '1,260p' '/Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/evidence/13/evidence_manifest.md'" in /Users/frank/Documents/My Documents/Claude Code/Frank‘Lab/stock-lab/data/reports/13
 succeeded in 0ms:
# Evidence Manifest

报告必须引用这里的 evidence_id，并区分事实、观点、传闻、推断和图片证据。

## EVIDENCE-895: Tesla Turned $1,000 Into This Much The Past 10 Years
- kind: NEWS
- grade: B
- source: Yahoo Finance
- url: https://247wallst.com/investing/2026/06/05/tesla-turned-1000-into-this-much-the-past-10-years/?.tsrc=rss
- raw_path: N/A
- captured_at: 2026-06-05T22:13:22.867024
- summary: 资本结构/融资事件：From Near-Bankruptcy to the AI and Autonomy Bet Ten years ago, Tesla (NASDAQ:TSLA) was a Model S and Model X maker scrambling to ramp the Model 3 and absorb SolarCity. The decade since has packed in production hell, a brush with insolvency, S&P 500 inclusion in late 2020, a euphoric run pas