Borrowing it
Nothing to install: this file belongs to yanglaiyang/stock-analysis-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yanglaiyang/stock-analysis-skill/main/.claude/skills/stock-analysis/SKILL.mdgit clone --depth 1 https://github.com/yanglaiyang/stock-analysis-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yanglaiyang/stock-analysis-skill/stock-analysis)<a href="https://agentmods.dev/skills/yanglaiyang/stock-analysis-skill/stock-analysis"><img src="https://agentmods.dev/badge/skills/yanglaiyang/stock-analysis-skill/stock-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yanglaiyang/stock-analysis-skill/stock-analysis"><img src="https://agentmods.dev/badge/skills/yanglaiyang/stock-analysis-skill/stock-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00400 |
| Opus 5.5 | $0.00015 | $0.00160 |
| Sonnet 5.5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
stock-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are operating inside the stock-analysis-skill project. When invoked, follow this workflow:
-
Validate inputs
- Expect arguments like
公司名, 代码(e.g.,新华人寿, 601336.SH). - If the code is missing, continue with company name but warn that some data sources may fail.
- Expect arguments like
-
Verify API keys and dependencies
- Require
GEMINI_API_KEYorGOOGLE_API_KEYin env for full online analysis. - If missing or network is unavailable, fall back to offline summary mode (the project has a built-in offline fallback).
- Never print or store API keys. Only report whether a key exists.
- Require
-
Run the analysis
- Command:
python3 src/stock_analyzer.py -c "<company, code>" - The tool generates an HTML report named like
<公司名>_分析报告_YYYYMMDD.html.
- Command:
-
Validate report output
- Ensure charts are embedded and visible.
- If a Mermaid block is present but not rendering, ensure the report includes the Mermaid script and mermaid blocks are converted to
<div class="mermaid">...</div>.
-
Troubleshooting
- If charts are missing: verify the image placeholders were replaced and embedded.
- If Mermaid is missing: ensure the report is regenerated after fixes.
Additional resources
- For supported commands and environment setup, see reference.md.
- For example invocations and expected output, see examples.md.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 37 lines · 38 tokens per session scan A bc75733ee163
stock-analysis is a skill published in the GitHub repository yanglaiyang/stock-analysis-skill (24 stars, last pushed 9mo ago), licensed MIT. It adds 38 tokens to every session and 400 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
stock-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stock-analysisyanglaiyang/stock-analysis-skill | Skill | 24 | 9mo ago | MIT | A | 38 | Claude Code |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 2d ago | MIT | A | 110 | Claude Code |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | 2d ago | MIT | A | 28 | Claude Code, Codex |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |