Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 24mlight/agent-agnostic-stock-skills --skill stock-analysisgit clone --depth 1 https://github.com/24mlight/agent-agnostic-stock-skillsWrote 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/24mlight/agent-agnostic-stock-skills/stock-analysis)<a href="https://agentmods.dev/skills/24mlight/agent-agnostic-stock-skills/stock-analysis"><img src="https://agentmods.dev/badge/skills/24mlight/agent-agnostic-stock-skills/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/24mlight/agent-agnostic-stock-skills/stock-analysis"><img src="https://agentmods.dev/badge/skills/24mlight/agent-agnostic-stock-skills/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 | $0.00089 | $0.08953 |
| Opus 5 | $0.00044 | $0.04476 |
| Sonnet 5 | $0.00018 | $0.01791 |
| Haiku 4.5 | $0.00009 | $0.00895 |
Grade A, and why
stock-analysis-github 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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
26 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.
- .github/workflows/release.yml 412 B
- .github/workflows/test.yml 820 B
- .gitignore 568 B
- .mcp.json.example 358 B
- CHANGELOG.md 712 B
- config.yaml 528 B
- CONTRIBUTING.md 1.5 KB
- docs/images/dark-mode.png 3843 KB
- examples/个股研究-中国长城.html 63 KB
- HTML手写参考.md 16 KB
- HTML报告设计规范v1.0.md 23 KB
- LICENSE 1.0 KB
- LOCAL_VERSION.md 2.3 KB
- PROJECT_STRUCTURE.md 2.9 KB
- README.md 6.6 KB
- RELEASE_NOTES.md 6.2 KB
- requirements.txt 194 B
- shared/template_base.css 12 KB
- shared/template_base.js 6.0 KB runs code
- src/__init__.py 59 B runs code
- src/analyzer.py 9.8 KB runs code
- src/data_fetcher.py 98 KB runs code
- src/html_renderer.py 20 KB runs code
- src/utils.py 664 B runs code
- stock_full_report.py 14 KB runs code
- 分析框架.md 107 KB
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.
- 12d ago First seen · 611 lines · 89 tokens per session scan A e9a83ece9c8a
stock-analysis-github is a skill published in the GitHub repository 24mlight/agent-agnostic-stock-skills (10 stars, last pushed 2mo ago), with no licence file. It adds 89 tokens to every session and 8,953 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.