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 Lord1Egypt/awesome-skill-forge --skill a-share-decision-deskgit clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forgeWrote 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/lord1egypt/awesome-skill-forge/a-share-decision-desk)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-share-decision-desk"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-decision-desk/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/lord1egypt/awesome-skill-forge/a-share-decision-desk"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-share-decision-desk.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 | $0.00063 | $0.01697 |
| Opus 5 | $0.00032 | $0.00848 |
| Sonnet 5 | $0.00013 | $0.00339 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
uwillberich 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
uwillberich
Author: 超超
Contact: [email protected]
Overview
Use this skill for decision-oriented A-share analysis. The goal is not to explain the market mechanically, but to convert today’s tape and overnight developments into a concrete next-session plan.
Best fit:
- next-session A-share outlook
- likely repair sectors after a selloff
- opening checklist for
09:00,09:25, and09:30-10:00 - first-30-minute observation template for distinguishing true repair from defensive concentration
- watchlist-based decision notes
- distinguishing defensive leadership from true market repair
- persistent message iteration that maps high-attention news into watchlist overlays
- automatic event-driven stock pools that feed directly into desk reports
- main-force capital-flow confirmation for watchlists and market-wide risk tone
- industry-chain expansion that turns event themes into fresh stock pools
- sentiment scoring built from breadth, sector dispersion, and capital flow
Core Workflow
- Gather market structure first.
- Confirm
EM_API_KEYis configured before running any script. - Run
scripts/fetch_market_snapshot.pyfor indices, breadth, and sector leaders/laggards. - Run
scripts/fetch_quotes.pyorscripts/morning_brief.pyfor the watchlist.
- Confirm
- Confirm the overnight and policy layer.
- Use primary sources first for
PBOC,Federal Reserve, and other central-bank decisions. - Use high-quality news sources for geopolitics, oil, and global risk sentiment.
- Use primary sources first for
- Classify the market through three layers.
- External shock: oil, rates, U.S. equities, geopolitics
- Domestic policy/liquidity:
LPR, PBOC posture, macro support - Internal structure: breadth, leadership, relative strength, style rotation
- Build a scenario tree.
- Provide
Base / Bull / Bearpaths with explicit triggers and invalidations.
- Provide
- Turn the view into an execution checklist.
- Include
09:00,09:20-09:25,09:30-10:00, and14:00-14:30.
- Include
Workflow Shortcuts
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.
- 11d ago First seen · 151 lines · 63 tokens per session scan A 88772c92730a
uwillberich is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 1,697 once invoked, about $0.0003 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.
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