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 minguncle/a-share-agent-skills --skill a-share-event-mappergit clone --depth 1 https://github.com/minguncle/a-share-agent-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/minguncle/a-share-agent-skills/a-share-event-mapper)<a href="https://agentmods.dev/skills/minguncle/a-share-agent-skills/a-share-event-mapper"><img src="https://agentmods.dev/badge/skills/minguncle/a-share-agent-skills/a-share-event-mapper/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/minguncle/a-share-agent-skills/a-share-event-mapper"><img src="https://agentmods.dev/badge/skills/minguncle/a-share-agent-skills/a-share-event-mapper.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 | $0.00065 | $0.01058 |
| Opus 5 | $0.00032 | $0.00529 |
| Sonnet 5 | $0.00013 | $0.00212 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
a-share-event-mapper 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 10d 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.
A-Share Event Mapper
Use this skill when the user asks questions like "国际局势会怎么传导到 A 股", "如果周末打起来拿什么更稳", or "这个宏观事件会利好哪些板块和票".
What This Skill Does
This skill converts a headline or macro shock into an A-share playbook by forcing four steps:
- define the event clearly
- assign probability buckets
- map the direct and indirect transmission chains
- rank sectors and stock types by fit
When To Use
Use this skill when the user:
- asks about war, sanctions, oil, gold, shipping, RMB, yields, Fed, or policy shocks
- wants a weekend or next-session scenario plan
- wants "稳一点" versus "弹性一点" mappings
- wants to choose between direct beneficiaries and indirect themes
Do not use nonpublic or inside information. If the user mentions private progress, restate that the analysis will use public information only.
Event Mapping Workflow
1. Define The Event Precisely
State the exact scenario:
- base case
- medium escalation
- tail-risk case
Examples:
- no ground invasion, but tension persists
- airstrikes and infrastructure disruption
- full regional escalation with direct U.S. involvement
2. Assign Probability Buckets
Use rough probability ranges, not fake precision.
Example structure:
- base case: 50%-60%
- medium escalation: 25%-35%
- tail risk: 5%-15%
Explain that these are inference-based scenario weights, not facts.
3. Verify Cross-Asset Direction
Check live or recent evidence for:
- crude oil
- gold
- U.S. dollar
- U.S. yields
- RMB if relevant
Then ask whether the A-share market is actually trading that transmission.
4. Rank The A-Share Transmission
Separate:
- direct beneficiaries
- second-order beneficiaries
- narrative-only names
Typical chains:
- Middle East escalation -> oil -> upstream energy -> oil service -> coal/power -> inflation-sensitive assets
- sanctions -> domestic substitution -> semis/equipment/materials/software
- rising yields -> growth valuation pressure -> dividend/financial relative support
- RMB weakness -> export chain support vs foreign-flow pressure
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.
- 10d ago First seen · 151 lines · 65 tokens per session scan A f572aac8a43d
a-share-event-mapper is a skill published in the GitHub repository minguncle/a-share-agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 65 tokens to every session and 1,058 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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