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 spikeHongg/china-stock-research-skills --skill risk-warning-catalystsgit clone --depth 1 https://github.com/spikeHongg/china-stock-research-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/spikehongg/china-stock-research-skills/risk-warning-catalysts)<a href="https://agentmods.dev/skills/spikehongg/china-stock-research-skills/risk-warning-catalysts"><img src="https://agentmods.dev/badge/skills/spikehongg/china-stock-research-skills/risk-warning-catalysts/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/spikehongg/china-stock-research-skills/risk-warning-catalysts"><img src="https://agentmods.dev/badge/skills/spikehongg/china-stock-research-skills/risk-warning-catalysts.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 | $0.00056 | $0.00529 |
| Opus 5 | $0.00028 | $0.00264 |
| Sonnet 5 | $0.00011 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
risk-warning-catalysts 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk Warning Catalysts
Convert research into a live monitoring framework.
Non-Negotiable Rules
- Every risk and catalyst must point to a public source and a monitorable trigger.
- Distinguish confirmed events from watch items.
- Use thresholds where possible, not vague language.
- Do not turn monitoring points into valuation conclusions here.
- Default every intermediate and final output to Simplified Chinese unless the user explicitly requests another language.
Read First
skills/shared/references/source-registry.mdskills/shared/references/citation-standard.mdskills/shared/references/analysis-pattern-selector.mdskills/shared/references/language-output-standard.mdskills/shared/templates/catalyst-calendar.mdskills/risk-warning-catalysts/references/monitoring-dashboard.md- If the company is project-driven or asset-ramp sensitive, also load the matching shared overlay.
- If the company is an IDC or AI-compute case,
skills/shared/references/idc-heavy-asset-transition-overlay.mdandskills/risk-warning-catalysts/references/idc-monitoring-indicators.mdare optional example overlays.
When to Use
- Build a watchlist after a deep-dive report.
- Track whether the thesis is improving or deteriorating.
- Prepare a monthly or event-driven update process.
Workflow
- Pull the latest announcements and identify what changed since the last report.
- Map risks by category: execution, finance, governance, policy, customer, technology, litigation.
- Map catalysts by category: orders, policy, financing, asset disposals, utilization, margin improvement.
- Attach a threshold, expected evidence source, and review frequency to each item.
- Build a monthly dashboard and catalyst calendar.
Required Output
事实: confirmed risks, confirmed catalysts, last update status解读: which factors matter most to the thesis and why待验证问题: which missing data points could change the signalDashboard: metric, threshold, latest value, source, next check date
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.
- 12d ago First seen · 55 lines · 56 tokens per session scan A 6ee558899cde
risk-warning-catalysts is a skill published in the GitHub repository spikeHongg/china-stock-research-skills (17 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 529 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 2026-08-30.
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