Gate News Event Explain

Event attribution and explanation. Use this skill whenever the user asks for the reason behind a price move. Trigger phrases include: why did X crash, what j...

MIT-0 · Free to use, modify, and redistribute. No attribution required.
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Purpose & Capability
The skill's declared purpose (explain price moves) aligns with the tools it invokes (news_events_*, info_marketsnapshot_*, info_onchain_*, news_feed_search_news). Minor inconsistency: on-chain checks are specified with chain="eth" (SKILL.md), which is appropriate for ERC-20 tokens but will miss native or non-Ethereum on-chain signals for other assets (e.g., BTC, Solana) unless the agent or platform maps tokens to other chains.
Instruction Scope
SKILL.md contains a focused, multi-step workflow: extract coin/time/direction, call platform tools in parallel, verify events against market snapshot, optionally expand search, and produce a structured report. It does not instruct reading local files, environment variables, or reaching out to endpoints outside the listed MCP tools. It also includes safety guidance (avoid definitive causal claims and avoid fabrication).
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded during installation.
Credentials
No environment variables, credentials, or config paths are requested. All required data access is via declared MCP tool calls; requested permissions are proportionate to the described read-only attribution task.
Persistence & Privilege
always:false and default invocation behavior. The skill does not request permanent system-wide privileges, does not modify other skills, and is read-only per README/CHANGELOG.
Assessment
This skill appears coherent and low-risk: it only calls platform news/market/on-chain tools and produces read-only attribution reports; it requires no installs or credentials. Before installing, consider: (1) the agent will call platform tools with your queries—ensure you trust the platform's MCP tools and their data-handling policies; (2) on-chain verification defaults to Ethereum (chain="eth") in the instructions and may miss signals on non-Ethereum chains unless the platform maps tokens to other chains—expect limitations for BTC or non-ERC20 tokens; (3) the skill can be invoked autonomously by agents (default behavior), so ensure you’re comfortable with an agent running this workflow when users ask about price moves. If you need multi-chain on-chain checks or tighter triggering rules, request those changes before enabling.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

gate-news-eventexplain

The "Why is it pumping/dumping?" Skill. When the market experiences abnormal volatility and the user asks why, the system traces the event source through multi-step calls, cross-references market data to verify impact magnitude, and delivers a complete "Event → Impact Chain → Market Reaction" analysis report.

Trigger Scenarios: User expresses curiosity about a market anomaly, e.g., "why did BTC crash", "what just happened", "why did ETH suddenly spike".


Routing Rules

User IntentKeywordsAction
Reason for price move"why pump" "why dump" "crash" "surge" "what caused" "what happened"Execute this Skill's full workflow
General news query"any recent news"Route to gate-news-briefing
Comprehensive coin analysis"analyze BTC for me"Route to gate-info-coinanalysis
Technical analysis"BTC technical analysis"Route to gate-info-trendanalysis
Market overview"how's the market"Route to gate-info-marketoverview

Execution Workflow

Step 1: Intent Recognition & Parameter Extraction

Extract from user input:

  • coin: The coin involved (e.g., BTC, ETH; may be empty = overall market)
  • direction: Up or down (aids search)
  • time_hint: Time clue ("just now", "today", "yesterday"; default: past 24h)

Step 2: Phase 1 — Event Search + Market Verification (Parallel)

StepMCP ToolParametersRetrieved DataParallel
1anews_events_get_latest_eventscoin={coin}, time_range="24h", limit=10Related event listYes
1binfo_marketsnapshot_get_market_snapshotsymbol={coin}, timeframe="1d", source="spot"Real-time market snapshot (verify volatility magnitude)Yes

Both Tools called in parallel.

Step 3: Decision Branch

events response
    │
    ├── Matching event found (event time aligns with volatility onset)
    │   └── → Step 4a: Get event details
    │
    └── No clear event match
        └── → Step 4b: Expand news search

Step 4a: Event Found → Get Details + On-chain Verification

StepMCP ToolParametersRetrieved DataParallel
2anews_events_get_event_detailevent_id={matched_event_id}Event details (cause, impact, timeline)Yes
2binfo_onchain_get_token_onchaintoken={coin}, chain="eth", scope="transfers"On-chain anomalies (large transfers, exchange inflows/outflows)Yes

Step 4b: No Event Found → Expand Search

StepMCP ToolParametersRetrieved DataParallel
2cnews_feed_search_newscoin={coin}, sort_by="time", limit=15Latest related news (sorted by time)Yes
2dinfo_onchain_get_token_onchaintoken={coin}, chain="eth", scope="transfers"On-chain anomaliesYes

Step 5: LLM Attribution Reasoning

The LLM must complete the following reasoning chain:

  1. Confirm the volatility: Based on the market snapshot, confirm the timing, magnitude, and volume change
  2. Identify the trigger event: From events/news, find the event with the closest time alignment
  3. Verify causality: Did the event precede the price move? Is there corresponding on-chain activity?
  4. Assess the impact chain: Event → Direct impact → Sentiment transmission → Price reaction
  5. Evaluate follow-on potential: Based on the event's nature, assess whether the impact is short-term or sustained

Step 6: Output Structured Report


Report Template

## {coin} {Pump/Dump} Attribution Analysis

> Analysis time: {timestamp}

### 1. Volatility Summary

| Metric | Value |
|--------|-------|
| Current Price | ${price} |
| Move Magnitude | {change}% (within {timeframe}) |
| High | ${high} ({time}) |
| Low | ${low} ({time}) |
| Volume Change | {volume_change}% (vs 24h average) |
| Futures Liquidations | ${liquidation} (if available) |

### 2. Core Triggering Event

🔴 **{event_title}**

- Event Time: {event_time}
- Event Type: {Regulation / Project Development / Market Manipulation / Macro Economic / Technical Failure / Whale Activity}
- Details: {2-3 sentence description}
- Source: {source}

### 3. Event → Impact Chain

{event} │ ├── Direct Impact: {description} │ e.g., SEC lawsuit → Regulatory uncertainty for the token increases │ ├── Sentiment Transmission: {description} │ e.g., Panic spreads → Fear & Greed Index drops from 65 to 35 │ └── Price Reaction: {description} e.g., {coin} dropped from ${high} to ${low} within 2 hours of the event


### 4. On-chain Verification

{If on-chain data is available:}

| On-chain Metric | Anomaly |
|----------------|---------|
| Exchange Inflows | {increase/decrease}, {description} |
| Large Transfers | {count} transfers exceeding ${threshold} |
| Whale Activity | {description} |
| Futures Funding Rate | {change description} |

{Does the on-chain data corroborate the event narrative?}

### 5. Ripple Effects

{Did this event affect other coins/sectors?}

- {Related coin 1}: {impact description}
- {Related coin 2}: {impact description}
- Sector impact: {e.g., L1 sector declined broadly, DeFi sector affected}

### 6. Forward Outlook

{Based on the event's nature, assess the follow-on impact:}

| Dimension | Assessment |
|-----------|------------|
| Impact Duration | {One-time shock / Short-term (1-3 days) / Medium-term (1-2 weeks) / Long-term} |
| What to Watch Next | {Items to monitor: court ruling, policy details, project response, etc.} |
| Historical Precedent | {Similar past events and their outcomes, if any} |

### ⚠️ Important Notes

- Market moves may be caused by multiple overlapping factors; the above analysis is based on currently available information
- Long-term impact of the event remains uncertain

> The above analysis is based on public information and on-chain data. It does not constitute investment advice.

Template When No Event Can Be Identified

## {coin} Volatility Analysis

> Analysis time: {timestamp}

### Volatility Summary

{Same as above}

### Possible Cause Analysis

⚠️ No single clear triggering event was identified. The following is a composite analysis:

**Possible Factor 1: {description}**
- Evidence: {related news/data}
- Likelihood: {High/Medium/Low}

**Possible Factor 2: {description}**
- Evidence: ...
- Likelihood: ...

**On-chain Clues**
{Any anomalous on-chain data that could help explain the move?}

### Composite Assessment

{LLM's composite analysis, with uncertainty explicitly acknowledged}

> Note: No single clear triggering event was found for this move. The above analysis is an informed assessment based on available data.

Reasoning Logic

Event Matching Logic

ConditionAssessment
Event time < price move start time✅ Temporally plausible as a trigger
Event time > price move start time❌ Unlikely to be the trigger (may be follow-up reporting)
Event impact rating = "High"Weight +2
Event involves the queried coinWeight +3
Event type = "Regulation/Policy"Typically causes larger moves
Multiple events simultaneouslyComposite analysis — likely multi-factor

Volatility Magnitude Assessment

MagnitudeLabel
< 3%Normal volatility — may not require a specific event explanation
3% – 10%Moderate volatility — look for recent news/events
10% – 20%Large volatility — typically has a clear event driver
> 20%Extreme volatility — major event or black swan almost certain

On-chain Anomaly Assessment

ConditionAssessment
Exchange inflows surge > 3x average"Large token inflows to exchanges — potential selling pressure"
Exchange outflows surge > 3x average"Large token outflows from exchanges — possible accumulation"
Large transfer count > 5x average"Abnormally active large transfers"
Futures liquidations > $100M"Massive futures liquidation cascade — amplified price volatility"

Error Handling

Error TypeHandling
news_events_get_latest_events finds no matching eventProceed to Step 4b — expand news search
news_events_get_event_detail failsGenerate report based on event list summaries only
info_onchain_get_token_onchain unavailable (P1 phase)Skip on-chain verification section; note "On-chain data temporarily unavailable"
info_marketsnapshot_get_market_snapshot failsCannot confirm volatility magnitude; degrade to showing event info only
Both news and events return no resultsHonestly inform the user "No clear cause has been identified at this time"; suggest monitoring for updates
All Tools failReturn error message; suggest the user try again later

Cross-Skill Routing

User Follow-up IntentRoute To
"Analyze BTC for me"gate-info-coinanalysis
"Give me a technical analysis"gate-info-trendanalysis
"How's the overall market?"gate-info-marketoverview
"Recent news?"gate-news-briefing
"Any on-chain anomalies?"gate-info-tokenonchain
"Track this address"gate-info-addresstracker

Safety Rules

  1. No definitive causal claims: Use language like "likely caused by", "the most closely related event is" — avoid absolute causal assertions
  2. No follow-on predictions: Do not output "it will continue to rise/fall" style predictions
  3. No investment advice: Do not give buy/sell recommendations based on event analysis
  4. Acknowledge uncertainty: When the causal link between event and move is uncertain, explicitly state it
  5. Source attribution: Events and news must cite their sources
  6. Flag missing data: When on-chain data or event details are unavailable, explicitly state it
  7. Avoid amplifying panic: When describing crashes or black-swan events, maintain objective, neutral language — no sensationalist rhetoric

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