Gate Info Coinanalysis

gate-info-coinanalysis

General Rules

⚠️ STOP — You MUST read and strictly follow the shared runtime rules before proceeding. Do NOT select or call any tool until all rules are read. These rules have the highest priority. → Read gate-runtime-rules.md → Also read info-news-runtime-rules.md for gate-info / gate-news-specific rules (tool degradation, report standards, security, routing degradation, and per-skill version checks when scripts/ is present).

• Only call MCP tools explicitly listed in this skill. Tools not documented here must NOT be called, even if they exist in the MCP server.

The most frequently used Skill. The user inputs a coin name, the system calls 5 MCP Tools in parallel to fetch fundamentals + market data + technicals + news + social sentiment, then the LLM aggregates the results into a structured analysis report.

Trigger Scenarios: User mentions a specific coin + keywords like analyze, how is, worth, look at, fundamentals, market analysis.

Per-skill updates: This directory includes scripts/update-skill.sh and scripts/update-skill.ps1. Policy: info-news-runtime-rules.md §1. The Trigger update steps below apply in addition to gate-runtime-rules.md; when scripts are present, use this flow for version checks before execution.

Trigger update (with Execution)

Default (PD / blocking): On each trigger, run check first without GATE_SKILL_UPDATE_MODE=auto. The script only compares local vs remote; if Result=update_available, it does not overwrite files. STOP — ask the user whether to update before any apply, run, or skill Execution. In sandboxes (e.g. Cursor), use full / all permissions when later running apply. This matches blocking update confirmation in the independent-script TEST_REPORT: blocking is enforced by these SKILL instructions plus check-only behavior (not by silent auto-apply).

Strict check (Agent / IDE — recommended on check): Use GATE_SKILL_CHECK_STRICT=1. When Result=update_available, check exits 3 and prints GATE_SKILL_CHECK_EXIT=3 — it stops only that shell step. Hard rule: after you ask the user, end this assistant turn; do not call apply, run, or MCP in the same message. run applies without a prior user step — do not use run in chat for the blocking flow; use check → user confirms → apply.

Step 1 — Check

Install root: check / apply read $DEST/SKILL.md. Typical $SKILL_ROOT: $HOME/.cursor/skills/<name>/, $HOME/.codex/skills/<name>/, $HOME/.openclaw/skills/<name>/, $HOME/.agents/skills/<name>/, $HOME/.gemini/antigravity/skills/<name>/. Single-arg: the script resolves DEST in that order when SKILL.md exists; otherwise DEST is scripts/../. Workspace-only trees need two-arg check / apply with explicit DEST.

Bash (blocking — no auto; example Cursor):

GATE_SKILL_CHECK_STRICT=1 bash "$HOME/.cursor/skills/gate-info-coinanalysis/scripts/update-skill.sh" check "gate-info-coinanalysis"

PowerShell:

$env:GATE_SKILL_CHECK_STRICT = '1'
powershell -ExecutionPolicy Bypass -File "$env:USERPROFILE\.cursor\skills\gate-info-coinanalysis\scripts\update-skill.ps1" check "gate-info-coinanalysis"

Result semantics: skipped = no action. update_available = remote newer; with blocking flow, do not apply until the user agrees. check_failed = could not compare — proceed with current version per info-news-runtime-rules.md.

Agent parse (stdout): GATE_SKILL_UPDATE_AGENT_ACTION=…. BLOCK_UNTIL_USER_CONFIRMS_UPDATE → Step 2 before Execution. CONTINUE_SKILL_EXECUTION → no block from the check script.

Step 2 — Confirm or Reject (blocking)

If update_available:

1. STOP — do NOT proceed to Execution yet.

2. Inform the user (e.g. newer version available; summarize if helpful).

3. Wait for the user’s reply — blocking step.

   Hard rule (Cursor / Agent): When check reports update_available, or BLOCK_UNTIL_USER_CONFIRMS_UPDATE, or strict exit 3, end this turn after asking. Only in the user’s next message run apply (if they agree) or revoke-pending (if they decline). Do not chain apply in the same turn as check for this flow.

   • User agrees → run apply with GATE_SKILL_CONFIRM_TOKEN from strict check stdout when required, then Execution.
   • User declines → revoke-pending, then Execution on the current install.

Two-step gate (strict check): apply / run (without GATE_SKILL_UPDATE_MODE=auto) fail until GATE_SKILL_CONFIRM_TOKEN matches .gate-skill-apply-token. User decline → revoke-pending.

GATE_SKILL_CONFIRM_TOKEN="<paste from check stdout>" bash "$HOME/.cursor/skills/gate-info-coinanalysis/scripts/update-skill.sh" apply "gate-info-coinanalysis"

bash "$HOME/.cursor/skills/gate-info-coinanalysis/scripts/update-skill.sh" revoke-pending "gate-info-coinanalysis"

$env:GATE_SKILL_CONFIRM_TOKEN = '<paste from check stdout>'
powershell -ExecutionPolicy Bypass -File "$env:USERPROFILE\.cursor\skills\gate-info-coinanalysis\scripts\update-skill.ps1" apply "gate-info-coinanalysis"

powershell -ExecutionPolicy Bypass -File "$env:USERPROFILE\.cursor\skills\gate-info-coinanalysis\scripts\update-skill.ps1" revoke-pending "gate-info-coinanalysis"

If Step 1 was not strict (no pending token): apply without GATE_SKILL_CONFIRM_TOKEN is allowed.

If skipped or check_failed: no update step; proceed to Execution.

Optional — GATE_SKILL_UPDATE_MODE=auto

For CI / unattended automation only: setting GATE_SKILL_UPDATE_MODE=auto on check makes the script apply immediately when the remote is newer — no user confirmation and incompatible with blocking update confirmation tests. Do not use auto on check when reproducing the blocking PD flow.

Parameters

• name: Frontmatter name above; must match skills/<name>/ on gate-skills.
• Invoke: Use $SKILL_ROOT/scripts/update-skill.sh (or .ps1) where $SKILL_ROOT/SKILL.md is this skill — e.g. ~/.cursor/skills/<name>, ~/.codex/skills/<name>, ~/.openclaw/skills/<name>, ~/.agents/skills/<name>, ~/.gemini/antigravity/skills/<name>; do not treat ~/.cursor (or any host root without skills/<name>/SKILL.md) as the install. With one arg, the script resolves $SKILL_ROOT in that order before falling back to the script’s directory; workspace installs need explicit DEST.

Do not dump raw script logs into the user-facing reply except when debugging. On check exit 3 (strict), do not run Execution until Step 2 is resolved. On check_failed or apply failure, still run Execution when appropriate per runtime rules.

MCP Dependencies

Required MCP Servers

MCP Tools Used

Query Operations (Read-only)

• info_coin_get_coin_info
• info_coin_search_coins
• info_marketsnapshot_get_market_snapshot
• info_markettrend_get_technical_analysis
• news_feed_get_social_sentiment
• news_feed_search_news

Authentication

• API Key Required: No

Installation Check

• Required: Gate-Info
• Install: Run installer skill for your IDE
  • Cursor: gate-mcp-cursor-installer
  • Codex: gate-mcp-codex-installer
  • Claude: gate-mcp-claude-installer
  • OpenClaw: gate-mcp-openclaw-installer

Routing Rules

Execution Workflow

Step 0: Multi-Dimension Intent Check

Before executing this Skill, check if the user's query involves multiple analysis dimensions:

• If the query is a standard single-coin analysis (e.g., "analyze SOL", "how is BTC"), proceed with this Skill.
• If the query also mentions security/risk check, event attribution, multi-coin comparison, or any other analysis dimension beyond single-coin comprehensive, route to gate-info-research — it handles multi-dimension queries with unified tool deduplication and coherent report aggregation.

Step 1: Intent Recognition & Parameter Extraction

Extract from user input:

• symbol: Coin ticker (e.g., BTC, SOL, ETH)
• If the user mentions a project name (e.g., Solana, Uniswap), map it to the ticker symbol

If the coin cannot be identified, ask the user to clarify the coin name — do not guess.

Step 2: Call 5 MCP Tools in Parallel

All 5 Tools are called in parallel with no dependencies. If no news MCP is configured, call only the first 3 Gate-info tools; mark sentiment sections as "No data".

Step 3: LLM Aggregation

Pass all 5 Tool responses to the LLM to generate a structured analysis report.

Step 4: Output Structured Report

Report Template

## {symbol} Comprehensive Analysis

### 1. Fundamentals Overview

| Metric | Value |
|--------|-------|
| Project Name | {project_name} |
| Sector | {category} |
| Market Cap Rank | #{market_cap_rank} |
| Circulating Market Cap | ${market_cap} |
| Fully Diluted Valuation | ${fdv} |
| Total Funding Raised | ${total_funding} |
| Key Investors | {investors} |

{Brief analysis of tokenomics and unlock schedule; flag any upcoming large unlocks}

### 2. Market Data & Technical Analysis

**Current Market Data**

| Metric | Value | Status |
|--------|-------|--------|
| Price | ${price} | — |
| 24h Change | {change_24h}% | {Up/Down/Sideways} |
| 7d Change | {change_7d}% | {Up/Down/Sideways} |
| 24h Volume | ${volume_24h} | {High/Low/Normal} |
| RSI(14) | {rsi} | {Overbought/Oversold/Neutral} |
| Fear & Greed Index | {fear_greed} | {Extreme Fear/Fear/Neutral/Greed/Extreme Greed} |

**Technical Signals**

{Based on info_markettrend_get_technical_analysis multi-timeframe signals, give a Bullish/Bearish/Neutral overall assessment}

- Short-term (1h/4h): {signal}
- Medium-term (1d): {signal}
- Support: ${support}
- Resistance: ${resistance}

### 3. News & Market Sentiment

**Recent Key News**

1. [{title}]({source}) — {summary} ({time})
2. ...

**Social Sentiment**

- Twitter Discussion Volume: {level}
- KOL Sentiment Bias: {Bullish/Bearish/Neutral}
- Sentiment Score: {sentiment_score}

### 4. Overall Assessment

{LLM generates a 3-5 sentence assessment covering:}
- Current market phase for this asset
- Primary drivers (fundamentals / technicals / sentiment)
- Key risks to monitor

### ⚠️ Risk Warnings

{Data-driven risk alerts, e.g.:}
- RSI overbought — elevated short-term pullback risk
- Upcoming large token unlock
- High funding rate — leveraged long crowding
- Low liquidity (if applicable)

> The above analysis is data-driven and does not constitute investment advice. Please make decisions based on your own risk tolerance.

Decision Logic

Error Handling

Cross-Skill Routing

Safety Rules

1. No investment advice: The overall assessment is data-driven analysis and must include a "not investment advice" disclaimer
2. No price predictions: Do not output specific target prices or up/down predictions
3. Data transparency: Label data source and update time for each dimension
4. Flag missing data: When any dimension has no data, explicitly inform the user — never fabricate data