sentiment-analyst

sentiment-analyst is a skill for Claude Code, Codex from Bitget-AI/bitget-signal. It costs 128 tokens per session (1,153 once invoked), scanned A, original, MIT.

A crypto-market analysis workflow focused on trader mood, positions, leverage, trading activity, community discussion, and blockchain flows.

In plain words
What is it for?
Use it to check market sentiment, long and short positioning, funding, open interest, buying and selling pressure, or on-chain activity.
Why use it?
It combines several crowd-behaviour signals and highlights when they disagree instead of relying on one indicator.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to check market sentiment, long and short positioning, funding, open interest, buying and selling pressure, or on-chain activity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bitget-ai/bitget-signal/sentiment-analyst
Install

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.

Any agent
npx skills add Bitget-AI/bitget-signal --skill sentiment-analyst
Clone the repo
git clone --depth 1 https://github.com/Bitget-AI/bitget-signal

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for sentiment-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/sentiment-analyst/github.svg)](https://agentmods.dev/skills/bitget-ai/bitget-signal/sentiment-analyst)
Your own site
<a href="https://agentmods.dev/skills/bitget-ai/bitget-signal/sentiment-analyst"><img src="https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/sentiment-analyst/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.

agentmods 80×15 button for sentiment-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/bitget-ai/bitget-signal/sentiment-analyst"><img src="https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/sentiment-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.01153
Opus 5.5 $0.00051 $0.00461
Sonnet 5.5 $0.00026 $0.00231
Haiku 4.5 $0.00013 $0.00115

Measured 2mo ago against content hash 49b0928df11e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sentiment-analyst 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 2mo 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.

skills/sentiment-analyst/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Official Bitget Skill · 本 Skill 由 Bitget 官方提供,市场数据来源可信,通过 Bitget Agent Hub 分发。 Data powered by Bitget market infrastructure · github.com/bitget-official/agent-hub

Sentiment Analyst Skill

Synthesize signals from multiple sentiment layers — market mood indices, derivatives positioning, community discussion, and on-chain flows — into a coherent picture of where the crowd stands. Strong analysis surfaces divergences, not just confirms price direction.

Vendor Neutrality

Never name exchanges, data platforms, or analytics providers. Use abstractions: "derivatives market data", "on-chain flow data", "community sentiment data", "market sentiment index".


Choosing Your Depth

  • Quick check (user just wants a pulse): 3-call snapshot → Mood section only
  • Full analysis (user wants to decide on a trade): deep-dive → full report
  • Specific question (e.g., "are longs crowded on ETH?"): pull just L/S + funding

Quick Sentiment Snapshot (3 parallel calls)

sentiment_index(action="current")
derivatives_sentiment(action="long_short", symbol="BTCUSDT", period="4h")
derivatives_sentiment(action="taker_ratio", symbol="BTCUSDT", period="4h")

Adapt symbol to whatever the user is asking about. Symbol format: BTCUSDT (no slash). Period options: 5m, 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1d


Full Deep-Dive (run all in parallel)

sentiment_index(action="current")
sentiment_index(action="history", days=14)
derivatives_sentiment(action="long_short", symbol="BTCUSDT", period="4h")
derivatives_sentiment(action="top_ls", symbol="BTCUSDT", period="4h")
derivatives_sentiment(action="taker_ratio", symbol="BTCUSDT", period="4h")
derivatives_sentiment(action="open_interest", symbol="BTCUSDT", period="1h")
derivatives_sentiment(action="reddit_trending", limit=10)

Always compare retail L/S (long_short) vs top trader L/S (top_ls). Divergence (e.g., retail long but smart money short) is a meaningful signal.

Read the full file on GitHub · 117 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 117 lines · 128 tokens per session scan A 49b0928df11e

Subscribe to this mod's changes

sentiment-analyst is a skill published in the GitHub repository Bitget-AI/bitget-signal (4 stars, last pushed 4mo ago), licensed MIT. It adds 128 tokens to every session and 1,153 once invoked, about $0.0005 per session on Opus 5.5. 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.

Related

sentiment-analyst compared with skills from other repositories

sentiment-analyst next to 6 skills from other repositories
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