Tradingagents Analysis
KylinMountain/TradingAgents-AShare
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪(北向资金/主力资金)、宏观经济分析及博弈论推演, 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。
Earnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record…
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentiment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .claude/skills/earnings-sentiment && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .claude/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentimentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .agents/skills/earnings-sentiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .agents/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .cursor/skills/earnings-sentiment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .cursor/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentii-ai/agentii-investment-intelligence.git --path plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .gemini/skills/earnings-sentiment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .gemini/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentimentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .github/skills/earnings-sentiment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .github/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-sentiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment .opencode/skills/earnings-sentiment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "earnings-sentiment" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment into .opencode/skills/earnings-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-sentiment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
earnings-sentimentEarnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record…
Earnings Sentiment is an agent skill from agentii-ai/agentii-investment-intelligence. Earnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record, guidance accuracy, whisper numbers, pre-announcement sentiment
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/knowledge-frameworks.md`, `references/methodology.md` and `references/modes.md`).
It sits in Business, Finance & HR, covering Customer feedback analysis and Speech recognition and synthesis. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
agentii.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Earnings Sentiment loads about 1.8k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 714 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 714 words, ~1,833 tokens.
.claude/skills/earnings-sentiment/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.<!-- analog: catalyst-calendar -->
Run canonical pre-flight per contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
| Parameter | Default | Notes |
|---|---|---|
| lookback_quarters | 4 | Historical data window — matches temporal_scope.default_quarters |
| include_peers | false | Whether to surface a peer comparison block |
This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings and earnings call transcripts spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.
Ownership & insider signals: search_institutional_holdings (top-10 holders + whale portfolios, direction=accumulating|reducing|new|exited) and search_insider_trades (Form-4 transactions with SEC URLs) are available as signal inputs.
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Read before you quote. A page's description is platform-generated — it is never the issuer's
words and must never be quoted as the filing's. When a description identifies a relevant page,
read_source_pages that page and quote its page_content. The description is a pointer, not a
source: a citation written from one is the fabricated quote this skill's output standard exists to
prevent (contracts/retrieval.md § Three-Layer Document Protocol).
Default: 4 fiscal quarters (max 8). Earnings sentiment: trailing 4 quarters for earnings-call tone and guidance trends
See frontmatter allowed_tools.
Step-by-step execution detail is in references/methodology.md.
This skill exposes addressable analysis modes (--mode=<slug> / --modes=<s1>,<s2> / --mode=all; see Mode syntax). The full mode definitions and their output templates live in references/modes.md. The default invocation runs the essentials subset.
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_earnings-sentiment_analyst-sentiment.md .
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
[FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md./v/ citations are the citation surface (immediately after each fact). A bottom roll-up index is optional, and where kept it must not repeat a link the prose already carries.contracts/output-frontmatter-schema.md.Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; citations belong inline, a bottom roll-up index is optional and never a repeat of a link already given; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
contracts/memory-load.md.key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.[FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.End the closing chat reply with the summary shape in contracts/citation-and-memory.md — Citation Placement Policy item 3: title · key conclusions · key metrics · Executive Summary · Key Citations (the headline 5–10 facts, each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link), so the user can cmd+click straight to the exact SEC page without opening the file.
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| Missing data | Data API returns empty result set | Widen date range and retry once | "No data available for {ticker} in requested window." |
| Partial data | Data API returns <80% expected records | Proceed with coverage gaps section | "Analysis based on partial data; see Coverage Gaps section." |
| Sector mismatch | Peer sector != target sector | Filter out mismatched peers | "Removed {n} peer(s) due to sector mismatch." |
| Insufficient history | Ticker <3 years on public markets | Downgrade to limited-history profile | "Limited historical data; analysis adjusted accordingly." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |
© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment of agentii-ai/agentii-investment-intelligence.
Open the folder on GitHubat commit 86980e1
Earnings Sentiment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Earnings Sentiment this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Tradingagents AnalysisKylinMountain/TradingAgents-AShare | 857 | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerokx/agent-skills | 187 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Maxiasickn33/agentic-awesome-skills | 47k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Cre Legalahacker-1/cre-agent-skills | 113 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
KylinMountain/TradingAgents-AShare
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪(北向资金/主力资金)、宏观经济分析及博弈论推演, 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。
dex-original/okx-agent-trade-kit
A skill your agent uses when the user asks about: 'any crypto news', 'latest news', 'market update', 'daily briefing', 'BTC news', 'ETH news', 'news on SOL', 'search SEC ETF', 'regulation news'…
okx/agent-skills
A skill your agent uses when the user asks about: 'any crypto news', 'latest news', 'market update', 'daily briefing', 'BTC news', 'ETH news', 'news on SOL', 'search SEC ETF', 'regulation news'…
sickn33/agentic-awesome-skills
Connect to MAXIA AI-to-AI marketplace on Solana. An agent skill from sickn33/agentic-awesome-skills.
ahacker-1/cre-agent-skills
CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for…
aAAaqwq/AGI-Super-Team
This skill provides comprehensive cryptocurrency market sentiment analysis by combining multiple data sources Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and…
agentii-ai/agentii-investment-intelligence
Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…
agentii-ai/agentii-investment-intelligence
Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step…
agentii-ai/agentii-investment-intelligence
The research-domain clarification skill — find underspecified items in a thesis spec.md (prose wrongif, universe rows without rationale, missing budget/expiry/pins, ambiguous pillars), ask the human…
agentii-ai/agentii-investment-intelligence
Scaffold and amend the L1 Investment Constitution — [ALLCAPS] placeholder bootstrap, SemVer bump rules, Sync Impact Report, MINOR/MAJOR re-examination dispatch after the gate-5 budget confirm.
agentii-ai/agentii-investment-intelligence
Append-only gap closure and the cadence engine for research theses.
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
Earnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record…. Earnings Sentiment is an agent skill from agentii-ai/agentii-investment-intelligence.
Earnings Sentiment fits situations like: tasks that involve Customer feedback analysis; tasks that involve Speech recognition and synthesis.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a claude-code`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment in agentii-ai/agentii-investment-intelligence) into .claude/skills/earnings-sentiment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a codex`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/earnings-sentiment in agentii-ai/agentii-investment-intelligence) into .agents/skills/earnings-sentiment in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-sentiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earnings-sentiment, .gemini/skills/earnings-sentiment, .github/skills/earnings-sentiment and .opencode/skills/earnings-sentiment in your project.
SKILL.md names no scripts, command-line tools or credentials: Earnings Sentiment is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: agentii.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Earnings Sentiment is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Earnings Sentiment: Tradingagents Analysis (KylinMountain/TradingAgents-AShare, 857 stars), Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars), Okx Sentiment Tracker (okx/agent-skills, 187 stars) and Maxia (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.