Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.
Install Earnings Preview Med
$ npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-preview-med -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-preview-med --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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .claude/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .claude/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-medType 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-preview-med -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-preview-med --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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .agents/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .agents/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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-preview-med -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-preview-med --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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .cursor/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .cursor/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med--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-preview-med -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence earnings-preview-med --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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .gemini/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .gemini/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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-preview-medInstalls 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-preview-med -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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .github/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .github/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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-preview-med -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-preview-med --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/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med .opencode/skills/earnings-preview-med && 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-preview-med" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med into .opencode/skills/earnings-preview-med/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "earnings-preview-med", 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.
Facts
- Skill name
earnings-preview-med- GitHub stars
- 207
- Token cost
- ~1.5k tokens
- SKILL.md length
- 552 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.
- Works in 4 steps: search_earnings_calendar — estimates,… → search_xbrl_facts — revenue/EPS/margin… → search_documents/read_source_* —… → …
- Tasks that involve Stock and market analysis
- SKILL.md covers Defaults, Preflight, Triggers and Production Grounding, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Earnings Preview Med is an agent skill from agentii-ai/agentii-investment-intelligence. Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. 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.
When your agent uses it
- Tasks that involve Stock and market analysis
Example prompts
- “/earnings-preview-med”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- search_earnings_calendar — estimates, actuals, surprise history, next date.
- search_xbrl_facts — revenue/EPS/margin trends.
- search_documents/read_source_* — prior-quarter commentary and guidance.
- Knowledge layer: search_investment_cases for historical print reactions.
What it can do on your machine
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Earnings Preview Med loads about 1.5k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 552 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 552 words, ~1,495 tokens.
Download SKILL.mdSave it as
.claude/skills/earnings-preview-med/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- earnings-preview-med
- description
- Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.
- sectors
- med.medicines_biotech, med.medical_devices
- multi_ticker_semantics
- single_target
- temporal_scope.default_quarters
- 4
- temporal_scope.max_quarters
- 8
- temporal_scope.description
- Preview window default 4 quarters; up to 8 for guidance trajectories.
- retrieval_scope
- unstructured_document_search
- min_tool_diversity
- 3
- parameter_free
- false
Methodology inspired by publicly taught earnings-preview frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| surprise_window | 8 quarters | Standard surprise history window |
| include_catalysts | true | Med prints move on catalysts as much as EPS |
| guidance_sensitivity | true | Guidance is the swing factor for pharma |
Preflight
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).
Triggers
- "Preview [biotech ticker]'s upcoming earnings."
- "What should I expect at [ticker]'s next print?"
- "How has [ticker] surprised historically?"
- "Which catalysts land near [ticker]'s earnings date?"
- "Build an earnings preview with consensus estimates."
- "What's the guidance risk for [ticker] this quarter?"
- "Summarize the last few quarters for [ticker]."
- "Earnings + FDA calendar overlap for [ticker]."
- "What are the swing factors for [ticker]'s print?"
- "Historical reaction to [ticker]'s earnings surprises."
- "What changed in my estimates, thesis, and positioning ahead of [ticker]'s print?"
Production Grounding
- Med prints have TWO drivers: financials (revenue/EPS/guidance) and catalysts (PDUFA/AdCom/readouts). The catalyst overlay is mandatory — a clean quarter can be undone by a CRL days earlier.
- Every preview closes with model-vs-consensus deltas (our modeled numbers vs consensus from
search_earnings_calendar, signed with the driver named) and the three what's-changed vectors (estimates / thesis / positioning) — estimates move first, thesis and positioning follow only when the facts justify them. - For pre-revenue biotechs, the print is mostly about cash runway + pipeline updates; consensus EPS is secondary.
- Grounding frameworks:
references/knowledge-frameworks.md(道/法 review knowledge).
Data Source Priority
search_earnings_calendar— estimates, actuals, surprise history, next date.search_xbrl_facts— revenue/EPS/margin trends.search_documents/read_source_*— prior-quarter commentary and guidance.- Knowledge layer:
search_investment_casesfor historical print reactions.
Methodology
Retrieval Scope
unstructured_document_search
Retrieval Strategy
- Resolve the earnings event:
search_earnings_calendarfor dates/estimates/surprises (consensus values). - Pull fundamentals trend:
search_xbrl_factskey line items (our modeled numbers). - Compute model-vs-consensus deltas on each key line item; state assumptions; annotate coverage_gap where no consensus value exists.
- Slot-refresh the three what's-changed vectors: estimates / thesis / positioning.
- Catalyst overlay: nearest PDUFA/AdCom/readout vs print date.
- Ground with historical cases (print reactions) via knowledge tools.
Show full SKILL.md (203 more words)Show less
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Event & estimates
- Fundamental trend
- Model-vs-consensus deltas
- What's-changed vectors (estimates / thesis / positioning)
- Catalyst overlay
- Swing-factor synthesis
Modes
- Standard (default): estimates + surprises + guidance.
- Pre-revenue: runway + pipeline + readout framing.
- Catalyst-overlap: print framed around nearby FDA events.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| search_earnings_calendar empty | Use filings (search_documents) for dates; annotate coverage_gap |
| No catalyst data | Flag "catalyst overlay unavailable" |
| Knowledge tools empty | Proceed with structured data only |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_earnings-preview-med_{affix}.md
Output Structure
- Executive Summary — setup for the print in 2-3 sentences
- Consensus & Surprise History — estimates table + surprise record
- Model vs Consensus — our modeled numbers vs consensus (
search_earnings_calendar) with signed deltas and named drivers - What's Changed — the three vectors: estimates / thesis / positioning (estimates move first, ratings last)
- Guidance & Swing Factors — guidance risk analysis
- Catalyst Overlay — FDA events near the print
- Historical Context — cases with /v/ citations
- Coverage Gaps — degraded flags
Error Handling
| Error | Fallback |
|---|---|
| Estimates missing | Present fundamentals trend only; flag |
| Date uncertain | Use calendar's best estimate + annotate |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
References
contracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/knowledge-frameworks.md
© 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
Files
SKILL.md and 2 other files (references) in plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med of agentii-ai/agentii-investment-intelligence.
- SKILL.md
- references/knowledge-frameworks.md
- references/modes.md
Open the folder on GitHubat commit 86980e1
Compare with similar skills
Earnings Preview Med 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 Preview Med this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
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Questions about Earnings Preview Med
What does Earnings Preview Med do?
Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names. Earnings Preview Med is an agent skill from agentii-ai/agentii-investment-intelligence. Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.
When should I use Earnings Preview Med?
Earnings Preview Med fits situations like: tasks that involve Stock and market analysis.
How do I install Earnings Preview Med in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-preview-med -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med in agentii-ai/agentii-investment-intelligence) into .claude/skills/earnings-preview-med in your project. Claude Code loads it when a task matches its description.
How do I install Earnings Preview Med in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill earnings-preview-med -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med in agentii-ai/agentii-investment-intelligence) into .agents/skills/earnings-preview-med in your project. Codex loads it when a task matches its description.
Can I use Earnings Preview Med in Cursor, Gemini CLI or GitHub Copilot?
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-preview-med -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-preview-med, .gemini/skills/earnings-preview-med, .github/skills/earnings-preview-med and .opencode/skills/earnings-preview-med in your project.
What does Earnings Preview Med need to run?
SKILL.md names no scripts, command-line tools or credentials: Earnings Preview Med is instructions for the agent only.
Does Earnings Preview Med access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Earnings Preview Med safe to install?
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.
What licence does Earnings Preview Med use?
Earnings Preview Med 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.
How many tokens does Earnings Preview Med use?
About 1.5k tokens (SKILL.md is roughly 6k 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 856 tokens, read only when the agent opens those files.
What are the alternatives to Earnings Preview Med?
Skills that share tags, products or a category with Earnings Preview Med: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Earnings Preview Med?
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.