Agent skill

Longbridge Earnings

by helsome in helsome/folio

Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.

No licenceAuto-check passedBusiness, Finance & HR

Install Longbridge Earnings

skills CLI
$ npx skills add helsome/folio --skill longbridge-earnings -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install helsome/folio longbridge-earnings --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/helsome/folio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/longbridge-earnings .claude/skills/longbridge-earnings && rm -rf skills-src

Use ~/.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/

Facts

Skill name
longbridge-earnings
GitHub stars
271
Used in
1 other repo
Token cost
~2.5k tokens
SKILL.md length
990 words
Files
6 (incl. scripts, references)
Skills in repo
13
Repo updated
First seen
Licence
None found

At a glance

Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.

  • Works in 8 steps: Header — [Company] ([Ticker]) —… → Core KPI table — 4-5 metrics: Reported /… → Revenue by segment — table with Unicode… → …
  • The user wants an earnings preview
  • SKILL.md covers Pre- or Post-earnings?, Post-earnings: Two Modes, Lite Mode (default path) and Full Report Mode, plus 3 more sections
  • Runs Python scripts from its folder; calls python3, python and claude; reaches mcp.longbridge.com

What it does

Longbridge Earnings is an agent skill from helsome/folio. Earnings analysis — pre- and post-earnings. Pre-earnings preview: prior-guidance review, recent-events tracking, last call's Q&A, and a key-things-to-watch framework for an upcoming release. Post-earnings: two tiers — a fast in-chat summary card (default) and a full Markdown research report (on request). Covers beat/miss, segments, margins, guidance, estimates, valuation. US / HK / A-share. Use whenever the user wants an earnings preview or a post-earnings / quarterly-results writeup. Triggers: "earnings update"…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `commands/earnings.md`, `references/full-report.md` and `references/pre-earnings.md`).

It sits in Business, Finance & HR, covering Financial analysis, Stock and market analysis and Deep research. It works with Longbridge and OpenAI. The repository describes itself as: 本地优先的 AI 投资研究工作台(AI investment research workbench),支持深度调研、证据化投资论点、投资组合风险分析、自选股与 Pi Agent 副驾驶。

When your agent uses it

  • The user wants an earnings preview
  • A post-earnings / quarterly-results writeup

Example prompts

  • “earnings update”
  • “quarterly results”
  • “Q1/Q2/Q3/Q4 results”
  • “/longbridge-earnings”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Header — [Company] ([Ticker]) — [Quarter] [Year] Earnings + one line: consensus rating, avg target price, current price, implied upside.
  2. Core KPI table — 4-5 metrics: Reported / YoY / vs Estimate (from CONSENSUS comp: beat_est → ✅ Beat, miss_est → ❌ Miss).
  3. Revenue by segment — table with Unicode █ share bars (from SEGMENTS).
  4. Quarterly trend — last 6-8 quarters of revenue + net margin (from INCOME_STATEMENT).
  5. Thesis status — 2-4 bullets, each tagged 🟢 Strengthened / 🟡 Maintained / 🟠 Weakened, grounded in the quarter's numbers.
  6. Street view — rating distribution + target price range (from INSTITUTION_RATING, FORECAST_EPS).
  7. Next-quarter consensus — what the Street expects next (from CONSENSUS unreleased periods).
  8. Risks — one line of inline-backtick tags.

What it can do on your machine

Read from SKILL.md and the folder at commit 3a17eca. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • python
    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.longbridge.com

    Also links to:

    • open.longbridge.com

    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

Longbridge Earnings loads about 2.5k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 225 tokens; SKILL.md has 990 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~225
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.2k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 990 words (~2,472 tokens).

“Do not trigger if: user wants an initiation report.”

— opening of SKILL.md by helsome
name
longbridge-earnings

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/longbridge-earnings of helsome/folio.

  • SKILL.md
  • commands/earnings.md
  • references/full-report.md
  • references/pre-earnings.md
  • references/valuation-methodologies.md
  • scripts/collect.py

Open the folder on GitHubat commit 3a17eca

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in helsome/folio, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Longbridge Earnings 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.

Longbridge Earnings compared with similar skills
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Trade Decision Gatekansoku-trade/kansoku328—~2kAutomated safety check: PassCustom licence
US Capital Rotation Scannerkansoku-trade/kansoku328—~1.9kAutomated safety check: PassCustom licence
Vibe-Trading Finance ToolkitHKUDS/Vibe-Trading35k—~6.5kAutomated safety check: PassMIT
Management Deep Divexbtlin/ai-berkshire17k—~1.7kAutomated safety check: PassMIT

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Questions about Longbridge Earnings

What does Longbridge Earnings do?

Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio. Longbridge Earnings is an agent skill from helsome/folio. Earnings analysis — pre- and post-earnings.

When should I use Longbridge Earnings?

Longbridge Earnings fits situations like: the user wants an earnings preview; A post-earnings / quarterly-results writeup.

How do I install Longbridge Earnings in Claude Code?

Run `npx skills add helsome/folio --skill longbridge-earnings -a claude-code`. Or copy the skill folder (skills/longbridge-earnings in helsome/folio) into .claude/skills/longbridge-earnings in your project. Claude Code loads it when a task matches its description.

How do I install Longbridge Earnings in Codex?

Run `npx skills add helsome/folio --skill longbridge-earnings -a codex`. Or copy the skill folder (skills/longbridge-earnings in helsome/folio) into .agents/skills/longbridge-earnings in your project. Codex loads it when a task matches its description.

Can I use Longbridge Earnings 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 helsome/folio --skill longbridge-earnings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/longbridge-earnings, .gemini/skills/longbridge-earnings, .github/skills/longbridge-earnings and .opencode/skills/longbridge-earnings in your project.

What does Longbridge Earnings need to run?

Going by SKILL.md and its folder, Longbridge Earnings needs Python for the scripts in its folder and the command-line tools its instructions call (python3, python and claude). Our summary lists: Python 3.

Does Longbridge Earnings access the network?

SKILL.md names 2 domains. In commands or code: mcp.longbridge.com; the agent is likely to contact it when it follows the instructions. As links in the text: open.longbridge.com. This is read from the text; nothing was executed.

Is Longbridge Earnings 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Longbridge Earnings use?

No licence was found for Longbridge Earnings or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Longbridge Earnings use?

About 2.5k tokens (SKILL.md is roughly 9.9k 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 6.8k tokens, read only when the agent opens those files.

What are the alternatives to Longbridge Earnings?

Skills that share tags, products or a category with Longbridge Earnings: Neodata Financial Search (infometa/workbuddyskills, 348 stars), Trade Decision Gate (kansoku-trade/kansoku, 328 stars), US Capital Rotation Scanner (kansoku-trade/kansoku, 328 stars) and Vibe-Trading Finance Toolkit (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Longbridge Earnings?

helsome (a GitHub user) maintains it in helsome/folio, which has 271 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 3, 2026.

Source: helsome/folio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.