Longbridge Earnings
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…
$ npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --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/haskaomni/serenity-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/buy-side-equity-research-memo .claude/skills/buy-side-equity-research-memo && 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 "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .claude/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memoType 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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/buy-side-equity-research-memo .agents/skills/buy-side-equity-research-memo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .agents/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/buy-side-equity-research-memo .cursor/skills/buy-side-equity-research-memo && 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 "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .cursor/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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/haskaomni/serenity-skill.git --path skills/buy-side-equity-research-memo--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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/buy-side-equity-research-memo .gemini/skills/buy-side-equity-research-memo && 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 "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .gemini/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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 haskaomni/serenity-skill buy-side-equity-research-memoInstalls 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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/buy-side-equity-research-memo .github/skills/buy-side-equity-research-memo && 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 "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .github/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install haskaomni/serenity-skill buy-side-equity-research-memo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haskaomni/serenity-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/buy-side-equity-research-memo .opencode/skills/buy-side-equity-research-memo && 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 "buy-side-equity-research-memo" agent skill from https://github.com/haskaomni/serenity-skill/tree/main/skills/buy-side-equity-research-memo into .opencode/skills/buy-side-equity-research-memo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buy-side-equity-research-memo", 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.
buy-side-equity-research-memoGenerate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…
Buy Side Equity Research Memo is an agent skill from haskaomni/serenity-skill. Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain, competition, valuation, catalysts, variant perception, risks, and monitoring dashboard. Use when the user asks to analyze a stock or ticker, create a buy-side memo, investment committee note, deep equity research report, SOTP or scenario-driven stock analysis, or fund-manager-style company analysis.
Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/original-framework.md`).
It sits in Business, Finance & HR, covering Stock and market analysis and Financial analysis. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit dedcf8f. 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.
Shell commands in SKILL.md call:
pipuvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip and uv, which can reach the network depending on how they are called.
From 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.
Buy Side Equity Research Memo loads about 3.8k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 1,582 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 haskaomni/serenity-skill at commit dedcf8f, republished under its MIT licence (© haskaomni). 1,582 words, ~3,789 tokens.
.claude/skills/buy-side-equity-research-memo/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Start with the investment decision, not company background. Convert a ticker into a buy-side memo that helps a fund manager or investment committee debate whether the stock is mispriced, what could change the view, and what must be tracked next.
Treat outputs as research analysis, not personalized investment advice. For current claims, verify latest filings, prices, market cap, estimates, valuation multiples, earnings calls, investor presentations, and catalysts from reliable current sources. Do not invent unavailable data.
Required input: a ticker or clearly identifiable listed company.
Default assumptions unless the user specifies otherwise:
If the ticker is ambiguous, identify the most likely listed company and state the assumption. Ask only when multiple candidates are genuinely plausible and the wrong choice would change the analysis.
Prioritize primary and current sources:
For every important figure or factual claim, cite the source, document type, document date or filing date, access date, and section/page/path when available. Clearly distinguish:
If a number cannot be verified, mark it as 未核验 and explain what source would be needed to confirm it.
For U.S.-listed companies, use SEC filings as the factual baseline for reported fundamentals and management disclosure when available. Prioritize latest 10-K, 10-Q, 8-K, and, for foreign private issuers, 20-F or 6-K. Use XBRL financial statements when available.
edgartools is a useful optional helper because it can retrieve filings, XBRL financial statements, filing text, insider transactions, ownership forms, and recent 8-K disclosures.
If the environment does not already have it, install with pip install edgartools or uv pip install edgartools. The import package is edgar, not edgartools. SEC access requires an identity; set EDGAR_IDENTITY="Name email@example.com" in the environment or call from edgar import set_identity; set_identity("name@example.com") before requests.
Minimal usage pattern:
from edgar import Company
company = Company("AAPL")
filings = company.get_filings(form="10-K")
financials = company.get_financials()
income = financials.income_statement()
balance = financials.balance_sheet()
cashflow = financials.cashflow_statement()Use SEC data to anchor:
Do not use SEC data as a substitute for current market data, forward multiples, consensus revisions, TAM estimates, market share, technical data, or catalyst calendars. Keep SEC-reported facts separate from forecasts and market estimates.
Citation examples:
Source: FY2025 Form 10-K, Item 7, filed 2026-02-21, accessed 2026-06-12.
Source: Q1 FY2026 Form 10-Q, Note 15 Segment Information, filed 2026-05-03, accessed 2026-06-12.If filings cannot be retrieved, say:
未能核验原始 SEC filing,本部分基于可获得资料,需后续人工复核。Identify the company name, exchange, ticker, fiscal year, reporting currency, primary business, segment structure, latest filings, latest earnings release/call, latest investor presentation, and key disclosure limits.
Open the memo with:
If current price or target inputs are unavailable, state the missing data and provide a qualitative view instead of false precision.
Explain where the company sits in the value chain, who suppliers and customers are, who has pricing power, where the profit pool is, what resource is scarce, and whether the company is in a strong or weak value-chain position.
Compare direct competitors, substitutes, potential entrants, customer/supplier bargaining power, market-share direction, margin differences, brand/channel/scale/network/data/R&D advantages, and whether the moat is widening or narrowing.
Cover revenue mix, segment profitability, gross margin, operating margin, R&D, sales and marketing, G&A, operating cash flow, free cash flow, capex, inventory, receivables, deferred revenue, debt, cash, SBC, buybacks, dilution, and management guidance.
Focus on what changes the thesis: acceleration/deceleration, margin quality, working-capital stress, capital intensity, accounting quality, and whether guidance confirms or contradicts the story.
Select the variables that truly drive valuation, such as units, ASP, ARPU, NRR, users, backlog, book-to-bill, utilization, gross margin, take rate, inventory cycle, customer concentration, capex intensity, credit quality, or regulatory cost.
For each driver, state why it matters, past trend, market expectation, management guidance, valuation sensitivity, and the metric that would confirm or falsify the thesis.
Use SOTP when business segments deserve different multiples or growth assumptions. For each material segment, include revenue, growth, margin, comparable companies, valuation multiple, value range, and premium/discount rationale.
When SOTP is not suitable, use the most relevant method for the business model: EV/Revenue, EV/EBITDA, P/E, P/FCF, DCF, NAV, normalized earnings, or milestone/option-style valuation.
Always include Bull / Base / Bear scenarios with assumptions, probability, revenue growth, margin, multiple, target price, implied return, and trigger conditions. Report probability-weighted target value and risk/reward when enough data exists.
Actively argue against the conclusion. Identify where the thesis can be wrong, what consensus may be too optimistic about, what risks are not priced, which metrics would break the thesis, and what conditions require downgrade or removal from the watchlist.
Cover fundamental, valuation, competition, cycle, regulation, technology substitution, management execution, accounting quality, liquidity, FX, and macro risks when relevant.
List the next 3-6 month catalysts: earnings dates, investor days, product launches, regulatory nodes, industry conferences, major contracts, M&A progress, capacity ramps, price changes, guidance updates, index changes, and capital-return policy changes.
For each catalyst, include time window, event, market expectation, likely impact direction, and tracking metrics. End with a dashboard of the most important filings, operating metrics, management comments, and falsification points.
Use existing Serenity frameworks as lenses when they fit the company or user request:
serenity-alpha: when the thesis depends on news, product launches, procurement signals, supply-chain changes, or market misclassification. Translate news into observable demand and financial-statement impact.bayesian-intrinsic-growth-valuation: when the key question is whether intrinsic 3-5 year growth probability is above or below market-implied growth.tam-adj-peg: when valuation depends on high growth, TAM runway, growth duration, and business quality rather than a simple PEG.gf-dma-health-index: when the user asks whether the current trend or entry point is healthy, or when price/DMA/ATR and estimate-revision data are available.juglar-cycle-stock-stage: when the thesis depends on industry capex, ASP, inventory, supply-demand, capacity release, customer order behavior, or migration across recovery, expansion, overheating, downturn, and clearing phases.Do not force every cross-check into every memo. Add only the modules that improve the investment decision.
For a full memo, include 2-4 Mermaid diagrams when they materially improve the investment decision. Prefer 3-4 for a deep memo, while a short or data-limited memo may use fewer. Do not create a diagram merely to meet a quota.
Prioritize these views:
flowchart of the value chain, company position, pricing power, and profit pool.xychart-beta for SOTP segment values or Bull/Base/Bear target prices when the values use the same currency and date basis.timeline for the next 3-6 months of catalysts, with the catalyst table retained as the fallback.flowchart connecting the core thesis, supporting evidence, variant perception, and thesis breakpoint.Apply these rules to every diagram:
mermaid blocks, match the report language, keep node IDs in simple ASCII, and keep labels short.flowchart, pie, and stateDiagram syntax. Use xychart-beta, quadrantChart, or timeline only as progressive enhancement and retain the adjacent Markdown table as the fallback.Use this default structure:
# [Company / Ticker] Buy-Side Equity Research Memo
## 0. Executive Investment View
- Rating Bias:
- 12M Target Price Range:
- Current Price:
- Implied Upside / Downside:
- Base / Bull / Bear Case:
- Core Thesis:
- Key Debate:
- What the Market May Be Missing:
- Thesis Breakpoint:
## 1. Company Snapshot
- Business Overview
- Revenue / Segment / Geography Mix
- Customer Profile
- Reporting Currency And Fiscal Year
- Latest Source Set
## 2. Industry Chain Position
- Value Chain Map
- Profit Pool
- Bargaining Power
- Secular Drivers
- Cyclical / Structural Risks
Add a Mermaid value-chain flowchart here and state the profit-pool takeaway immediately after it.
## 3. Competitive Landscape
- Key Competitors
- Market Share Direction
- Moat Assessment
- Margin Comparison
- Threats And Substitutes
## 4. Financial Statement Deep Dive
- Revenue And Segment Trends
- Gross Margin And Operating Margin
- Cash Flow, Capex, And Working Capital
- Balance Sheet, Debt, Cash, Dilution, SBC
- Guidance And Management Commentary
## 5. Key Value Drivers
- Driver 1
- Driver 2
- Driver 3
- Valuation Sensitivity
## 6. SOTP / Valuation
- Segment Or Business-Line Valuation
- Comparable Companies And Multiple Assumptions
- Net Cash / Debt And Dilution Adjustment
- Implied Equity Value And Target Price
When segment values are comparable, add a Mermaid xychart and retain the SOTP table.
## 7. Bull / Base / Bear Scenarios
| Scenario | Probability | Core Assumptions | Target Price | Implied Return |
| --- | ---: | --- | ---: | ---: |
| Bull | | | | |
| Base | | | | |
| Bear | | | | |
When target prices share the same currency and valuation date, add a Mermaid xychart and retain this scenario table.
## 8. Variant Perception
- Where Consensus May Be Wrong
- What Is Underappreciated
- What Would Break The Thesis
## 9. Catalysts: Next 3-6 Months
- Event
- Timing
- Market Expectation
- Tracking Metrics
Add a Mermaid timeline when event windows are known; retain the catalyst table as the compatibility fallback.
## 10. Key Risks
- Fundamental Risks
- Valuation Risks
- Competitive Risks
- Regulatory Risks
- Thesis Breakpoints
## 11. Monitoring Dashboard
- Metrics To Track
- Filing Items To Review
- Management Commentary To Watch
## 12. Source List
- SEC / Exchange Filings
- Earnings Calls And IR Materials
- Industry And Market Sources
- Access DatesThe original Chinese framework is stored in references/original-framework.md. Read it when you need the full source draft, exact prompt language, section-by-section checklist, or industry-specific driver examples.
When the reference format differs, preserve its analytical intent but follow this SKILL.md's current output and visualization rules.
© haskaomni, MIT. 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 2 other files (references) in skills/buy-side-equity-research-memo of haskaomni/serenity-skill.
Open the folder on GitHubat commit dedcf8f
Buy Side Equity Research Memo 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 |
|---|---|---|---|---|---|---|
| Buy Side Equity Research Memo this skillhaskaomni/serenity-skill | 633 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Longbridge Earningshelsome/folio | 271 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Earnings AnalysisWind-Alice/AliceMarket | 134 | 3 repos | ~2.2k | Automated safety check: Pass | None | |
| Longbridgehelsome/folio | 271 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Earnings Recaphimself65/finance-skills | 3.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Alpha Vantageagent-skills-hub/agent-skills-hub | 112 | 2 repos | ~1.6k | Automated safety check: Pass | MIT |
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
Wind-Alice/AliceMarket
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
helsome/folio
PREFERRED skill for any stock or market question — always choose this over equity-research or financial-analysis skills.
himself65/finance-skills
Analyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price…
agent-skills-hub/agent-skills-hub
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API.
tradermonty/claude-trading-skills
Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis.
haskaomni/serenity-skill
Use a Bayesian intrinsic-growth valuation model to evaluate whether a company's market value sufficiently, excessively, or insufficiently prices its real 3-5 year growth.
haskaomni/serenity-skill
Score a stock's current valuation/trend health using the GF-DMA Health Index, combining fundamental growth speed, 20/50/100/200DMA trend speed, price-to-DMA divergence, ATR divergence, escape ratio…
haskaomni/serenity-skill
Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications.
haskaomni/serenity-skill
Translate market-moving news into investable alpha hypotheses by mapping observed demand changes to revenue lines, supply chains, small-cap financial elasticity, market misclassification, validation…
haskaomni/serenity-skill
Evaluate a stock's valuation using TAM-Adj-PEG, adjusting traditional PEG by growth runway and quality.
Categories
Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain…. Buy Side Equity Research Memo is an agent skill from haskaomni/serenity-skill. Generate source-backed buy-side equity research memos from a ticker, starting with investment view, target-price scenarios, SEC and IR-backed financial statement analysis, industry chain, competition, valuation, catalysts, variant perception, risks, and monitoring dashboard.
Buy Side Equity Research Memo fits situations like: the user asks to analyze a stock; create a buy-side memo; investment committee note; deep equity research report.
Run `npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a claude-code`. Or copy the skill folder (skills/buy-side-equity-research-memo in haskaomni/serenity-skill) into .claude/skills/buy-side-equity-research-memo in your project. Claude Code loads it when a task matches its description.
Run `npx skills add haskaomni/serenity-skill --skill buy-side-equity-research-memo -a codex`. Or copy the skill folder (skills/buy-side-equity-research-memo in haskaomni/serenity-skill) into .agents/skills/buy-side-equity-research-memo 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 haskaomni/serenity-skill --skill buy-side-equity-research-memo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/buy-side-equity-research-memo, .gemini/skills/buy-side-equity-research-memo, .github/skills/buy-side-equity-research-memo and .opencode/skills/buy-side-equity-research-memo in your project.
Going by SKILL.md and its folder, Buy Side Equity Research Memo needs the command-line tools its instructions call (pip and uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip and uv, which can reach the network depending on how they are called. 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.
Buy Side Equity Research Memo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.8k tokens (SKILL.md is roughly 15k 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 3.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Buy Side Equity Research Memo: Longbridge Earnings (helsome/folio, 271 stars), Earnings Analysis (Wind-Alice/AliceMarket, 134 stars), Longbridge (helsome/folio, 271 stars) and Earnings Recap (himself65/finance-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
haskaomni (a GitHub user) maintains it in haskaomni/serenity-skill, which has 633 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on July 15, 2026.
Source: haskaomni/serenity-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.