Equity Research Core
byteseek/Mira
Run Mira's core single-equity research workflow across fundamentals, financial quality, macro context, technical pricing, events, and thesis framing.
Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle.
$ npx skills add lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lucy-cxy/oss-investment-scorecard oss-investment-scorecard --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .claude/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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.
$ npx skills add lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lucy-cxy/oss-investment-scorecard oss-investment-scorecard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .agents/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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 lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lucy-cxy/oss-investment-scorecard oss-investment-scorecard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .cursor/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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.
$ npx skills add lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lucy-cxy/oss-investment-scorecard oss-investment-scorecard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .gemini/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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 lucy-cxy/oss-investment-scorecard oss-investment-scorecardInstalls 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 lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .github/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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 lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lucy-cxy/oss-investment-scorecard oss-investment-scorecard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "oss-investment-scorecard" agent skill from https://github.com/lucy-cxy/oss-investment-scorecard/tree/main into .opencode/skills/oss-investment-scorecard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oss-investment-scorecard", 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.
oss-investment-scorecardEvaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle.
Oss Investment Scorecard is an agent skill from lucy-cxy/oss-investment-scorecard. Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle. ALWAYS use this skill when the user asks any of the following: - "evaluate [project] for investment" - "can we invest in [project]" - "score this open source company" - "投资评估 [项目]" - "这个开源项目值得投吗" - "给 [公司] 打分" - Any request to assess, rate, or rank an open source startup's investability - Any comparison of two or more open source companies from an investment perspective The skill produces a…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including reference files (for example `.github/ISSUE_TEMPLATE/framework-change.md`, `.github/ISSUE_TEMPLATE/submit-evaluation.md` and `.github/labels.yml`).
It sits in Business, Finance & HR, covering Essays and academic help. The repository describes itself as: A structured 5-dimension scoring framework for evaluating open-source AI projects from a VC investment perspective. Maintained by Lucy Chen, EIR at Zoo Capital (Singapore, $2B+…
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 28a210d. 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.
No URLs in SKILL.md.
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.
Oss Investment Scorecard loads about 2.5k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 189 tokens; SKILL.md has 1,170 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,170 words (~2,498 tokens).
“Produce a rigorous, consistent, reusable investment evaluation for any open source project/company being considered by a USD VC fund — specifically calibrated for the AI technology acceleration cycle (2023-onwards).”
SKILL.md and 14 other files (references) in the repository root of lucy-cxy/oss-investment-scorecard.
Open the folder on GitHubat commit 28a210d
Oss Investment Scorecard 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 |
|---|---|---|---|---|---|---|
| Oss Investment Scorecard this skilllucy-cxy/oss-investment-scorecard | 341 | — | ~2.5k | Automated safety check: Pass | None | |
| Equity Research Corebyteseek/Mira | 275 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Weekly Trading Planzhu1090093659/dsh-trading | 238 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Earnings Report Analysisbyteseek/Mira | 275 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Xvary Stock Researchsickn33/agentic-awesome-skills | 47k | 2 repos | ~952 | Automated safety check: Pass | MIT | |
| Research Report Interpretationbyteseek/Mira | 275 | — | ~3k | Automated safety check: Pass | Apache-2.0 |
byteseek/Mira
Run Mira's core single-equity research workflow across fundamentals, financial quality, macro context, technical pricing, events, and thesis framing.
zhu1090093659/dsh-trading
制定每周交易计划:把本周复盘、统一台账持仓与资金、市场消息与公告、facts/ 与知识库、假设档案(hypothesistracking / 持仓 thesis / 宏观管道状态)合成一份下周计划,逐条过六道闸门并给出双向预案与失效条件。当用户要求「制定本周/下周交易计划」「周度作战计划」「把复盘+持仓+消息+知识库合成计划」,或周末例行生成计划时调用。
byteseek/Mira
Analyze earnings releases, filings, transcripts, guidance, peer comparisons, market reaction, and thesis impact for a company reporting event.
sickn33/agentic-awesome-skills
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
byteseek/Mira
Interpret sell-side, institutional, expert, or investor research by extracting claims, assumptions, valuation drivers, verification needs, and thesis impact.
sickn33/agentic-awesome-skills
A trading journal that captures the decision, not just the fill: thesis, plan, and emotion at the moment of entry, written to the user's own Notion database; reviews grade decisions, not P&L.
Categories
Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle. Oss Investment Scorecard is an agent skill from lucy-cxy/oss-investment-scorecard. Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle.
Oss Investment Scorecard fits situations like: rank an open source startups investability - Any comparison of two; more open source companies from an investment perspective The skill produces a structured 5-dimension weighted scorecard (max 10 pts); A pass/recommend/watch verdict; an IC-ready one-paragraph thesis.
Run `npx skills add lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a claude-code`. Or copy the skill folder (the lucy-cxy/oss-investment-scorecard repository) into .claude/skills/oss-investment-scorecard in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a codex`. Or copy the skill folder (the lucy-cxy/oss-investment-scorecard repository) into .agents/skills/oss-investment-scorecard 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 lucy-cxy/oss-investment-scorecard --skill oss-investment-scorecard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oss-investment-scorecard, .gemini/skills/oss-investment-scorecard, .github/skills/oss-investment-scorecard and .opencode/skills/oss-investment-scorecard in your project.
SKILL.md names no scripts, command-line tools or credentials: Oss Investment Scorecard is instructions for the agent only.
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.
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.
No licence was found for Oss Investment Scorecard or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.5k tokens (SKILL.md is roughly 10k 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 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Oss Investment Scorecard: Equity Research Core (byteseek/Mira, 275 stars), Weekly Trading Plan (zhu1090093659/dsh-trading, 238 stars), Earnings Report Analysis (byteseek/Mira, 275 stars) and Xvary Stock Research (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.
lucy-cxy (a GitHub user) maintains it in lucy-cxy/oss-investment-scorecard, which has 341 GitHub stars. The repository was last updated on April 25, 2026.
Source: lucy-cxy/oss-investment-scorecard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.