OSS Investment Scorecard skill
A rubric skill that scores an open source project like an investor: five dimensions, hard vetoes and an owner diagnostic mode.
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- Last commit
Minimal access
Why this level
- The score relies on public repository data and is not financial advice
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/oss-investment-scorecardDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewMinimal accessThe tool runs nothing and makes no network calls.
- The score relies on public repository data and is not financial advice
This is third-party code. Review the repository files before installing.
What it does
OSS Investment Scorecard, a structured weighted rubric in `SKILL.md`, scores open source projects in the AI cycle on five dimensions. Two roles use the same scoring rules. In owner mode the agent shows the weakest dimension, three questions an investor will ask and three steps for the next 90 days; in investor mode it gives a verdict and an investment committee thesis. Version 1.4 keeps four hard vetoes while other signals became risk flags that are only recorded. The scale is anchored by two real cases kept in `cases/`. The judgment and trust observation log does not yet affect the score, and the limitations are written in the README.
Who it is for. Open source maintainers who want to see how their project looks to an investor, and analysts who assess such projects.
Good fit when
- The project has a product and users and you need a view of its weakest dimension before talking to an investor.
- You need a thesis and verdict on someone else's project for discussion.
- You want to check a score against worked cases.
- You need to decide what to do in the next three months.
Not a fit when
- You need an investment recommendation: the skill does not replace a licensed adviser.
- The project is closed source or unrelated to AI.
- You need exact return forecasts.
Example request
Score my open source project with the rubric in owner mode: the weakest dimension, three investor questions and three steps for 90 days.Limitations
The weights and thresholds, the author admits, rest on practitioner judgment and have not yet been back-tested. The rubric targets AI-cycle projects and fits other areas less well. It is an analysis aid, not financial advice. The score depends on public data at the time of the run. The rubric knows nothing about private metrics, revenue or contracts, which the owner must supply. Before use, check the repository's current state and the version you rely on.
How to disable. Delete `SKILL.md` and the related rubric files from the agent skills directory.
FAQ
How do the modes differ?
The scores are identical. The owner gets a diagnosis and a 90-day plan, the investor a verdict and thesis.
What is a veto?
Four hard rejection conditions. Everything else in v1.4 is recorded as risk flags and does not disqualify on its own.
Where does the scale come from?
It is anchored by two real cases: vLLM with Inferact and Hugging Face, with write-ups in `cases/`.
Can the score be trusted?
The README states plainly that the weights are not back-tested. Treat it as a working hypothesis.
What is new in v1.4?
One rulebook with four vetoes, an owner mode, a judgment and trust observation log and removal of Fork Rate from Star Health.
Discussion
No questions or reviews yet.
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README in short
One rubric across five dimensions, four hard vetoes and an honest list of known limitations. Owner and investor modes give the same scores.