mint-recon
mint-recon is a Financial modelling & forecasting skill for AI agents, published by tonone-ai in the tonone repository on GitHub. Skillspace rates mint-recon B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Financial reconnaissance — audit current P&L, burn rate, runway, unit economics, and financial health to understand where the constraint is. Use when asked to "audit our finances", "what is our runway", "are our unit economics healthy", or "before building a financial model".
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 58
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Repo-internal: written for the repository it lives in. References this repo's own docs/output-kit.md and the 'Mint'/Operations Team persona
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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