Repository
FinanceFlash/unvibecode agent skills
- skill
- 1
- GitHub stars
- 160
GitHub description: “Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.”
- Stars
- 160 (65 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Aug 2026
- business-logic
- code-analysis
- code-understanding
- codebase-analysis
- codebase-understanding
- developer-tools
- source-code-analysis
- vibe-coding
- ai-system-design
Install all skills
npx skills add FinanceFlash/unvibecodeAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in FinanceFlash/unvibecode, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Review RAG designs or accessible implementations for extraction failures, deterministic facts, evidence routing, source versioning, code retrieval, and memory boundaries. | FinanceFlash/ | 160 | — | ~766 | Automated safety check: Pass | Apache-2.0 | yesterday |
Questions, answered from the data.
What is the best skill in FinanceFlash/unvibecode?
Unvibecode RAG Review from FinanceFlash/unvibecode ranks first of the 1 skills in FinanceFlash/unvibecode listed here, with the highest score: its repository has 160 GitHub stars, its SKILL.md loads about 766 tokens and it passes the automated safety check with no findings.
Are the skills in FinanceFlash/unvibecode official?
None yet. All 1 skills in FinanceFlash/unvibecode listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from FinanceFlash/unvibecode?
Run npx skills add FinanceFlash/unvibecode in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.