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earnings-analysis vs gh-fix-ci
Which agent skill is right for you?
Notable score gap. earnings-analysis scores meaningfully higher; see individual reviews for nuance.
01 — TL;DR
If you need output specificity above all else, pick earnings-analysis (4.4/5). gh-fix-ci (3.4/5) is a reasonable alternative if you're already in its source ecosystem. They overlap in agent skill territory.
Side by side
4.4/5
3.4/5
Where they differ
- Trigger clarity. trigger clarity: earnings-analysis and gh-fix-ci score essentially the same (4.5 vs 4.5). Neither has an edge here.
- Output specificity. output specificity: earnings-analysis is clearly stronger (4.5 vs 4.0). For workloads where this dimension matters, prefer earnings-analysis.
- Scope precision. scope precision: earnings-analysis and gh-fix-ci score essentially the same (4.5 vs 4.5). Neither has an edge here.
- Self-containment. self-containment: earnings-analysis is clearly stronger (4.5 vs 4.0). For workloads where this dimension matters, prefer earnings-analysis.
- Reusability. reusability: earnings-analysis and gh-fix-ci score essentially the same (3.5 vs 3.5). Neither has an edge here.
Which to pick
When to choose earnings-analysis
- Your workload emphasizes output specificity — earnings-analysis scores 4.5 vs 4.0 here.
- Your workload emphasizes self-containment — earnings-analysis scores 4.5 vs 4.0 here.
- You weight community adoption — earnings-analysis's upstream repo has 33,195 stars vs 19,581.
When to choose gh-fix-ci
- You prefer the official source — gh-fix-ci comes from github:openai/skills, earnings-analysis from skillsmp.com.
- The agent skill convention you're working in matches gh-fix-ci's scope.
Scenario by scenario
| Scenario | Winner | Why |
|---|---|---|
| Agent must auto-select between many agent skills | either | Trigger clarity decides — clearer triggers reduce routing errors. |
| Output must be a specific file format or structured data | earnings-analysis | Output specificity determines whether downstream tools can rely on the result. |
| Skill must be readable and complete out of the box | earnings-analysis | Self-containment matters when you're not the original author. |
| Cross-team or cross-project reuse expected | either | Reusability separates one-off scripts from durable building blocks. |
Common questions
- Which is better, earnings-analysis or gh-fix-ci?
- earnings-analysis ranks higher overall (4.4 vs 3.4 on our 0–5 rubric). That said, the better choice depends on which dimensions matter most for your use case.
- Are earnings-analysis and gh-fix-ci both free to use?
- Both skills are free and open-source (or freely licensed). earnings-analysis: See source repo. gh-fix-ci: See source repo. Installation has no cost; usage costs depend on the underlying LLM tokens consumed when you invoke the skill.
- Can I install both earnings-analysis and gh-fix-ci at the same time?
- Yes. Agent skills are not exclusive — an agent runtime (Claude Code, Codex, etc.) can have many skills installed and route to whichever matches the current task. Installing both is a low-cost way to keep your options open.
- Where do these skills come from?
- earnings-analysis is sourced from skillsmp.com (curated marketplace). gh-fix-ci is sourced from github:openai/skills (official). We verify each skill across multiple sources where possible; earnings-analysis appears in 1 source, gh-fix-ci in 1.