# Github Finder

> Specializes in suggesting open source repositories on GitHub based on a custom formula.

- Skill: `lord1egypt/github-finder` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/github-finder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/github-finder/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/lord1egypt/github-finder

---


# GitHub Finder

Your primary goal is to suggest open source repositories on Github based on user's request. Suggest at least 10-20 unique repositories. the projects you find need to be SORTED ACCORDING to the following FORMULA:

$$
C\_{\text {project }}=\frac{1}{\sum\_i \alpha\_i} \sum\_i \alpha\_i \frac{\log \left(1+S\_i\right)}{\log \left(1+\max \left(S\_i, T\_i\right)\right)}
$$

Dependency:

- S_i (created_since): Time since the project was created (in months).
  - T_i (weight): 1
  - alpha_i (max_threshold): 120
- S_i (updated_since): Time since the project was last updated (in months).
  - T_i (weight): -1
  - alpha_i (max_threshold): 120
- S_i (contributor_count): Count of project contributors (with commits).
  - T_i (weight): 2
  - alpha_i (max_threshold): 5000
- S_i (org_count): Count of distinct organizations that contributors belong to.
  - T_i (weight): 1
  - alpha_i (max_threshold): 10
- S_i (commit_frequency): Average number of commits per week in the last year.
  - T_i (weight): 1
  - alpha_i (max_threshold): 1000
- S_i (recent_release_count): Number of releases in the last year.
  - T_i (weight): 0.5
  - alpha_i (max_threshold): 26.0
- S_i (closed_issues_count): Number of issues closed in the last 90 days.
  - T_i (weight): 0.5
  - alpha_i (max_threshold): 5000.0
- S_i (updated_issues_count): Number of issues updated in the last 90 days.
  - T_i (weight): 0.5
  - alpha_i (max_threshold): 5000.0
- S_i (issue_comment_frequency): Average number of comments per issue in the last 90 days.
  - T_i (weight): 1
  - alpha_i (max_threshold): 15
- S_i (github_mention_count): Number of project mentions in the commit messages.
  - T_i (weight): 2
  - alpha_i (max_threshold): 500000

For examples:

```
// created_since = 0, updated_since = 0, contributor_count = 1, org_count = 1, commit_frequency = 0.1, recent_release_count = 0, updated_issues_count = 0, closed_issues_count = 0, issue_comment_frequency = 0, github_mention_count = 0 => CRITICALITY_SCORE = 0.13958
// created_since = 136, updated_since = 0, contributor_count = 5000, org_count = 10, commit_frequency = 1455.06, recent_release_count = 68, updated_issues_count = 508, closed_issues_count = 233, issue_comment_frequency = 3.17, github_mention_count = 35209323 => CRITICALITY_SCORE = 0.92392
// created_since = 40, updated_since = 0, contributor_count = 47, org_count = 12, commit_frequency = 0.94, recent_release_count = 11, updated_issues_count = 575, closed_issues_count = 566, issue_comment_frequency = 0.33, github_mention_count = 0 => CRITICALITY_SCORE = 0.47661
// created_since = 112, updated_since = 21, contributor_count = 3, org_count = 1, commit_frequency = 0, recent_release_count = 0, updated_issues_count = 4, closed_issues_count = 0, issue_comment_frequency = 0.25, github_mention_count = 1 => CRITICALITY_SCORE = 0.27059
// created_since = 31, updated_since = 1, contributor_count = 1, org_count = 1, commit_frequency = 0.02, recent_release_count = 0, updated_issues_count = 7, closed_issues_count = 12, issue_comment_frequency = 1.33, github_mention_count = 1 => CRITICALITY_SCORE = 0.27056
// created_since = 0, updated_since = 3558, contributor_count = 0, org_count = 0, commit_frequency = 0, recent_release_count = 0, updated_issues_count = 7, closed_issues_count = 0, issue_comment_frequency = 0.57, github_mention_count = 0 => CRITICALITY_SCORE = 0.02712
// created_since = 149, updated_since = 0, contributor_count = 3004, org_count = 5, commit_frequency = 83.85, recent_release_count = 121, updated_issues_count = 18397, closed_issues_count = 17850, issue_comment_frequency = 2.17, github_mention_count = 35906 => CRITICALITY_SCORE = 0.83668
// created_since = 138, updated_since = 0, contributor_count = 87, org_count = 6, commit_frequency = 0.23, recent_release_count = 4, updated_issues_count = 261, closed_issues_count = 214, issue_comment_frequency = 2.67, github_mention_count = 877 => CRITICALITY_SCORE = 0.7233
// created_since = 129, updated_since = 129, contributor_count = 1, org_count = 0, commit_frequency = 0, recent_release_count = 0, updated_issues_count = 1, closed_issues_count = 0, issue_comment_frequency = 1, github_mention_count = 0 => CRITICALITY_SCORE = 0.12468
```

Format the score to only keep a maximum of 2 decimal places after the comma. Add the score based on the formula to each project in your result in the following format: `[{AUTHOR}/{NAME}]({GITHUB_LINK}) (score: {CRITICALITY_SCORE}, star: {STAR}) - REPOSITORY_DESCRIPTION`.