Not in the top 1,000 by GitHub stars

Leexunhuan743/github-stars-curator

Codex skill for curating GitHub starred repositories into safe, meaningful GitHub Stars Lists.

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

View weekly changes

`SKILL.md`

Week of Oct 26, 2026 · +0 / −0 lines

Before Local scripts → After Local scripts

0fc4262ad8e0 → 0fc4262ad8e0

Compare on GitHub

View on GitHub Add to my skills

Verified commit 0fc4262ad8e0a9b834b089dd47eff02ffc64d4c5

22GitHub stars

0stars in 7 days

1skill in this repository

0commits in 30 days

Heat

0.3

Star growth, last 7 daysNot available
Star growth, last 24 hoursNot available
Rank movement, last 7 daysNot available
Commits, last 30 daysNot available
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

30-day change not yet available: not enough history.

Individual skills in this repository

github-stars-curator /

How it works

github-stars-curator

When your agent uses it

Organize starred GitHub repos into stable, clear lists: detect new stars, download READMEs into a local corpus, classify each repo against the taxonomy, and sync the approved mapping back to GitHub via gh. Use this when a user wants their starred repos sorted into lists, a recent batch of new stars filed incrementally, or their star-list taxonomy reviewed and refined. Do not use for general GitHub issue/PR management, repo code search, or bookmarking non-GitHub resources.

What it loads into context

Frontmatter

110 tokens

Always available to the agent

SKILL.md

3,372 tokens

When the skill is activated

Reference documents

17,196 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Taxonomy Scope
Preconditions
Default Workspace Layout
Workflow
Classification Rules
Scripts
References

Scripts executed separately

scripts/apply_user_lists.py
scripts/audit_cloud_drift.py
scripts/fetch_readmes.py
scripts/fetch_star_inventory.py
scripts/init_taxonomy.py
scripts/merge_classifications.py
scripts/reclassify_bucket.py
scripts/split_manifest.py
scripts/tests/conftest.py
scripts/tests/test_curator_scripts.py
scripts/write_classification.py

Files

.gitignoreasset103 bytes
LICENSEasset1,071 bytes
README.mddoc15,114 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
SKILL.mdcore15,528 bytes
agents/openai.yamlasset400 bytes
references/batch-classification-prompt-template.mddoc3,714 bytes
references/classification-ledger.schema.jsonasset1,836 bytes
references/github-graphql-notes.mddoc1,108 bytes
references/glossary.mddoc1,219 bytes
references/taxonomy-rubric.mddoc34,813 bytes
references/taxonomy-template.yamlasset4,163 bytes
references/workflow.mddoc20,184 bytes
scripts/apply_user_lists.pyruns45,472 bytes
scripts/audit_cloud_drift.pyruns6,844 bytes
scripts/fetch_readmes.pyruns11,069 bytes
scripts/fetch_star_inventory.pyruns7,128 bytes
scripts/init_taxonomy.pyruns1,892 bytes
scripts/merge_classifications.pyruns11,268 bytes
scripts/reclassify_bucket.pyruns6,930 bytes
scripts/split_manifest.pyruns7,360 bytes
scripts/tests/conftest.pyruns430 bytes
scripts/tests/test_curator_scripts.pyruns60,663 bytes
scripts/write_classification.pyruns14,532 bytes

Read SKILL.md


# GitHub Stars Curator

## Overview

This skill turns a pile of GitHub stars into a maintained catalog: local README corpus, enriched per-repo metadata, a curated taxonomy, and synchronized GitHub user lists.

Prefer this skill when the user says things like:

- "Sort my starred repos into lists." — full curation pass
- "Check what I starred recently and file the new ones." — incremental maintenance
- "Pull all starred repo READMEs locally, read them, and update the categories." — taxonomy and list review

Read references only when the task needs them:

View the complete source on GitHub

Skills included

github-stars-curator

Repository facts

License: MIT
Created: Jul 29, 2026
Last pushed: Sep 4, 2026
Forks: 0
Open issues: 0
Project activity: Slowing

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 8 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
No dangerous shell commands
15 network referencesin 3 files: README.md:25 references/classification-ledger.schema.json:1 scripts/tests/test_curator_scripts.py:156
No hidden or obfuscated text
No instruction overrides
11 executable scriptsin 11 files: scripts/apply_user_lists.py:1 scripts/audit_cloud_drift.py:1 scripts/fetch_readmes.py:1 and 8 more
No access to secrets
No requests to vote in Hot

Show all 26 signals by file

`README.md`

Network accessline 25

# Codex (Windows) git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.codex\skills\github-stars-curator"

Network accessline 26

git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.codex\skills\github-stars-curator"

Network accessline 28

# Claude Code git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.claude\skills\github-stars-curator"

Network accessline 29

git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.claude\skills\github-stars-curator"

Network accessline 31

# macOS / Linux (any SKILL.md-compatible agent) git clone https://github.com/Leexunhuan743/github-stars-curator.git ~/.claude/skills/github-stars-curator

Network accessline 32

git clone https://github.com/Leexunhuan743/github-stars-curator.git ~/.claude/skills/github-stars-curator

Network accessline 137

# Codex (Windows) git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.codex\skills\github-stars-curator"

Network accessline 138

git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.codex\skills\github-stars-curator"

Network accessline 140

# Claude Code git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.claude\skills\github-stars-curator"

Network accessline 141

git clone https://github.com/Leexunhuan743/github-stars-curator.git "$env:USERPROFILE\.claude\skills\github-stars-curator"

Network accessline 143

# macOS / Linux（任何兼容 SKILL.md 的 agent） git clone https://github.com/Leexunhuan743/github-stars-curator.git ~/.claude/skills/github-stars-curator

Network accessline 144

git clone https://github.com/Leexunhuan743/github-stars-curator.git ~/.claude/skills/github-stars-curator

`references/classification-ledger.schema.json`

Network accessline 1

{   "$schema": "https://json-schema.org/draft/2020-12/schema",

Network accessline 2

"$schema": "https://json-schema.org/draft/2020-12/schema",

`scripts/apply_user_lists.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/audit_cloud_drift.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/fetch_readmes.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/fetch_star_inventory.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/init_taxonomy.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/merge_classifications.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/reclassify_bucket.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/split_manifest.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/tests/conftest.py`

Executable scriptline 1
```
Executable file
```

`scripts/tests/test_curator_scripts.py`

Executable scriptline 1
```
Executable file
```

Network accessline 156

# --only-new-from must actually restrict the fetch (discriminating assert)

`scripts/write_classification.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 24 facts

Network access in code of documentationREADME.md:25Low confidence
Network access in code of documentationREADME.md:26Low confidence
Network access in code of documentationREADME.md:28Low confidence
Network access in code of documentationREADME.md:29Low confidence
Network access in code of documentationREADME.md:31Low confidence
Network access in code of documentationREADME.md:32Low confidence
Network access in code of documentationREADME.md:137Low confidence
Network access in code of documentationREADME.md:138Low confidence
Network access in code of documentationREADME.md:140Low confidence
Network access in code of documentationREADME.md:141Low confidence
Network access in code of documentationREADME.md:143Low confidence
Network access in code of documentationREADME.md:144Low confidence
Executable script in code of a file that runsscripts/apply_user_lists.py:1High confidence
Executable script in code of a file that runsscripts/audit_cloud_drift.py:1High confidence
Executable script in code of a file that runsscripts/fetch_readmes.py:1High confidence
Executable script in code of a file that runsscripts/fetch_star_inventory.py:1High confidence
Executable script in code of a file that runsscripts/init_taxonomy.py:1High confidence
Executable script in code of a file that runsscripts/merge_classifications.py:1High confidence
Executable script in code of a file that runsscripts/reclassify_bucket.py:1High confidence
Executable script in code of a file that runsscripts/split_manifest.py:1High confidence
Executable script in prose of a testscripts/tests/conftest.py:1Low confidence
Executable script in code of a testscripts/tests/test_curator_scripts.py:1Low confidence
Network access in a comment of a testscripts/tests/test_curator_scripts.py:156Low confidence
Executable script in code of a file that runsscripts/write_classification.py:1High confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Leexunhuan743/github-stars-curator

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

github-stars-curator

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

README.md

references/classification-ledger.schema.json

scripts/apply_user_lists.py

scripts/audit_cloud_drift.py

scripts/fetch_readmes.py

scripts/fetch_star_inventory.py

scripts/init_taxonomy.py

scripts/merge_classifications.py

scripts/reclassify_bucket.py

scripts/split_manifest.py

scripts/tests/conftest.py

scripts/tests/test_curator_scripts.py

scripts/write_classification.py

How the signals fit together

Works with

You might also use

addyosmani/agent-skills

ComposioHQ/awesome-claude-skills

blader/humanizer

OthmanAdi/planning-with-files

titanwings/distilly

KKKKhazix/khazix-skills

`SKILL.md`

`README.md`

`references/classification-ledger.schema.json`

`scripts/apply_user_lists.py`

`scripts/audit_cloud_drift.py`

`scripts/fetch_readmes.py`

`scripts/fetch_star_inventory.py`

`scripts/init_taxonomy.py`

`scripts/merge_classifications.py`

`scripts/reclassify_bucket.py`

`scripts/split_manifest.py`

`scripts/tests/conftest.py`

`scripts/tests/test_curator_scripts.py`

`scripts/write_classification.py`