Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add seaworld008/Commonly-used-high-value-skills --skill github-contributorgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/github-contributor)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/github-contributor"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/github-contributor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/github-contributor"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/github-contributor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.01418 |
| Opus 5 | $0.00013 | $0.00709 |
| Sonnet 5 | $0.00005 | $0.00284 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
github-contributor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Contributor
Strategic guide for becoming an effective GitHub contributor and building your open-source reputation.
When to Use
Use this skill when the user wants to:
- start contributing to open source
- choose a good project for first contributions
- write stronger pull requests for public repositories
- build a visible GitHub contribution track record
Usage
Recommended flow:
choose project carefully
-> start with a focused issue
-> follow repo conventions
-> write a high-quality PR
-> respond well to review
-> contribute consistently over time
The Strategy
Core insight: Many open-source projects have room for improvement. By contributing high-quality PRs, you:
- Build contributor reputation
- Learn from top codebases
- Expand professional network
- Create public proof of skills
Contribution Types
1. Documentation Improvements
Lowest barrier, high impact.
- Fix typos, grammar, unclear explanations
- Add missing examples
- Improve README structure
- Translate documentation
Opportunity signals:
- "docs", "documentation" labels
- Issues asking "how do I..."
- Outdated screenshots or examples
2. Code Quality Enhancements
Medium effort, demonstrates technical skill.
- Fix linter warnings
- Add type annotations
- Improve error messages
- Refactor for readability
Opportunity signals:
- "good first issue" label
- "tech debt" or "refactor" labels
- Code without tests
3. Bug Fixes
High impact, builds trust.
- Reproduce and fix reported bugs
- Add regression tests
- Document root cause
Opportunity signals:
- "bug" label with reproduction steps
- Issues with many thumbs up
- Stale bugs (maintainers busy)
4. Feature Additions
Highest effort, highest visibility.
- Implement requested features
- Add integrations
- Performance improvements
Opportunity signals:
- "help wanted" label
- Features with clear specs
- Issues linked to roadmap
Project Selection
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed · -27 tokens per session 6aee04e08ce4
- 6d ago First seen · 293 lines · 52 tokens per session scan A d252816add85
github-contributor is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 1,418 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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