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 OpenClaudia/openclaudia-skills --skill github-starsgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/github-stars)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/github-stars"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/github-stars/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/openclaudia/openclaudia-skills/github-stars"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/github-stars.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 | $0.00074 | $0.00934 |
| Opus 5 | $0.00037 | $0.00467 |
| Sonnet 5 | $0.00015 | $0.00187 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
github-stars 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 9d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
github-stars
Fetch a repo's per-star timestamps from the GitHub API and render two ASCII charts in the terminal: stars by day and stars by hour (for the most recent day(s)). Useful for tracking a launch, a Show HN / Product Hunt spike, or DevRel growth.
Requirements
- The
ghCLI installed and authenticated (gh auth status). Unauthenticated calls hit a low rate limit and large repos fail mid-pagination. - Python 3.9+ (uses the stdlib
zoneinfofor correct DST handling).
How it works
The script calls gh api with the application/vnd.github.star+json Accept header, which adds a starred_at timestamp to each stargazer. It paginates through all stargazers, converts each timestamp to the target timezone, and buckets them by day and by hour.
Usage
The script lives next to this file. From the skill directory:
bash github-stars.sh <owner/repo | search-term> [--tz <IANA tz>] [--days N] [--hours-days N]
<owner/repo>— exact repo (e.g.facebook/react). Skips the search.<search-term>— a bare word (no/) is resolved to the top repo by stars.--tz— IANA timezone for all buckets. DefaultAmerica/Los_Angeles. Use e.g.UTC,America/New_York,Asia/Shanghai,Europe/Berlin.--days N— how many recent days to show in the daily chart (default 14).--hours-days N— how many recent days to break out hourly (default 2).
Examples
# default: last 14 days daily + last 2 days hourly
bash github-stars.sh vercel/next.js
# resolve a search term, show UTC
bash github-stars.sh next.js --tz UTC
# zoom in: only today hourly, 7-day daily window
bash github-stars.sh facebook/react --days 7 --hours-days 1
Sample output
owner/repo — 284 stars (with timestamps)
newest: 2026-06-15 02:03 PM PDT | now: 2026-06-15 02:11 PM PDT
STARS BY DAY (PDT)
2026-06-13 16 █████████
2026-06-14 69 ████████████████████████████████████████ ← peak
2026-06-15 22 █████████████
STARS BY HOUR — 2026-06-15 (PDT) total 22
06:00 5 ██████████████████████████████
07:00 2 ████████████
14:00 2 ████████████
What ships with it
1 file 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.
- 9d ago First seen · 72 lines · 74 tokens per session scan A 7409d9a80929
github-stars is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (682 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 934 once invoked, about $0.0004 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 2026-08-30.
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