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 agentmods add skills/ob-labs/agentseek/github-repo-cardsnpx skills add ob-labs/agentseek --skill github-repo-cardsgit clone --depth 1 https://github.com/ob-labs/agentseekWrote 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/ob-labs/agentseek/github-repo-cards)<a href="https://agentmods.dev/skills/ob-labs/agentseek/github-repo-cards"><img src="https://agentmods.dev/badge/skills/ob-labs/agentseek/github-repo-cards.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00043 | $0.00520 |
| Opus 5 | $0.00022 | $0.00260 |
| Sonnet 5 | $0.00009 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
github-repo-cards 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 6d 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.
What it actually says
GitHub Repo Cards
Generate beautiful GitHub-style SVG card images for repositories or trending projects, then convert them to PNG.
Capabilities
-
Repo Card — given
<org>/<repo>, produce a card showing:- Basic info (name, description, language, license)
- Star & commit activity sparkline
- Top N contributors (avatars + commit counts)
- A customisable "analysis" text block
-
Trending Card — fetch today's trending repos and render a list card with:
- Repo name, description, language badge
- Star / fork counts
- Recent commit activity sparkline (mini bar chart)
Workflows
Generate a Repo Card
uv run scripts/gh_repo_card.py <org>/<repo> [--top-n 5] [--analysis "Your analysis text here"] [--output card.svg]
The script path is relative to this skill directory:
skills/github-repo-cards/scripts/gh_repo_card.py
This will:
- Call
ghto fetch repo metadata, stargazer counts, commit activity, and top contributors. - Render an SVG card with all the information.
- Convert the SVG to PNG via
rsvg-convert(falls back to ImageMagickconvert).
Generate a Trending Card
uv run scripts/gh_trending_card.py [--language python] [--since daily] [--limit 10] [--output trending.svg]
The script path is relative to this skill directory: scripts/gh_trending_card.py
This will:
- Scrape GitHub trending page (or use
gh apisearch with recent star sorting). - Render a multi-row SVG list card.
- Convert to PNG.
Output
SVG and PNG files are written to the current working directory (or the path given by --output). The PNG file shares the same base name.
Requirements
ghCLI authenticated (gh auth status)rsvg-convert(librsvg) or ImageMagickconvertfor SVG→PNG- Python ≥ 3.12, run via
uv run(PEP 723 inline metadata)
What ships with it
2 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.
- 6d ago First seen · 61 lines · 43 tokens per session scan A 77a1bb4095ac
github-repo-cards is a skill published in the GitHub repository ob-labs/agentseek (175 stars, last pushed 3d ago), licensed Apache-2.0. It adds 43 tokens to every session and 520 once invoked, about $0.0002 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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