Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Rheinmir/setupnpx agentmods add skills/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shellWrote 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/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shell)<a href="https://agentmods.dev/skills/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shell"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shell/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/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shell"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-scientific-agent-skills-chay-script-bundled-tu-shell.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00087 | $0.02381 |
| Opus 5.5 | $0.00035 | $0.00952 |
| Sonnet 5.5 | $0.00017 | $0.00476 |
| Haiku 4.5 | $0.00009 | $0.00238 |
Grade A, and why
dym-scientific-agent-skills-chay-script-bundled-tu-shell 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 yesterday.
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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: dym-scientific-agent-skills-chay-script-bundled-tu-shell — Chạy script bundled thẳng từ shell (không cần agent)
Mọi thứ trong file này gõ vào terminal. Prompt cho agent nằm ở 03-dung-skill-trong-agent.md.
Vì sao dùng: 105/163 skill mang thư mục scripts/, và 90 skill trong số đó có script viết bằng argparse. Đây là CLI thật, chạy tất định, không tốn token — dùng được trong Makefile, cron, CI, hoặc chỉ để kiểm nhanh mà không mở agent.
Sinh ra cái gì: JSON/TSV trên stdout hoặc file do -o chỉ định, cộng một exit code mà bạn bắt buộc phải branch.
Tìm script chạy được
# skill nào có scripts/
ls -d skills/*/scripts | cut -d/ -f2
# script nào là CLI argparse
grep -l argparse skills/*/scripts/*.py | head -20
# mọi script argparse đều trả lời --help (đây là hợp đồng CI của repo)
python skills/paper-lookup/scripts/paginate.py --help
Hợp đồng "--help luôn chạy" không phải lời hứa suông: tests/_contract/cli.py sinh test case cho mọi script argparse trong repo, và tests/_meta chạy nó lên toàn bộ 163 skill trong mỗi PR.
Ví dụ 1 — chuyển toạ độ genomic (thuần stdlib, offline, đã chạy thật)
python skills/genomic-coordinates/scripts/convert_coords.py --list
python skills/genomic-coordinates/scripts/convert_coords.py chr1 1000 2000 --from bed --to gff
Output thật:
contig input output length status detail
chr1 1000-2000 1001-2000 1000 ok
Và bảng quy ước từ --list:
format convention notes
bed 0-based half-open BED3/6/12, narrowPeak, broadPeak
gff 1-based inclusive GFF3
gtf 1-based inclusive GTF/GFF2, GENCODE, Ensembl
vcf 1-based inclusive POS..POS+len(REF)-1
sam 1-based inclusive SAM text POS (BAM stores it 0-based)
interval-list 1-based inclusive Picard/GATK
Script cùng skill: audit_intervals.py, check_contigs.py, normalize_variant.py. Cả bốn chỉ dùng thư viện chuẩn — không cài gì thêm.
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.
- yesterday First seen · 171 lines · 87 tokens per session scan A 3103f84adeba
dym-scientific-agent-skills-chay-script-bundled-tu-shell is a skill published in the GitHub repository Rheinmir/setup (11 stars, last pushed 20d ago), licensed MIT. It adds 87 tokens to every session and 2,381 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-11-07.
dym-scientific-agent-skills-chay-script-bundled-tu-shell compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dym-scientific-agent-skills-chay-script-bundled-tu-shellRheinmir/setup | Skill | 11 | 20d ago | MIT | A | 87 | Claude Code |
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| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | today | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | today | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 11d ago | MIT | A | 52 | Claude Code, Codex |