dym-scientific-agent-skills-gate-trong-ci-cua-ban

dym-scientific-agent-skills-gate-trong-ci-cua-ban is a skill for Claude Code from Rheinmir/setup. It costs 79 tokens per session (2,014 once invoked), scanned A, original, MIT.

A continuous-integration check for agent skills. Continuous integration, or CI, automatically checks project changes before they are accepted.

In plain words
What is it for?
Use it in a project's CI to check committed or installed skills and fail the job when they drift or become invalid.
Why use it?
It detects when an installed skill differs from the reviewed version or no longer follows its specification, instead of allowing the agent's instructions to change silently.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: reads .claude/ paths; positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./.venv-skills/bin/pip install "skills-ref @ git+https://github.com/agentskills/agentskills.git#subdirectory=skills-ref".

Good fit Use it in a project's CI to check committed or installed skills and fail the job when they drift or become invalid.

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Install

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.

Clone the repo
git clone --depth 1 https://github.com/Rheinmir/setup
agentmods
npx agentmods add skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban

Made for: Claude Code.

Wrote 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.

agentmods badge for dym-scientific-agent-skills-gate-trong-ci-cua-ban

README.md
[![agentmods](https://agentmods.dev/badge/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban/github.svg)](https://agentmods.dev/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban)
Your own site
<a href="https://agentmods.dev/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-scientific-agent-skills-gate-trong-ci-cua-ban.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,014 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.02014
Opus 5.5 $0.00032 $0.00806
Sonnet 5.5 $0.00016 $0.00403
Haiku 4.5 $0.00008 $0.00201

Measured yesterday against content hash 089a34d1a7ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dym-scientific-agent-skills-gate-trong-ci-cua-ban 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.

.overstack/doyourmagic/scientific-agent-skills/skills/dym-scientific-agent-skills-gate-trong-ci-cua-ban/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: dym-scientific-agent-skills-gate-trong-ci-cua-ban — Đưa skill vào CI của DỰ ÁN BẠN

Đây là ví dụ viết mới, tối thiểu, cho người dùng. Nó không phải bản sao .github/workflows/*.yml của repo skill — bốn workflow trong đó (skill-tests, skill-spec-validation, pr-skill-scan, security-scan) tồn tại để kiểm chính repo skill, cần secret riêng của họ, và không có ý nghĩa gì trong dự án của bạn. Nếu bạn đóng góp cho repo gốc thì xem 08.

Vì sao dùng: skill là chỉ dẫn agent tuân theo. Cắm chúng vào CI để (a) skill được commit đúng như lúc bạn thẩm định, (b) upstream thay đổi thì CI báo thay vì agent lặng lẽ đổi hành vi. Sinh ra cái gì: một job CI đỏ khi skill đã cài trôi khỏi bản đã duyệt, hoặc khi một skill không còn hợp lệ theo spec.


Quyết định trước: commit skill hay cài lúc chạy CI

Commit vào repo Cài trong CI
Tái lập tuyệt đối — đúng byte bạn đã đọc phụ thuộc tag/SHA remote
Review diff hiện trong PR, người soát thấy thay đổi vô hình
Kích thước repo tăng (một skill ~4 KB–1.2 MB) không
Khuyến nghị ✅ mặc định nên chọn cái này chỉ khi repo bạn cấm vendor

Commit skill vào repo là mặc định đúng: bạn đã bỏ công thẩm định ở 02, commit là cách duy nhất giữ được kết quả thẩm định đó.

Gate 1 — Phát hiện drift so với upstream (đã chạy thật)

gh skill install ghi github-tree-sha vào frontmatter lúc cài. So nó với tree SHA remote hiện tại là phát hiện được upstream đã sửa skill.

Lưu thành ci/check-skill-drift.sh:

#!/usr/bin/env bash
# Đỏ nếu một skill đã cài trôi khỏi tree SHA ghi lúc cài.
set -euo pipefail
status=0
for skill in "$@"; do
  f=".claude/skills/$skill/SKILL.md"
  [ -f "$f" ] || { echo "MISSING $skill"; status=1; continue; }
  repo=$(awk '/github-repo:/{print $2; exit}' "$f" | sed 's#https://github.com/##')
  ref=$(awk '/github-ref:/{print $2; exit}' "$f")
  path=$(awk '/github-path:/{print $2; exit}' "$f")
  pinned=$(awk '/github-tree-sha:/{print $2; exit}' "$f")
  parent=$(dirname "$path"); name=$(basename "$path")
  remote=$(gh api "repos/$repo/git/trees/${ref#refs/tags/}:$parent" \
             --jq ".tree[] | select(.path==\"$name\") | .sha")
  if [ "$pinned" = "$remote" ]; then
    echo "OK      $skill  $pinned"
  else
    echo "DRIFTED $skill  local=$pinned remote=$remote"; status=1
  fi
done
exit $status

Read the full file on GitHub · 153 lines

Changes

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.

  1. yesterday First seen · 153 lines · 79 tokens per session scan A 089a34d1a7ac

Subscribe to this mod's changes

dym-scientific-agent-skills-gate-trong-ci-cua-ban is a skill published in the GitHub repository Rheinmir/setup (11 stars, last pushed 20d ago), licensed MIT. It adds 79 tokens to every session and 2,014 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.

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