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 lubluniky/awesome-agent-blueprints --skill cs-mastergit clone --depth 1 https://github.com/lubluniky/awesome-agent-blueprintsWrote 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/lubluniky/awesome-agent-blueprints/cs-master)<a href="https://agentmods.dev/skills/lubluniky/awesome-agent-blueprints/cs-master"><img src="https://agentmods.dev/badge/skills/lubluniky/awesome-agent-blueprints/cs-master/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/lubluniky/awesome-agent-blueprints/cs-master"><img src="https://agentmods.dev/badge/skills/lubluniky/awesome-agent-blueprints/cs-master.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 | $0.00015 | $0.00385 |
| Opus 5 | $0.00008 | $0.00192 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
cs-master 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 10d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 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.
- 10d ago First seen · 44 lines · 15 tokens per session scan A ccf634bcef41
cs-master is a skill published in the GitHub repository lubluniky/awesome-agent-blueprints (1 stars, last pushed 7mo ago), with no licence file. It adds 15 tokens to every session and 385 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 2026-08-31.
Other skills, from other repositories
course-fit-check
Evaluates whether a specific course, certification, bootcamp, or training is worth the time and money for the user's stated career goal, weighing recruiter signal, time and opportunity cost, risks, and the artifact it produces. Use when the user asks whether a course, certification, bootcamp, or training is worth it…
explain
Explains selected or visible content in plain language, including the core idea, jargon, and background, while researching further when the page falls short and staying evidence-backed. Use when the user says "explain this", "what does this mean", "simplify", "break this down", "ELI5", or "help me understand" about…
paper-reader
Explains academic papers, abstracts, PDFs, and technical articles by laying out their method, findings, limitations, and implications. Use when the user says "explain this paper", "summarize this study", "read this paper", "break down this research", or asks what a paper or abstract means.
study-plan
Creates a staged learning plan from a topic, course page, or documentation set with goals, practice tasks, and checkpoints. Use when the user wants a "study plan", "learning roadmap", "curriculum", "syllabus", "learning path", or asks "how do I learn X" or "help me learn X in N weeks".
term-explainer
Finds the technical terms, acronyms, and domain phrases on the current page and defines each in plain language, with why it matters in this context. Use when the user says "explain the jargon", "define these terms", "what does X mean here", "build a glossary", or asks about acronyms, abbreviations, or unfamiliar…
bilingual-reader
Translates selected text and explains the idioms, cultural nuance, key terms, and phrasing that should not be read literally. Use when the user says "translate this", "in Spanish/French/Japanese/etc.", "what does this mean", "explain this phrase", or wants foreign-language text rendered with the context behind it.