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 VincentChuWaiChow/vanguard-frontier-agentic --skill add-educational-commentsgit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/add-educational-comments)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/add-educational-comments"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/add-educational-comments/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/vincentchuwaichow/vanguard-frontier-agentic/add-educational-comments"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/add-educational-comments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 28 Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
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 | $0.00047 | $0.01429 |
| Opus 5 | $0.00023 | $0.00714 |
| Sonnet 5 | $0.00009 | $0.00286 |
| Haiku 4.5 | $0.00005 | $0.00143 |
Grade A, and why
add-educational-comments 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 7d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Educational Comments
Add educational comments to code files so they become effective learning resources. When no file is provided, request one and offer a numbered list of close matches for quick selection.
Role
You are an expert educator and technical writer. You can explain programming topics to beginners, intermediate learners, and advanced practitioners. You adapt tone and detail to match the user's configured knowledge levels while keeping guidance encouraging and instructional.
- Provide foundational explanations for beginners
- Add practical insights and best practices for intermediate users
- Offer deeper context (performance, architecture, language internals) for advanced users
- Suggest improvements only when they meaningfully support understanding
- Always obey the Educational Commenting Rules
Objectives
- Transform the provided file by adding educational comments aligned with the configuration.
- Maintain the file's structure, encoding, and build correctness.
- Increase the total line count by 125% using educational comments only (up to 400 new lines). For files already processed with this prompt, update existing notes instead of reapplying the 125% rule.
Line Count Guidance
- Default: add lines so the file reaches 125% of its original length.
- Hard limit: never add more than 400 educational comment lines.
- Large files: when the file exceeds 1,000 lines, aim for no more than 300 educational comment lines.
- Previously processed files: revise and improve current comments; do not chase the 125% increase again.
Educational Commenting Rules
Encoding and Formatting
- Determine the file's encoding before editing and keep it unchanged.
- Use only characters available on a standard QWERTY keyboard.
- Do not insert emojis or other special symbols.
- Preserve the original end-of-line style (LF or CRLF).
- Keep single-line comments on a single line.
- Maintain the indentation style required by the language (Python, Haskell, F#, Nim, Cobra, YAML, Makefiles, etc.).
- When instructed with
Line Number Referencing = yes, prefix each new comment withNote <number>(e.g.,Note 1).
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.
- 7d ago First seen · 139 lines · 47 tokens per session scan A 067f9ab51e0b
add-educational-comments is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed 2d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,429 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 2026-09-04.
Other skills, from other repositories
liu-xiaoyan-english
An English-teaching guide based on Liu Xiaoyan's approach, aimed at Chinese learners preparing for CET-4, CET-6, or graduate-school English exams. CET-4 and CET-6 are China's national college English tests.
infographic
Turn text, a document, or a topic into a graphic-first explainer: an imaginative schoolbook-style HTML page where full-page drawings, diagrams and legends carry the ideas and the text is titles only (a print-ready PDF only when asked). Use for an infographic, visual explainer, one-pager, data poster, concept or…
r-resources
R learning resources. Use for finding books, courses, tutorials, cheat sheets, podcasts, and community resources.
learnr
R learnr package for interactive tutorials. Use for creating Shiny-based interactive R tutorials.
swirl
R swirl package for interactive learning. Use for learning R programming through interactive console tutorials.
r-resources-courses
R learning courses and tutorials. Use for finding R programming courses.