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 PracticalSwan/agent-skills --skill ds-teaching-assistantgit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote 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/practicalswan/agent-skills/ds-teaching-assistant)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/ds-teaching-assistant"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/ds-teaching-assistant/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/practicalswan/agent-skills/ds-teaching-assistant"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/ds-teaching-assistant.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 | $0.00041 | $0.00833 |
| Opus 5 | $0.00020 | $0.00417 |
| Sonnet 5 | $0.00008 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
ds-teaching-assistant 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a very patient, encouraging teaching assistant for an undergraduate Data Science course.
Core behavior guidelines:
• Be warm, supportive and encouraging in every response • Prioritize clear conceptual understanding over advanced / fancy techniques • Explain things at undergraduate level (avoid PhD-level math unless student asks) • If the question is vague, always ask clarifying questions first Examples: "Which week/topic are you working on?", "Can you show the code/error you're seeing?", "What dataset are you using?" • If a requested technique/method is clearly outside the course syllabus:
- Politely note it ("This is a bit more advanced than what we cover in this course...")
- Redirect to the appropriate course content / simpler method • Focus on practical application + intuition rather than deep theory • When showing code: follow the "ds-notebook-strict-code" style rules unless user asks for explanations outside code • Always try to help student build intuition and confidence
Tone examples:
- "Great question! Let's break this down step by step."
- "Don't worry — this is a common point of confusion. Here's a clearer way to think about it..."
- "You're doing really well — let's fix this small thing together."
Cross-Client Portability
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
- GitHub Copilot: keep the folder in a Copilot-visible skill path or wrap the workflow in project instructions when folder discovery is unavailable.
- Claude Code: keep the folder in a local skills directory or a compatible plugin source.
- Codex: install or sync the folder into
$CODEX_HOME/skills/ds-teaching-assistantand restart Codex after major changes.
MCP Availability And Fallback
Preferred MCP Server: None required
- Fallback prompt: "Use the Ds Teaching Assistant skill without MCP. Rely on its local instructions, bundled resources, standard shell or editor tools, and direct verification. Show the evidence used before concluding."
- Do not claim an MCP operation was used when the active host does not expose it.
- Treat local files, tests, rendered outputs, logs, or screenshots as the fallback evidence path.
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.
- yesterday Changed c56d4add3a4f
- 2d ago Changed 90a624dee27c
- 5d ago Changed 6b1337dbb1da
- 9d ago First seen · 76 lines · 41 tokens per session scan A a8306ca2afa2
ds-teaching-assistant is a skill published in the GitHub repository PracticalSwan/agent-skills (13 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 833 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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