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 pnp/sharepoint-skills --skill flashcards-dashboardgit clone --depth 1 https://github.com/pnp/sharepoint-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/pnp/sharepoint-skills/flashcards-dashboard)<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/flashcards-dashboard"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/flashcards-dashboard/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/pnp/sharepoint-skills/flashcards-dashboard"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/flashcards-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Memory Poisoning · line 164 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- high Memory Poisoning · line 165 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00115 | $0.03106 |
| Opus 5 | $0.00057 | $0.01553 |
| Sonnet 5 | $0.00023 | $0.00621 |
| Haiku 4.5 | $0.00012 | $0.00311 |
Grade A, and why
flashcards-dashboard 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.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flashcard Dashboard from File
When to use
Use this skill when the user wants to learn, revise, or review the content of a SharePoint/OneDrive file through an interactive HTML dashboard with animated flip flashcards.
Use it for PowerPoint decks, PDFs, Word documents, or other readable files where the goal is comprehension, training, revision, onboarding, or knowledge checks.
Inputs
- Source file name, URL, selected file, or file reference.
- Optional preferences: audience/difficulty, number of cards, language, destination, topics to emphasize/exclude.
- Modes to include by default: Study, Shuffle, Review missed. Do not include Quiz mode unless explicitly requested.
- Theme: use the required refined dark theme below unless the user explicitly asks for another theme.
Steps
-
Locate the source file.
- If the user gives a filename, use SharePoint/OneDrive file discovery tools.
- If exact search fails, retry broader keywords and semantic search.
- If outside the current site, use tenant search as fallback.
- If no file is found, say so plainly and ask for a link or selected file.
-
Read or digest the file content.
- Use a file-reading tool when raw content is needed.
- Use file digest only when a summary is enough.
- For PowerPoint files with speaker notes, preserve slide content and presenter-note insights.
- For long files, create cards from section summaries and say the dashboard is summary-based.
-
Extract cards using this schema:
{
"id": "Stable unique card id, e.g. c0",
"category": "Short topic label",
"question": "Question shown on the front",
"answer": "Concise answer shown on the back",
"detail": "Expanded answer for hover/focus detail panel",
"hint": "Short clue or memory hook",
"sourceAnchor": "Slide/page/section/table name, or Source file if unknown",
"sourceUrl": "Clickable source document URL when available",
"difficulty": "Easy | Medium | Hard"
}
- Produce 12–25 cards unless the user requests another count.
- Keep
answerconcise; put longer explanation indetail. - Do not fabricate source anchors, URLs, slide counts, page numbers, or facts.
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 · 264 lines · 115 tokens per session scan A bb4d25be3013
flashcards-dashboard is a skill published in the GitHub repository pnp/sharepoint-skills (112 stars, last pushed yesterday), licensed MIT. It adds 115 tokens to every session and 3,106 once invoked, about $0.0006 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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