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.
git clone --depth 1 https://github.com/ZeKaiNie/universal-examprep-skillnpx agentmods add skills/zekainie/universal-examprep-skill/exam-study-guideWrote 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/zekainie/universal-examprep-skill/exam-study-guide)<a href="https://agentmods.dev/skills/zekainie/universal-examprep-skill/exam-study-guide"><img src="https://agentmods.dev/badge/skills/zekainie/universal-examprep-skill/exam-study-guide.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00113 | $0.06442 |
| Opus 5 | $0.00056 | $0.03221 |
| Sonnet 5 | $0.00023 | $0.01288 |
| Haiku 4.5 | $0.00011 | $0.00644 |
Grade A, and why
exam-study-guide 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 9d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exam Study Guide
Purpose
After teaching the current chapter, build its validated typed Study Guide manifest; in visual mode, compile that manifest into a readable, self-contained HTML Study Guide and printable PDF before phase completion. A Study Guide is a teaching artifact, not a dump of the wiki and bank: it groups knowledge points with every mapped lecture, homework, Quiz, mock-exam, past-exam, or textbook example and explains each one through formula selection, variable mapping, substitution, solution, a beginner-first explanation of why the answer follows, and source trace. Keep Markdown/JSON as auditable sources and never overwrite them with a derived artifact.
Activation
Require explicit study_state.json.processing_mode=full. Lightweight mode never
invokes this module, even for a one-shot handout request; explain that Study Guide
generation requires switching to full processing and reconfirming the start gate.
Use this module after the exam workspace/current chapter are confirmed and its substantive teaching is persisted, but before complete-phase in a structured workspace. Restore the current phase and effective artifact_mode from study_state.json before selecting <N>. chat still builds and imports the mandatory typed profile=full manifest, then stops without HTML/PDF; a recognized standing visual preference continues through rendering, receipt binding, and all-page QA. A direct one-shot handout request follows its explicit output scope without rewriting the stored preference. Never inspect or infer the student's subscription. Preserve the parent exam-coach language and provenance contracts in all chat summaries.
Inputs
- Exactly one current-chapter
references/wiki/chNN*.mdfile, used as source evidence rather than pasted wholesale. - Optional
study_state.json; its canonical language-neutrallanguagecode (zh/en/bilingual; legacy/display aliases中文/English/双语migrate on read) controls all agent-generated headings, notices, explanations, labels, and summaries. Missing state follows the session default (English unless the student opened in Chinese); the script's Chinese empty-value fallback exists only for legacy workspaces and is not a new-session language decision. - The current-chapter slice of
references/teaching_examples.json, every current-chapter entry inreferences/quiz_bank.json, and every typed current-chapter question unit, de-duplicated by item ID. A legacygradable=falserecord remains a teaching example in the guide but is never served or graded as a quiz. - A substantive
notebook/chNN.mdplus the validated typed teaching manifestnotebook/chNN.guide.json. - Workspace-local images under
references/assets/referenced by the typed manifest. - For ingestion-v2 workspaces, current validated
.ingest/canonical_groups.jsonland.ingest/source_conflicts.jsonlfacts. These are revision-bound derived facts, not replacements for source occurrences or item/unit IDs. Do not preload unrelated chapters or hand-fold near matches. - For ingestion-v2,
.ingest/claim_records.jsonland the matching.ingest/claim_verification_receipts/chNN.jsonare mandatory typed-guide inputs. The validator recomputes them against the current manifest and live source/content/group/conflict facts. The receipt'sfact_snapshot_sha256also binds current build/parser/page-quality/review facts into its ID, so a parser identity revision requires re-verification even when content units are unchanged. Legacy/v1 compatibility is read-only for an existing canonical manifest and must not be described as having this v2 evidence. The receipt scope islocation_only, never semantic proof.
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.
- 9d ago First seen · 167 lines · 113 tokens per session scan A bb48ba987519
exam-study-guide is a skill published in the GitHub repository ZeKaiNie/universal-examprep-skill (281 stars, last pushed 6d ago), licensed MIT. It adds 113 tokens to every session and 6,442 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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