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 agentmods add commands/optimeta/paideia/altgit clone --depth 1 https://github.com/OPTIMETA/PAIDEIAWhat 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 | $0.00044 | $0.01335 |
| Opus 5 | $0.00022 | $0.00668 |
| Sonnet 5 | $0.00009 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00134 |
Grade A, and why
alt 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 2d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Output language
Read INTERFACE_LANG from .course-meta (default en). All user-facing prose — chat output and the narrative parts of generated MDs — must be in that language. Keep in English regardless: file paths, slash command names, the <!-- exam-radar:v1 ... --> marker, table column headers (Topic, Exam prob, Zone, Lecture emphasis, §, Title, HW coverage, Exam tier), tier markers (🔥🔥/🔥/🟡/⚪), the 🎙 signal flag, pattern IDs (P1..Pk), and § / Ch anchors — downstream tools (weakmap, hwmap, analyze) regex on them.
Load skills/alt-import/SKILL.md and skills/course-builder/SKILL.md (the latter for the coverage.md schema you will annotate).
Arguments (the pasted Exam Radar export, may be multi-line): $ARGUMENTS
What this is
Exam Radar is OPTIMETA's Alt plugin. It reads your lecture recordings and ranks topics by how much the professor emphasized them out loud — a second signal of exam probability, independent of PAIDEIA's HW density. Its 학습 로드맵 → 복사 button emits a fixed markdown form. This command folds that signal into course-index/.
HW density stays the primary exam-tier signal. Lecture emphasis is layered on as a second opinion: it corroborates where the two agree and flags blind spots where they diverge. It never silently rewrites the HW-based tier.
Step 0 — Get the export
- If
$ARGUMENTScontains the export (look for<!-- exam-radar:v1), use it. - Else if
materials/radar.mdexists, read that. - Else: tell the user (in
$INTERFACE_LANG) and stop:en: "In Exam Radar, use 학습 로드맵 → 복사 (Study roadmap → Copy), then paste it after/paideia:alt— or save it asmaterials/radar.md."ko: "Exam Radar에서 학습 로드맵 → 복사 후/paideia:alt뒤에 붙여넣거나,materials/radar.md로 저장하세요."
- Validate the marker. No
<!-- exam-radar:v1→ not an Exam Radar export; stop. Version> 1→ warn that this command parses v1 and may ignore new fields, then proceed best-effort.
Pipeline
Follow skills/alt-import/SKILL.md end to end:
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.
- 2d ago First seen · 83 lines · 44 tokens per session scan A fb17b7b355d8
alt is a command published in the GitHub repository OPTIMETA/PAIDEIA (91 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,335 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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wiki-retro
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publish
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demo-command
Example slash command that wraps the demo-skill. Showcases the command kind.
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