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 jedikim/storyai --skill story-biblegit clone --depth 1 https://github.com/jedikim/storyaiWrote 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/jedikim/storyai/story-bible)<a href="https://agentmods.dev/skills/jedikim/storyai/story-bible"><img src="https://agentmods.dev/badge/skills/jedikim/storyai/story-bible/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/jedikim/storyai/story-bible"><img src="https://agentmods.dev/badge/skills/jedikim/storyai/story-bible.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 | $0.00090 | $0.00729 |
| Opus 5 | $0.00045 | $0.00365 |
| Sonnet 5 | $0.00018 | $0.00146 |
| Haiku 4.5 | $0.00009 | $0.00073 |
Grade A, and why
story-bible 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 11d 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.
What it actually says
설정집
조회
find("한도영") # 이름·별칭 퍼지 검색
get("character/한도영") # 요약 (기본값)
get("character/한도영", include="body", as_of=14) # 14장 시점의 전체 상태
refs("character/한도영", dir="in") # 이 인물을 건드리는 모든 씬
trace(from="object/놋쇠열쇠") # 이 소품이 어떤 서사 장치로 이어지는가
as_of를 주면 그 시점 이후에 밝혀진 사실은 숨겨집니다.
n+1장을 쓰는 중이라면 as_of=n으로 조회해서 미래 정보 유출을 막으세요.
등록
새 요소는 다음을 채워 propose합니다.
id— 사람이 읽는 주소.character/이름,object/이름형식. UUID 금지title,aliases— 별칭은 산문 속 언급을 묶는 데 쓰이니 빠짐없이story_from/story_to— 작중 언제부터 언제까지 존재·유효한가reveal_at— 독자에게 언제 드러났는가.story_from보다 크면 회상입니다evidence— 이 사실이 확립된 원문 위치
원고에서 추출
ingest(chapter="A2/ch14") — 확정된 원고에서 노드와 간선을 뽑아 제안으로 올립니다.
자동 커밋되지 않습니다. 추출 결과를 사람이 검토합니다.
이미 인덱싱된 챕터를 고쳤다면 ingest(chapter=..., mode="reindex")로
다시 돌리세요. 그 지점 이후의 파생 간선이 무효화됩니다.
세계관 규칙은 특별합니다
kind="Rule"이고 locked=true인 노드는 정본입니다.
모순을 발견해도 고치지 말고 contradicts 간선을 남기세요.
정본을 바꾸는 건 사람의 결정입니다.
스키마가 헷갈리면
graph_schema()로 현재 노드 타입·간선 타입·태그 체계를 확인하세요.
손으로 빚은 툴로 안 풀리는 질의는 query(sql)로 직접 쓰면 됩니다.
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.
- 11d ago First seen · 54 lines · 90 tokens per session scan A fce72b39c5a4
story-bible is a skill published in the GitHub repository jedikim/storyai (0 stars, last pushed 18d ago), licensed MIT. It adds 90 tokens to every session and 729 once invoked, about $0.0005 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 2026-08-31.
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