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 elefant-coder/skill-hub --skill giji-seikeigit clone --depth 1 https://github.com/elefant-coder/skill-hubWrote 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/elefant-coder/skill-hub/giji-seikei)<a href="https://agentmods.dev/skills/elefant-coder/skill-hub/giji-seikei"><img src="https://agentmods.dev/badge/skills/elefant-coder/skill-hub/giji-seikei/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/elefant-coder/skill-hub/giji-seikei"><img src="https://agentmods.dev/badge/skills/elefant-coder/skill-hub/giji-seikei.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 | $0.00066 | $0.00464 |
| Opus 5 | $0.00033 | $0.00232 |
| Sonnet 5 | $0.00013 | $0.00093 |
| Haiku 4.5 | $0.00007 | $0.00046 |
Grade A, and why
giji-seikei 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 8d 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
議事録整形スキル
文字起こし・走り書きメモを、共有できる議事録に整形します。
出力フォーマット（この順・この見出しで固定）
# 議事録: <会議名>（<日付>）
参加者: <わかる範囲で。不明なら「記載なし」>
## 決定事項
- <決まったこと。1件1行。誰が言ったかではなく「何に決まったか」>
## TODO
| 誰が | 何を | いつまでに |
|---|---|---|
## 持ち越し・未決
- <結論が出なかった論点と、次に決めるべきこと>
## 補足メモ
- <上に入らないが残す価値のある発言・数字>
ルール
- 原文にない情報を創作しない。曖昧な箇所は「（要確認）」を付ける
- 期限が明言されていないTODOは期限欄を「未設定」とする（勝手に設定しない）
- 決定事項とTODOの重複は決定事項側に寄せる
- 固有名詞の表記ゆれは最初に出た表記に統一
- 数字（金額・日付・件数）は原文と突き合わせて転記ミスゼロにする
- 最後に「決定n件・TODO n件・未決n件」のサマリ行を付ける
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.
- 8d ago First seen · 41 lines · 66 tokens per session scan A fba31c9b7546
giji-seikei is a skill published in the GitHub repository elefant-coder/skill-hub (0 stars, last pushed 19d ago), licensed MIT. It adds 66 tokens to every session and 464 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…