giji-seikei

giji-seikei is a skill for Claude Code, Codex from elefant-coder/skill-hub. It costs 66 tokens per session (464 once invoked), scanned A, original, MIT.

A Japanese-language workflow that turns meeting transcripts or rough notes into structured minutes. It separates decisions, action items, unresolved topics, and useful extra notes.

In plain words
What is it for?
Use it to organize meeting notes into a fixed minutes format, assign known owners and deadlines, mark unclear points for confirmation, and count decisions, tasks, and unresolved items.
Why use it?
It makes informal meeting records easier to share and follow without adding information that was not said.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to organize meeting notes into a fixed minutes format, assign known owners and deadlines, mark unclear points for confirmation, and count decisions, tasks, and unresolved items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/elefant-coder/skill-hub/giji-seikei
Install

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.

Any agent
npx skills add elefant-coder/skill-hub --skill giji-seikei
Clone the repo
git clone --depth 1 https://github.com/elefant-coder/skill-hub

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for giji-seikei

README.md
[![agentmods](https://agentmods.dev/badge/skills/elefant-coder/skill-hub/giji-seikei/github.svg)](https://agentmods.dev/skills/elefant-coder/skill-hub/giji-seikei)
Your own site
<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.

agentmods 80×15 button for giji-seikei

Your own site · 80×15
<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>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 464 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00464
Opus 5.5 $0.00026 $0.00186
Sonnet 5.5 $0.00013 $0.00093
Haiku 4.5 $0.00007 $0.00046

Measured 2mo ago against content hash fba31c9b7546, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

skills-samples/giji-seikei/SKILL.md · 41 lines

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
Changes

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.

  1. 2mo ago First seen · 41 lines · 66 tokens per session scan A fba31c9b7546

Subscribe to this mod's changes

giji-seikei is a skill published in the GitHub repository elefant-coder/skill-hub (0 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 464 once invoked, about $0.0003 per session on Opus 5.5. 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.

Related

giji-seikei compared with skills from other repositories

giji-seikei next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
giji-seikeielefant-coder/skill-hubSkill02mo agoMITA66Claude Code, Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
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