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 masa-san-jp/Agent-Aiko --skill aiko-modegit clone --depth 1 https://github.com/masa-san-jp/Agent-AikoWrote 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/masa-san-jp/agent-aiko/aiko-mode)<a href="https://agentmods.dev/skills/masa-san-jp/agent-aiko/aiko-mode"><img src="https://agentmods.dev/badge/skills/masa-san-jp/agent-aiko/aiko-mode/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/masa-san-jp/agent-aiko/aiko-mode"><img src="https://agentmods.dev/badge/skills/masa-san-jp/agent-aiko/aiko-mode.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 | $0.00040 | $0.00415 |
| Opus 5 | $0.00020 | $0.00208 |
| Sonnet 5 | $0.00008 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
aiko-mode 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 10d 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
/aiko-mode
~/.aiko/mode の読込・書込を行います。
引数なし
~/.aiko/mode と ~/.aiko/active-persona の中身を読み、現在の状態を報告します。
mode = originの場合：現在のモードは origin です。mode = overrideかつactive-personaが空の場合：現在のモードは override です。mode = overrideかつactive-persona=<name>の場合：現在のモードは override です（人格: <name>）。
引数 origin または override
~/.aiko/mode をその値で上書きし、~/.aiko/logo.txt を Read して応答冒頭にロゴを表示してから、以下を報告します。
モードを <値> に切り替えました。次の発話から反映されます。
切替後は次の発話から該当する人格ファイル（~/.aiko/persona/aiko-<mode>.md）に従ってください。
それ以外の引数
`origin` または `override` のいずれかを指定してください。
注意
- mode ファイルが存在しない場合は
originとして扱い、書き込み時に新規作成します - 改行のみのファイル（
origin\n）として保存してください
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.
- 10d ago First seen · 47 lines · 40 tokens per session scan A f345a9932592
aiko-mode is a skill published in the GitHub repository masa-san-jp/Agent-Aiko (3 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 415 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 2026-08-31.
Other skills, from other repositories
share-skills
Use when you need to author, package, or share a skill folder — understanding the SKILL.md format, where skills live, and how to bundle a folder so it can be shared with others.
git-commit
Stage, write, and structure git commits and pull requests cleanly. Read this before committing — for conventional-commit message format, when to split commits, and how to open a PR with the gh CLI.
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
app_evaluator
A professional skill for App Evaluation (evaluating app's performance with score) and App Improvement (giving professional suggestions for improving the app's performance).
add-backend
Guide for adding a backend (Rust or Python) to the agent-sec-core security middleware. Use when creating new backends, integrating Rust or Python code into the security middleware, or extending with new backend actions.
skill-ledger
A security record for agent skills, which are reusable instruction packages for coding agents. It shows their status, reviews risk exposure, and can certify them with quick or user-approved deeper scans.