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 miyatti777/ai-plc --skill plc-somedaygit clone --depth 1 https://github.com/miyatti777/ai-plcWrote 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/miyatti777/ai-plc/plc-someday)<a href="https://agentmods.dev/skills/miyatti777/ai-plc/plc-someday"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/plc-someday/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/miyatti777/ai-plc/plc-someday"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/plc-someday.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 | $0.00047 | $0.00293 |
| Opus 5.5 | $0.00019 | $0.00117 |
| Sonnet 5.5 | $0.00009 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
plc-someday 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.
What it actually says
Codex adapter: plc-someday
実行前に Codex実行環境の読み替えを読む。正本の手順・入力・モードは実行時に読み込み、以下は環境差分として適用する。
- リポジトリルートの
.claude/skills/plc-someday/SKILL.mdを最後まで読み、その手順を正本として実行する。 - コマンドとデータは正本に記載された
.claude/db/配下（plc_query.py・ai_plc.db）を使用する。 - 登録・着手・取り消しは Registry に書き込むため、ユーザーが求めた操作だけを実行する。着手で出るコピペ用プロンプトは Codex では該当スキル（01-collection）名に読み替えて示す。
- 正本が欠ける場合は実行せず、欠落内容を報告する。
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.
- 2d ago First seen · 14 lines · 47 tokens per session scan A 599c7f56ac06
plc-someday is a skill published in the GitHub repository miyatti777/ai-plc (49 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 293 once invoked, about $0.0002 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 2026-10-23.
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