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-autogit 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-auto)<a href="https://agentmods.dev/skills/miyatti777/ai-plc/plc-auto"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/plc-auto/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-auto"><img src="https://agentmods.dev/badge/skills/miyatti777/ai-plc/plc-auto.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 | $0.00045 | $0.00327 |
| Opus 5.5 | $0.00018 | $0.00131 |
| Sonnet 5.5 | $0.00009 | $0.00065 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
plc-auto 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 16d 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-auto
このSkillは明示実行によるnative Goalの専用入口。通常Stageの待機は変更しない。
- リポジトリルート基準で
.claude/skills/plc-auto/SKILL.md、references/goal-preset.md（同Skillディレクトリ内）、.claude/rules/ai-plc-system.md、ai-plc-session.md、ai-plc-adaptive.mdの存在・可読性を確認する。欠落があればパスを報告して停止する。 - 上記3 RulesとSkill正本を最後まで読む。固定Goalは正本から読む。
- 正本の手順で実際のGoal機能を確認し、利用者の明示実行の場合だけ設定する。通常Stageの「Goalを作らない」はこの専用入口には適用しない。引用・編集・説明では起動しない。
- Stageの
/01-collection〜/04-operationは$01-collection〜$04-operationへ読み替え、実行Stageの正本を読む。未承認の外部送信・公開・既存Goal上書きをしない。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 16d ago First seen · 14 lines · 45 tokens per session scan A 950ff0b03b5b
plc-auto is a skill published in the GitHub repository miyatti777/ai-plc (49 stars, last pushed 17d ago), licensed MIT. It adds 45 tokens to every session and 327 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 2026-10-02.
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