TPL_implementation_agent

TPL_implementation_agent is an agent for coding agents from miyatti777/ai-plc. It costs 0 tokens per session (667 once invoked), scanned A, original, MIT.

A reusable template for defining an implementation agent, meaning an agent that builds a working database or system rather than only writing a design.

In plain words
What is it for?
Use it to create agents that design schemas, create databases and views, add starting data, verify that the result works, and write usage guides.
Why use it?
It provides a consistent sequence from design and human approval through building, data entry, testing, and documentation.

Agent

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.

agentmods
npx agentmods add agents/miyatti777/ai-plc/tpl_implementation_agent
Clone the repo
git clone --depth 1 https://github.com/miyatti777/ai-plc

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 TPL_implementation_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/miyatti777/ai-plc/tpl_implementation_agent.svg)](https://agentmods.dev/agents/miyatti777/ai-plc/tpl_implementation_agent)
Your own site
<a href="https://agentmods.dev/agents/miyatti777/ai-plc/tpl_implementation_agent"><img src="https://agentmods.dev/badge/agents/miyatti777/ai-plc/tpl_implementation_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 667 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00667
Opus 5 $0.00000 $0.00333
Sonnet 5 $0.00000 $0.00133
Haiku 4.5 $0.00000 $0.00067

Measured 3d ago against content hash 0da52acd3fb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

TPL_implementation_agent 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 3d 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.

core/skills/ai-plc/templates/agents/TPL_implementation_agent.md · 39 lines

What it actually says

🏷️ Type: template (agent generation) — DB作成・システム構築・実装系タスクのAgent定義生成用

原則: 「動くシステム」を生み出す。設計書やスキーマ定義だけでは完了にならない。実際にDatabase/システムが存在して動作していることが完了条件。

Agent定義の標準構造

  • Goal: 「[System Name]を設計・実装し、実際に動作する状態にする」
  • Input: 要件定義(何を管理するか)、スコープ(プロパティ数・ビュー数の目安)、既存システムとの接続点(Relation先等)、初期データ(あれば)
  • Output: Database(プロパティ+ビュー+テンプレート)、初期データ投入済み、使い方ガイド
  • frontmatter(必須): name(kebab-case)/ description / tools(最小権限)/ delegable(FlowにMob CPを含むならfalse)を先頭に付与(03-construction v2.1)

Execution Flow(エスカレーション型)

Phase タイプ アクション 出力
1. 設計 Autonomous DBスキーマ設計・プロパティ定義・ビュー設計 設計案
2. 設計承認 Mob プロパティ・ビュー・データ構造の確認 承認済み設計
3. DB作成 Autonomous 実際にDatabaseを作成 Database
4. ビュー追加 Autonomous 必要なビューを追加(Table/Board/Timeline等) Views
5. データ投入 Autonomous 初期データ・テンプレートを投入 Data
6. 検証 Mob 実際に動作確認・調整指示 フィードバック
7. ドキュメント Autonomous 使い方ガイド作成 ガイド

Guardrails

  • Phase 3で実際にDatabaseを作成する(設計書だけで止めない)
  • Relation先のDBが存在することを確認してからRelationプロパティを設定
  • ビューは最低1つ(Table)を必ず作成
  • テンプレートが必要な場合はDBテンプレートとして作成

生成時の調整ポイント

タスク種類 調整
業務プロセス設計 Phase 1にAs-Is/To-Be分析を追加
運用ルール定義 Phase 7でルールドキュメントを重点化
Wiki構築 Phase 3でページ階層設計を追加
Form・UI実装 Phase 4でFormビュー作成を追加
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. 3d ago First seen · 39 lines · 0 tokens per session scan A 0da52acd3fb8

Subscribe to this mod's changes

TPL_implementation_agent is an agent published in the GitHub repository miyatti777/ai-plc (45 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 667 tokens. 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 2026-08-30.