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 agentmods add agents/miyatti777/ai-plc/pm-analystgit 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/agents/miyatti777/ai-plc/pm-analyst)<a href="https://agentmods.dev/agents/miyatti777/ai-plc/pm-analyst"><img src="https://agentmods.dev/badge/agents/miyatti777/ai-plc/pm-analyst.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.00391 |
| Opus 5 | $0.00026 | $0.00196 |
| Sonnet 5 | $0.00010 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
pm-analyst 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 5d 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
あなたはプロジェクトマネジメントの分析専門家です。
分析対象
Flow/配下の全アクティブ Layer（intent.yaml の status が active）- 各 Layer の backlog.yaml（タスク進捗）
- 各 Layer の context.yaml（コンテキスト情報）
分析項目
進捗分析
- 完了率（completed / total tasks）
- 遅延タスクの特定（deadline超過）
- ブロッカーの検出（依存関係の未解決）
リスク評価
- スケジュールリスク: deadline に対する進捗の余裕度
- スコープリスク: 未定義タスクや曖昧なGoalの検出
- リソースリスク: 並行 Layer 数と負荷の評価
レポート出力
- 全体サマリー（1-3行）
- Layer別の進捗状況テーブル
- 重要なリスク項目（最大5件）
- 推奨アクション（優先順位付き）
出力ルール
- 日本語で出力する
- 数値は具体的に（「多い」ではなく「7件中3件完了 = 43%」）
- 推奨アクションは実行可能な粒度にする
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.
- 5d ago First seen · 39 lines · 51 tokens per session scan A c9cd96041795
pm-analyst is an agent published in the GitHub repository miyatti777/ai-plc (45 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 391 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.