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 rules/miyatti777/ai-plc/ai-plc-systemgit 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/rules/miyatti777/ai-plc/ai-plc-system)<a href="https://agentmods.dev/rules/miyatti777/ai-plc/ai-plc-system"><img src="https://agentmods.dev/badge/rules/miyatti777/ai-plc/ai-plc-system.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 5.1 | $0.00522 | $0.00522 |
| Opus 5 | $0.00261 | $0.00261 |
| Sonnet 5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
ai-plc-system 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 6d 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
AI-PLC System Rules
This project uses AI-PLC (AI Product Lifecycle) pipeline.
Core Principles
- Context Cascade — Parent→Child scope context propagation (immutable / overridable / local)
- Fractal Decomposition — Recursive goal decomposition into Sub-Agent Scopes
- Adaptive Workflow — Simple / Standard / Complex depth auto-detection
- Self-Describing Task — Context-attached task delegation
Skills Location
.cursor/skills/ai-plc/01-collection/SKILL.md— Stage 1: Collection.cursor/skills/ai-plc/02-inception/SKILL.md— Stage 2: Inception.cursor/skills/ai-plc/03-construction/SKILL.md— Stage 3: Construction.cursor/skills/ai-plc/04-operation/SKILL.md— Stage 4: Operation
Rules
.cursor/rules/ai-plc-system.mdc— This file (root system rules).cursor/rules/ai-plc-session.mdc— Session management.cursor/rules/ai-plc-adaptive.mdc— Adaptive Workflow depth
Working Directory
Create new work in Flow/[YYYYMM]/[YYYY-MM-DD]/.
Naming Conventions
| Prefix | System | Example |
|---|---|---|
| SKL_plc_* | Skills | SKL_plc_01_collection |
| RUL_plc_* | Rules | RUL_plc_system |
| TPL_* | Templates | TPL_role_developer |
File Names (mandatory)
| File | Purpose |
|---|---|
| intent.yaml | Execution Context metadata |
| context.yaml | Context Manifest |
| backlog.yaml | Task definitions |
| Context/ | Context Store |
| Documents/ | Artifact Store |
Post-Deliver Propagation (mandatory after task completion)
After completing each task, execute the following checklist:
- backlog.yaml — Update status to completed + output link
- context.yaml — Add artifact entry
- native memory — Update user model/preferences (Claude Code native memory; or skip)
- Wiki update — Propagate new knowledge to .claude/wiki/
- External Sync / log.md / Project Registry — see rules/ai-plc-system.md §8
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.
- 6d ago First seen · 60 lines · 522 tokens per session scan A a8bf9df71d17
ai-plc-system is a cursor rule published in the GitHub repository miyatti777/ai-plc (45 stars, last pushed 1mo ago), licensed MIT. It adds 522 tokens to every session, about $0.0026 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.
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