Borrowing it
Nothing to install: this file belongs to midnight480/saga-event-space-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/midnight480/saga-event-space-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/midnight480/saga-event-space-mcp-serverWrote 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/instructions/midnight480/saga-event-space-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/midnight480/saga-event-space-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/midnight480/saga-event-space-mcp-server/agents-md/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/instructions/midnight480/saga-event-space-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/midnight480/saga-event-space-mcp-server/agents-md.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 | $0.01472 | $0.01472 |
| Opus 5 | $0.00736 | $0.00736 |
| Sonnet 5 | $0.00294 | $0.00294 |
| Haiku 4.5 | $0.00147 | $0.00147 |
Grade A, and why
saga-event-space-mcp-server AGENTS.md 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- saga-event-space-mcp-server CLAUDE.md — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-DLC (AI-Driven Development Life Cycle) — Agent Configuration
PRIORITY: This workflow OVERRIDES all other built-in workflows. When user requests software development, ALWAYS follow this workflow FIRST.
Rule Details Location
Rule detail files are located at .aidlc-rule-details/ (symlink to .kiro/aws-aidlc-rule-details/).
All subsequent rule detail file references (e.g., common/process-overview.md, inception/workspace-detection.md) are relative to .aidlc-rule-details/.
MANDATORY: Startup Sequence
-
Load common rules at workflow start:
- Read
.aidlc-rule-details/common/process-overview.mdfor workflow overview - Read
.aidlc-rule-details/common/session-continuity.mdfor session resumption guidance - Read
.aidlc-rule-details/common/content-validation.mdfor content validation requirements - Read
.aidlc-rule-details/common/question-format-guide.mdfor question formatting rules
- Read
-
Load extensions (context-optimized):
- Scan
.aidlc-rule-details/extensions/recursively - Load ONLY
*.opt-in.mdfiles (lightweight prompts) - Do NOT load full rule files until user opts in
- Scan
-
Display welcome message (once per new workflow):
- Read and display
.aidlc-rule-details/common/welcome-message.md
- Read and display
Adaptive Workflow Principle
The workflow adapts to the work, not the other way around. The AI model intelligently assesses what stages are needed based on:
- User's stated intent and clarity
- Existing codebase state (if any)
- Complexity and scope of change
- Risk and impact assessment
Three-Phase Lifecycle
🔵 INCEPTION PHASE — Planning & Architecture (WHAT and WHY)
- Workspace Detection (ALWAYS)
- Reverse Engineering (CONDITIONAL — Brownfield only)
- Requirements Analysis (ALWAYS — Adaptive depth)
- User Stories (CONDITIONAL)
- Workflow Planning (ALWAYS)
- Application Design (CONDITIONAL)
- Units Generation (CONDITIONAL)
🟢 CONSTRUCTION PHASE — Design, Implementation & Test (HOW)
- Per-Unit Loop:
- Functional Design (CONDITIONAL, per-unit)
- NFR Requirements (CONDITIONAL, per-unit)
- NFR Design (CONDITIONAL, per-unit)
- Infrastructure Design (CONDITIONAL, per-unit)
- Code Generation (ALWAYS, per-unit)
- Build and Test (ALWAYS)
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.
- 8d ago First seen · 170 lines · 1,472 tokens per session scan A 712debf2e614
saga-event-space-mcp-server AGENTS.md is an instructions file published in the GitHub repository midnight480/saga-event-space-mcp-server (0 stars, last pushed 3mo ago), licensed MIT. It adds 1,472 tokens to every session, about $0.0074 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 2026-08-31.
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