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/skills/aidlc-inception/SKILL.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/skills/midnight480/saga-event-space-mcp-server/aidlc-inception)<a href="https://agentmods.dev/skills/midnight480/saga-event-space-mcp-server/aidlc-inception"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-inception/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/midnight480/saga-event-space-mcp-server/aidlc-inception"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-inception.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 | $0.00064 | $0.00535 |
| Opus 5 | $0.00032 | $0.00267 |
| Sonnet 5 | $0.00013 | $0.00107 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
aidlc-inception 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 11d 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-DLC INCEPTION Phase Skill
This skill executes the INCEPTION phase of the AI-Driven Development Life Cycle.
Purpose
Determine WHAT to build and WHY through structured planning and architecture.
Activation
Use this skill when the user:
- Starts a new software development request
- Asks to analyze or gather requirements
- Wants to plan a feature or system
- Needs architecture or design decisions
- Asks to reverse-engineer an existing codebase
Execution
Step 1: Load Common Rules
Read the following files from .aidlc-rule-details/:
common/process-overview.mdcommon/session-continuity.mdcommon/content-validation.mdcommon/question-format-guide.md
Step 2: Load Extensions
Scan .aidlc-rule-details/extensions/ recursively and load ONLY *.opt-in.md files.
Step 3: Display Welcome Message
Read and display .aidlc-rule-details/common/welcome-message.md (once per new workflow).
Step 4: Execute Stages
Execute stages in order, reading detailed instructions from .aidlc-rule-details/inception/:
- Workspace Detection (ALWAYS) — Read
inception/workspace-detection.md - Reverse Engineering (IF brownfield) — Read
inception/reverse-engineering.md - Requirements Analysis (ALWAYS) — Read
inception/requirements-analysis.md - User Stories (CONDITIONAL) — Read
inception/user-stories.md - Workflow Planning (ALWAYS) — Read
inception/workflow-planning.md - Application Design (CONDITIONAL) — Read
inception/application-design.md - Units Generation (CONDITIONAL) — Read
inception/units-generation.md
Mandatory Behaviors
- Log ALL user inputs in
aidlc-docs/audit.mdwith ISO 8601 timestamps - Place ALL questions in dedicated
.mdfiles (never in chat) - Use multiple choice format with
[Answer]:tags - Wait for explicit user approval before proceeding between stages
- Update
aidlc-docs/aidlc-state.mdwith progress
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.
- 11d ago First seen · 60 lines · 64 tokens per session scan A b30ab392b55a
aidlc-inception is a skill published in the GitHub repository midnight480/saga-event-space-mcp-server (0 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 535 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 2026-08-31.
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