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-session-resume/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-session-resume)<a href="https://agentmods.dev/skills/midnight480/saga-event-space-mcp-server/aidlc-session-resume"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-session-resume/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-session-resume"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-session-resume.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 | $0.00044 | $0.00361 |
| Opus 5 | $0.00022 | $0.00180 |
| Sonnet 5 | $0.00009 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
aidlc-session-resume 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 Session Resume Skill
This skill resumes an existing AI-DLC workflow from the last checkpoint.
Activation
Use this skill when:
- Returning to continue work on an existing AI-DLC project
aidlc-docs/aidlc-state.mdexists in the workspace- User says "continue", "resume", or asks about current progress
Execution
Read .aidlc-rule-details/common/session-continuity.md for complete instructions.
Process
- Read
aidlc-docs/aidlc-state.mdto determine current progress - Load all relevant artifacts from completed stages:
- Reverse Engineering: architecture.md, code-structure.md, api-documentation.md
- Requirements: requirements.md, requirement-verification-questions.md
- User Stories: stories.md, personas.md
- Application Design: components.md, services.md
- Units: unit-of-work.md, unit-of-work-dependency.md
- Per-Unit Design: functional-design, nfr-requirements, nfr-design, infrastructure-design
- Code: all generated code files and plans
- Present "Welcome Back" prompt with current status
- Offer options: continue where left off, or review previous stage
- Resume execution from next uncompleted stage
Error Handling
If artifacts are missing or corrupted:
- Read
.aidlc-rule-details/common/error-handling.md - Identify which stage created the missing artifacts
- Offer to regenerate or ask user for information
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 · 42 lines · 44 tokens per session scan A aa2bb0717e9b
aidlc-session-resume is a skill published in the GitHub repository midnight480/saga-event-space-mcp-server (0 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 361 once invoked, about $0.0002 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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