Borrowing it
Nothing to install: this file belongs to radthenone/ai-instruction-kit-mcp. 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/radthenone/ai-instruction-kit-mcp/master/.codex/skills/night-run/SKILL.mdgit clone --depth 1 https://github.com/radthenone/ai-instruction-kit-mcpWrote 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/radthenone/ai-instruction-kit-mcp/night-run)<a href="https://agentmods.dev/skills/radthenone/ai-instruction-kit-mcp/night-run"><img src="https://agentmods.dev/badge/skills/radthenone/ai-instruction-kit-mcp/night-run/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/radthenone/ai-instruction-kit-mcp/night-run"><img src="https://agentmods.dev/badge/skills/radthenone/ai-instruction-kit-mcp/night-run.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 | $0.00118 | $0.11822 |
| Opus 5.5 | $0.00047 | $0.04729 |
| Sonnet 5.5 | $0.00024 | $0.02364 |
| Haiku 4.5 | $0.00012 | $0.01182 |
Grade A, and why
night-run 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 today.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- today Changed · +3 lines e3f3647590d1
- yesterday Changed 9b0444b0cdc9
- 3d ago Changed · +2 lines 6d5c4529e7f7
- 4d ago Changed · +54 lines 68dfb1c08b6c
- 7d ago Changed · +42 lines 8f21755a5b67
- 11d ago Changed · +83 lines · +25 tokens per session cca957222766
- 15d ago Changed · +54 lines 1252c4c82191
- 18d ago Changed · +35 lines f87a5036bdfb
- 24d ago First seen · 281 lines · 93 tokens per session scan A 9486c6ed2ec4
night-run is a skill published in the GitHub repository radthenone/ai-instruction-kit-mcp (0 stars, last pushed today), with no licence file. It adds 118 tokens to every session and 11,822 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-06.
Other skills, from other repositories
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
team-release
Orchestrate the release team — release-manager, qa-lead, devops-engineer, producer — to execute a release from candidate to deployment.
operating-github-cli
Default GitHub skill for the action agent. Use githubcli for any GitHub request — create/list/view/close issues and PRs, assign, labels, repos, releases, checks, github.com/owner/repo URLs, or gh api. Prefer over shellrun/!gh. Run these with githubcli in the current agent turn.
github
Drive GitHub via the official gh CLI — repos, issues, pull requests, releases, gists, Actions runs, and raw REST through gh api. Use when the user asks to inspect or manage GitHub.
testdino-releases
Use when the user wants to browse, inspect, create, or update releases/milestones in a TestDino project. Covers listreleases, getrelease, createrelease, and updaterelease. Accepts counter-style IDs like MS-12.
create-milestone
Create a GitHub milestone for an upcoming release. Suggests the next version based on the latest release, gathers all merged PRs and closed issues since that release, presents a draft with two tables (Issues and PRs) for user approval, then creates the milestone and assigns all approved items.