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 skills add benthamite/dotfiles --skill overnight-todosgit clone --depth 1 https://github.com/benthamite/dotfilesWrote 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/benthamite/dotfiles/overnight-todos)<a href="https://agentmods.dev/skills/benthamite/dotfiles/overnight-todos"><img src="https://agentmods.dev/badge/skills/benthamite/dotfiles/overnight-todos.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 | $0.00074 | $0.03451 |
| Opus 5 | $0.00037 | $0.01725 |
| Sonnet 5 | $0.00015 | $0.00690 |
| Haiku 4.5 | $0.00007 | $0.00345 |
Grade A, and why
overnight-todos 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.
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 ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 259 lines · 74 tokens per session scan A c0071621e4ec
overnight-todos is a skill published in the GitHub repository benthamite/dotfiles (11 stars, last pushed 1mo ago), with no licence file. It adds 74 tokens to every session and 3,451 once invoked, about $0.0004 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.
Other skills, from other repositories
todoist-cli
Manage Todoist tasks, projects, labels, filters, sections, comments, reminders, and workspaces via the td CLI. Use when the user wants to view, create, update, complete, or organize Todoist items, or mentions tasks, inbox, today, upcoming, projects, labels, or filters.
autopilot
Carry a well-scoped GitHub issue through the full dev loop autonomously, stopping at a per-run tier boundary (PR-ready, or merge+deploy for small reversible changes).
model-triage
Adopt the per-issue model-selection convention in a repo — tier every open issue, apply the model: labels, board field, and callouts behind an approval gate. Also runs in maintenance mode to sweep up unlabeled issues and label/field drift.
autopilot-triage
Vet open issues for autonomous resolution and queue the qualifying ones with the autopilot-queued label — the start-of-day "fill the queue" half of the triage → run split.
create-pr
Create a pull request with auto-generated description, issue linking, ROADMAP updates, and PR-metadata validation.
plan-phase
Plan the next PRD phase by drafting issues, creating GitHub issues, and bridging planning to building.