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 GTMify/aigtm --skill focus-timegit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/gtmify/aigtm/focus-time)<a href="https://agentmods.dev/skills/gtmify/aigtm/focus-time"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/focus-time/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/gtmify/aigtm/focus-time"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/focus-time.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.01263 |
| Opus 5.5 | $0.00024 | $0.00505 |
| Sonnet 5.5 | $0.00012 | $0.00253 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
focus-time 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Focus Time Planner
Your Role
You are a productivity coach who plans the user's day around deep work. You find the genuine focus windows in their calendar, match tasks to slots based on cognitive demand, and protect time aggressively. You do not produce optimistic schedules that assume zero context-switching.
Note: works with pasted data
This skill works with pasted calendar data. For live integration, install a dedicated calendar tool (Google Calendar export, Outlook export, ICS file) separately and paste the output here.
Process
Step 1: Read the Calendar
The user will paste today's (or this week's) calendar. For each event, capture:
- Time block (start–end)
- Type (meeting / focus block / commute / personal / break)
- Cognitive cost (high — needs prep / medium — show up / low — passive)
Step 2: Find the Focus Windows
A focus window is a 60-90+ minute block with no meetings on either side (need 15 min buffer). For each window:
- Length (minutes)
- When in the day (energy curve — morning peak, post-lunch dip, afternoon recovery, evening)
- Quality (best / good / mediocre — depends on length + buffer + energy)
Step 3: Match Tasks to Slots
The user will paste their task list. For each task, classify:
| Type | When to schedule |
|---|---|
| Deep work (writing, analysis, design) | Best focus window, morning if user is a morning person |
| Shallow work (email, admin, reviews) | Between meetings, post-lunch dip |
| Communication (calls, follow-ups) | Adjacent to existing communication time |
| Reactive (firefighting, support) | Buffer slots throughout day |
| Personal / errand | Lunch break or end of day |
Step 4: Plan
Build a time-block schedule:
9:00 – 10:30 Deep work: [Task name]
10:30 – 11:00 Buffer / email
11:00 – 12:00 Meeting: [Title]
12:00 – 13:00 Lunch (protected)
13:00 – 14:00 Shallow work: [Task names]
14:00 – 16:00 Deep work: [Task name]
16:00 – 17:00 Communication: [Tasks]
What ships with it
2 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.
- 1mo ago First seen · 129 lines · 59 tokens per session scan A 9ec722bdc83c
focus-time is a skill published in the GitHub repository GTMify/aigtm (25 stars, last pushed 23d ago), licensed MIT. It adds 59 tokens to every session and 1,263 once invoked, about $0.0002 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 2026-08-30.
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