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 BayramAnnakov/ai-personal-os-skills --skill daily-loggit clone --depth 1 https://github.com/BayramAnnakov/ai-personal-os-skillsWrote 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/bayramannakov/ai-personal-os-skills/daily-log)<a href="https://agentmods.dev/skills/bayramannakov/ai-personal-os-skills/daily-log"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/daily-log/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/bayramannakov/ai-personal-os-skills/daily-log"><img src="https://agentmods.dev/badge/skills/bayramannakov/ai-personal-os-skills/daily-log.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 | $0.00037 | $0.01252 |
| Opus 5 | $0.00018 | $0.00626 |
| Sonnet 5 | $0.00007 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
daily-log 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 12d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/daily-log — Daily Journal
Run a quick 5-minute daily check-in. Ask 6 questions, save a structured note.
Interview Flow
Ask each question one at a time using AskUserQuestion. Keep it brisk and friendly.
Question 1: Energy
- Question: "How's your energy today?"
- Options:
["1-3 (Low)", "4-5 (Below average)", "6-7 (Good)", "8-10 (Great)"] - Map the answer to a number: Low=2, Below average=5, Good=7, Great=9
Question 2: Focus
- Question: "How well could you concentrate today?"
- Options:
["1-3 (Low)", "4-5 (Below average)", "6-7 (Good)", "8-10 (Great)"] - Map the answer to a number: Low=2, Below average=5, Good=7, Great=9
Question 3: Mood
- Question: "Overall mood?"
- Options:
["1-3 (Low)", "4-5 (Below average)", "6-7 (Good)", "8-10 (Great)"] - Map the answer to a number: Low=2, Below average=5, Good=7, Great=9
Question 4: Highlight
- Question: "What was the highlight of your day?"
- Options:
["Got something important done", "Had a great conversation", "Learned something new", "Other"] - Accept whatever they type — the options are just prompts.
Question 5: Blocker
- Question: "What slowed you down or frustrated you?"
- Options:
["Too many meetings", "Couldn't focus", "Stuck on a problem", "Nothing major", "Other"] - Accept whatever they type.
Question 6: Tomorrow
- Question: "What's the one thing you want to accomplish tomorrow?"
- Options:
["Finish a key task", "Start something new", "Clear my backlog", "Other"] - Accept whatever they type.
Save the Log
- Get today's date in YYYY-MM-DD format (run
date +%Y-%m-%dvia Bash). - Create the
notes/directory in the current working directory if it does not exist. - Write the file to
notes/daily-log-YYYY-MM-DD.mdwith this format:
# Daily Log — YYYY-MM-DD
## Vitals
- Energy: X/10
- Focus: X/10
- Mood: X/10
## Highlight
[their answer]
## Blocker
[their answer]
## Tomorrow
[their answer]
---
*Logged via /daily-log*
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.
- 12d ago First seen · 128 lines · 37 tokens per session scan A a384b66001f6
daily-log is a skill published in the GitHub repository BayramAnnakov/ai-personal-os-skills (20 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 1,252 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 2026-08-30.
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