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 VectorPeak/vectorpeak-agent-skills --skill daily-notes-vpgit clone --depth 1 https://github.com/VectorPeak/vectorpeak-agent-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/vectorpeak/vectorpeak-agent-skills/daily-notes-vp)<a href="https://agentmods.dev/skills/vectorpeak/vectorpeak-agent-skills/daily-notes-vp"><img src="https://agentmods.dev/badge/skills/vectorpeak/vectorpeak-agent-skills/daily-notes-vp.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 | $0.00108 | $0.01646 |
| Opus 5 | $0.00054 | $0.00823 |
| Sonnet 5 | $0.00022 | $0.00329 |
| Haiku 4.5 | $0.00011 | $0.00165 |
Grade A, and why
daily-notes-vp 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Notes VP
Purpose
Use this skill to append lightweight personal learning records into the raw daily-notes layer.
This skill is for raw capture, not polished Wiki writing. Preserve the user's intent, keep the entry easy to read, and avoid turning a quick note into a heavy template.
Destination
Default destination:
E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes\YYYY-MM-DD_YYYY-MM-DD.md
Use 10-day buckets:
- Day 01-10:
YYYY-MM-01_YYYY-MM-10.md - Day 11-20:
YYYY-MM-11_YYYY-MM-20.md - Day 21-end: use the actual last day of the month, such as
YYYY-MM-21_YYYY-MM-28.md,YYYY-MM-21_YYYY-MM-30.md, orYYYY-MM-21_YYYY-MM-31.md
Examples:
E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes\2026-06-01_2026-06-10.md
E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes\2026-06-11_2026-06-20.md
E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes\2026-06-21_2026-06-30.md
If E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes does not exist, ask the user before writing somewhere else. Do not silently fall back to the current workspace.
File Header
When creating a new 10-day file, use this header:
---
type: daily-notes
date_range: YYYY-MM-DD_YYYY-MM-DD
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags:
- daily-notes
- raw
- learning
ai-first: true
---
## For future Claude
这是原始学习记录，后续可整理到 Wiki。
When appending to an existing file, update only the updated date. Do not rewrite older entries.
Daily Structure
Each date uses this fixed order:
## YYYY-MM-DD
### Goal-目标
### Question-疑问
### Code-代码
### Concept-概念
### Pitfall-踩坑
If the date section does not exist, create it with all five headings in this order. If a category heading is missing, add it in the correct order.
Categories
Classify each item into exactly one category unless the user explicitly gives multiple items:
Goal-目标: short-term learning goals, small study tasks, today's focus, review plansQuestion-疑问: doubts, questions, interview questions, things the user wants explained laterCode-代码: code questions, code snippets, commands, tiny examples, API usage notes, implementation ideas, or code-shaped material the user wants to revisit later. Treat it as close toQuestion-疑问, but use it when the note is centered on code, command usage, function behavior, configuration snippets, or implementation details.Concept-概念: terms, definitions, methods, models, mechanisms, reusable conceptual notesPitfall-踩坑: debugging lessons, deployment incidents, configuration traps, dependency or route conflicts, "what went wrong / why / how to avoid it next time" experience notes
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.
- 6d ago First seen · 188 lines · 108 tokens per session scan A 635f0f90413f
daily-notes-vp is a skill published in the GitHub repository VectorPeak/vectorpeak-agent-skills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 108 tokens to every session and 1,646 once invoked, about $0.0005 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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