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 agentmods add skills/yuizhou/dayarc-agent/dayarc-memorynpx skills add YuiZhou/dayarc-agent --skill dayarc-memorygit clone --depth 1 https://github.com/YuiZhou/dayarc-agentWrote 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/yuizhou/dayarc-agent/dayarc-memory)<a href="https://agentmods.dev/skills/yuizhou/dayarc-agent/dayarc-memory"><img src="https://agentmods.dev/badge/skills/yuizhou/dayarc-agent/dayarc-memory.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 | $0.00017 | $0.00515 |
| Opus 5 | $0.00009 | $0.00258 |
| Sonnet 5 | $0.00003 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
Dayarc Memory 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 5d 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.
What it actually says
Memory Location
~/Documents/dayarc/memory/
Operations
Read
Read any JSON file from the memory directory. Common files:
daily/daily-profile-{YYYY-MM-DD}.jsonweekly-summary-current.jsonweekly-summary-prev.jsonweekly-archive/{week-date}.jsonmonthly-summary.jsonmonthly-archive/{YYYY-MM}.jsonruns/{date}-{type}.json
To list files: list the contents of a subdirectory.
Write
Write JSON to the memory directory. ALWAYS read memory-schemas.md first and validate the structure.
⚠️ IMPORTANT — Always use PowerShell shell commands for all file writes. Never use the Copilot CLI built-in
createtool. Thecreatetool writes to the session sandbox, not to~/Documents/dayarc/memory/. Files written with it are lost when the session ends.Use this pattern for every write:
$memDir = Join-Path ([Environment]::GetFolderPath("MyDocuments")) "dayarc\memory" $json | Set-Content (Join-Path $memDir "{relative-path-to-file}") -Encoding UTF8For subdirectories (e.g.,
daily/,runs/,weekly-archive/), ensure the directory exists first:$dir = Join-Path $memDir "daily" if (-not (Test-Path $dir)) { New-Item -ItemType Directory -Path $dir -Force }
Memory Lifecycle (for scheduled plans)
- PM: write daily-profile-{today}.json
- Weekly: absorb prev → archive to weekly-archive/ → rotate current→prev → write new → purge dailies
- Monthly: absorb prev month → archive to monthly-archive/{YYYY-MM}.json → overwrite monthly-summary.json → purge weekly-archive older than current month → purge monthly-archive older than 6 months
Run Tags
Write runs/{date}-{type}.json (e.g., runs/2026-03-14-pm.json) before sending email. If tag exists, skip — already ran.
Instructions
When writing: validate against memory-schemas.md. When reading: handle missing files gracefully (bootstrap).
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.
- 5d ago First seen · 50 lines · 17 tokens per session scan A 8108910a4a41
Dayarc Memory is a skill published in the GitHub repository YuiZhou/dayarc-agent (2 stars, last pushed 10d ago), licensed MIT. It adds 17 tokens to every session and 515 once invoked, about $0.0001 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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