Borrowing it
Nothing to install: this file belongs to ozgurkarahan/ai-agent-memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ozgurkarahan/ai-agent-memory/master/.github/instructions/plan-week.instructions.mdgit clone --depth 1 https://github.com/ozgurkarahan/ai-agent-memoryWrote 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/instructions/ozgurkarahan/ai-agent-memory/plan-week)<a href="https://agentmods.dev/instructions/ozgurkarahan/ai-agent-memory/plan-week"><img src="https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-memory/plan-week/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/instructions/ozgurkarahan/ai-agent-memory/plan-week"><img src="https://agentmods.dev/badge/instructions/ozgurkarahan/ai-agent-memory/plan-week.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 | $0.00320 | $0.00320 |
| Opus 5.5 | $0.00128 | $0.00128 |
| Sonnet 5.5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
ai-agent-memory plan-week.instructions.md 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 2mo 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
Plan Week
When the user says "plan week", "Monday plan", or "/plan-week":
Resolve the memory root
Resolve WIKI_ROOT using memory/schema.md, then schema.md, then the pointer in AGENT.md. Stop with the missing path if none contains both schema.md and index.md. All paths below are relative to WIKI_ROOT.
- Resolve active ISO week (TZ Europe/Paris) →
ops/weekly/2026-W{NN}.md. If missing, create the minimal weekly skeleton defined by theingestskill. - Lift carry-over from prior week's
### Seed for W{NN}block. - Find open
- [ ]todos recursively underwiki/, prioritizing pages updated in the last 14 days. - Optionally use any connected work-data source available to the agent for the next 7 days of calendar, flagged mail, or open collaboration threads. Skip this step when no such tool is available.
- Draft
## 🎯 Monday plangrouped by### [[topic]]. Show diff. User confirms. - Update
touches: []frontmatter with topic slugs touched. Bumpdate_updated.
Anti-patterns:
- ❌ Do not write to
ops/activity.jsonl— planning ≠ work. - ❌ Do not auto-resolve todos.
- ❌ Topics must be slugs in
index.md— else group under### unmapped.
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.
- 2mo ago First seen · 24 lines · 320 tokens per session scan A 960ea6df4e15
ai-agent-memory plan-week.instructions.md is an instructions file published in the GitHub repository ozgurkarahan/ai-agent-memory (8 stars, last pushed 3mo ago), licensed MIT. It adds 320 tokens to every session, about $0.0013 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 2026-08-31.
ai-agent-memory plan-week.instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-agent-memory plan-week.instructions.mdozgurkarahan/ai-agent-memory | Instructions file | 8 | 3mo ago | MIT | A | 320 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |