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.
git clone --depth 1 https://github.com/maorfsdev/reflect-yourselfWrote 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/commands/maorfsdev/reflect-yourself/reflect-yourself-queue)<a href="https://agentmods.dev/commands/maorfsdev/reflect-yourself/reflect-yourself-queue"><img src="https://agentmods.dev/badge/commands/maorfsdev/reflect-yourself/reflect-yourself-queue/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/commands/maorfsdev/reflect-yourself/reflect-yourself-queue"><img src="https://agentmods.dev/badge/commands/maorfsdev/reflect-yourself/reflect-yourself-queue.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 | $0.00014 | $0.00350 |
| Opus 5.5 | $0.00006 | $0.00140 |
| Sonnet 5.5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
/reflect-yourself-queue 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.
What it actually says
/reflect-yourself-queue - View Pending Learnings
View the queue of captured learnings without processing them.
Instructions for Agent
- Read the queue file at
~/.cursor/reflect-queue.json(global location) - If the file doesn't exist or is empty, report "No pending learnings"
- Display learnings in a compact card-style list (no wide tables — they cause horizontal scroll):
## Pending Learnings Queue
**Total:** 2 pending learnings
---
### 1. [correction] Use prepared statements
**Date:** Jan 29 · **Confidence:** 0.85 · **Status:** pending
---
### 2. [preference] Prefer async/await over callbacks
**Date:** Jan 28 · **Confidence:** 0.80 · **Status:** pending
---
- If there are learnings with
status: "applied", note that they can be cleaned up - Show age of oldest learning to encourage processing (e.g. "Oldest: 3 days")
- Ask questions (Cursor agent tool): When items exist, use the Ask questions tool (message-question; Cursor docs → Agent overview → Tools): "Process queue now?" with options Yes (run
/reflect-yourselfto process) / No / Discard all (run/reflect-yourself-skip). If the tool is unavailable, present the options in text and wait for reply (e.g. yes / no / discard). Do not proceed without explicit user choice.
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 · 38 lines · 14 tokens per session scan A a6dc4ea4b596
/reflect-yourself-queue is a command published in the GitHub repository maorfsdev/reflect-yourself (25 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 350 once invoked, about $0.0001 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.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.