Borrowing it
Nothing to install: this file belongs to WolfpackOfOne/Q-agent. 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/WolfpackOfOne/Q-agent/main/.claude/commands/reflect.mdgit clone --depth 1 https://github.com/WolfpackOfOne/Q-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/commands/wolfpackofone/q-agent/reflect)<a href="https://agentmods.dev/commands/wolfpackofone/q-agent/reflect"><img src="https://agentmods.dev/badge/commands/wolfpackofone/q-agent/reflect/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/wolfpackofone/q-agent/reflect"><img src="https://agentmods.dev/badge/commands/wolfpackofone/q-agent/reflect.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 | $0.00017 | $0.00285 |
| Opus 5.5 | $0.00007 | $0.00114 |
| Sonnet 5.5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
reflect 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
Reflect
Review .claude/memory/pending.md and promote only durable, reusable project knowledge into the appropriate memory file:
.claude/memory/commands.mdfor confirmed commands that are useful to reuse.claude/memory/lean-gotchas.mdfor confirmed LEAN, Docker, cloud, or research-container issues and fixes.claude/memory/wrds-data-sources.mdfor WRDS/CRSP table, extraction, or schema notes.claude/memory/objectstore.mdfor ObjectStore keys, schema notes, and migration cautions.claude/memory/decisions.mdfor architecture or workflow decisions and their rationale.claude/memory/teaching-style.mdfor durable teaching or demo preferences
Rules:
- Do not store secrets, usernames, tokens, DSNs, config values, or private credentials.
- Do not promote one-off command history unless it represents a reusable workflow.
- Rewrite promoted entries into concise, stable notes with enough context to be useful later.
- Leave ambiguous entries in
pending.md. - After promotion, remove only the entries you promoted from
pending.md.
$ARGUMENTS
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 · 28 lines · 17 tokens per session scan A 15cb410799b2
reflect is a command published in the GitHub repository WolfpackOfOne/Q-agent (5 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 285 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 2026-08-31.
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.