reflect

A weekly reflection report based on recent work patterns and the contents of BRAIN.md. It looks at activity such as work hours, commits, pull request size, and feature-to-fix balance.

In plain words
What is it for?
Reviewing the last 30 days, spotting cooling repositories or stale goals, and producing actionable recommendations for the week ahead.
Why use it?
It turns recent activity into specific observations about strengths, habits, blind spots, and possible improvements.

Command

Install

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.

agentmods
npx agentmods add commands/hrithik-gavankar/brainstack/reflect
Clone the repo
git clone --depth 1 https://github.com/Hrithik-Gavankar/brainstack
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 173 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00173
Opus 5 $0.00000 $0.00086
Sonnet 5 $0.00000 $0.00035
Haiku 4.5 $0.00000 $0.00017

Measured 2d ago against content hash 90484608fbf0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

website/docs/commands/reflect.md · 45 lines

What it actually says

reflect

Analyze current patterns and provide actionable feedback.

Usage

engineer-brain reflect

What it does

  1. Scans the last 30 days
  2. Reads BRAIN.md
  3. Applies pattern detection
  4. Generates a reflection report

Output format

## Reflection — 2026-07-13

### What You're Doing Well
[Specific patterns and evidence]

### Habit Observations
- Work hours, commit frequency, PR size, fix-to-feature ratio

### Blind Spots
[Cooling repos, skipped work types, stale goals]

### Recommendations
1. [Actionable suggestion]
2. [Actionable suggestion]
3. [Actionable suggestion]

Weekly — Friday afternoons work well as a week-in-review.

Changes

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.

  1. 2d ago First seen · 45 lines · 0 tokens per session scan A 90484608fbf0

Subscribe to this mod's changes

reflect is a command published in the GitHub repository Hrithik-Gavankar/brainstack (5 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 173 tokens. 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.