Borrowing it
Nothing to install: this file belongs to poteto/brainmaxxing. 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/poteto/brainmaxxing/main/.agents/skills/reflect/SKILL.mdgit clone --depth 1 https://github.com/poteto/brainmaxxingWrote 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/poteto/brainmaxxing/reflect)<a href="https://agentmods.dev/skills/poteto/brainmaxxing/reflect"><img src="https://agentmods.dev/badge/skills/poteto/brainmaxxing/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/skills/poteto/brainmaxxing/reflect"><img src="https://agentmods.dev/badge/skills/poteto/brainmaxxing/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 | $0.00040 | $0.00514 |
| Opus 5.5 | $0.00016 | $0.00206 |
| Sonnet 5.5 | $0.00008 | $0.00103 |
| Haiku 4.5 | $0.00004 | $0.00051 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reflect
Review the conversation and persist learnings — to brain/, to skill files, or as structural enforcement.
Process
- Read
brain/index.mdto understand what notes already exist - Scan the conversation for:
- Mistakes made and corrections received
- User preferences and workflow patterns
- Codebase knowledge gained (architecture, gotchas, patterns)
- Tool/library quirks discovered
- Decisions made and their rationale
- Friction in skill execution, orchestration, or delegation
- Repeated manual steps that could be automated or encoded
- Skip anything trivial or already captured in existing brain files
- Route each learning to the right destination (see Routing below)
- Update
brain/index.mdif any brain files were added or removed
Routing
Not everything belongs in the brain. Route each learning to where it will have the most impact.
Structural enforcement check
Before routing a learning to brain/, ask: can this be a lint rule, script, metadata flag, or runtime check? If yes, encode it structurally and skip the brain note. See brain/principles/encode-lessons-in-structure.md.
Brain files (brain/)
Codebase knowledge, principles, gotchas — anything that informs future sessions. This is the default destination. Use the brain skill for writing conventions.
- One topic per file. File name = topic slug.
- Group in directories with index files using
[[wikilinks]]. - No inlined content in index files.
Skill improvements (.agents/skills/<skill>/)
If a learning is about how a specific skill works — its process, prompts, or edge cases — update the skill directly.
Backlog items
Follow-up work that can't be done during reflection — bugs, non-trivial rewrites, tooling gaps. File as a todo or backlog item.
Summary
## Reflect Summary
- Brain: [files created/updated, one-line each]
- Skills: [skill files modified, one-line each]
- Structural: [rules/scripts/checks added]
- Todos: [follow-up items filed]
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 · 61 lines · 40 tokens per session scan A 9489b1126ea8
reflect is a skill published in the GitHub repository poteto/brainmaxxing (342 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 514 once invoked, about $0.0002 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.
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