Borrowing it
Nothing to install: this file belongs to sophonfinance-wq/finance-automation-portfolio. 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/sophonfinance-wq/finance-automation-portfolio/main/.claude/skills/brain/SKILL.mdgit clone --depth 1 https://github.com/sophonfinance-wq/finance-automation-portfolioWrote 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/sophonfinance-wq/finance-automation-portfolio/brain)<a href="https://agentmods.dev/skills/sophonfinance-wq/finance-automation-portfolio/brain"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/brain/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/sophonfinance-wq/finance-automation-portfolio/brain"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/brain.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 | $0.00050 | $0.00302 |
| Opus 5 | $0.00025 | $0.00151 |
| Sonnet 5 | $0.00010 | $0.00060 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
brain 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 12d 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
Knowledge Brain Engine
Package brain_engine in knowledge-brain-engine/. Stdlib TF-IDF, no network. Exit codes: 0 sourced, 2 usage error, 3 refusal.
Commands (run from knowledge-brain-engine/)
python -m brain_engine ask "how do we handle FX on ACB?"
python -m brain_engine --cite "distributions draw exempt surplus first"
python -m brain_engine remediate "Surplus Review" # reviewer corrections -> apply-ready prompt
python -m brain_engine.loop --demo # INTEGRITY LOOP: re-derive tampered entries verbatim
python -m pytest -q # 7,011 tests
Loop verdicts (brain_engine/loop.py)
CLEAN (0) / REMEDIATED (0) / ESCALATED (3 — the engine's refusal code).
The signature rule: tampered text/speakers are re-derived BYTE-FOR-BYTE from Corpus.utterance_text; orphaned citations (no utterance behind them) are quarantined, never repaired — no source, no guess.
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.
- 12d ago First seen · 21 lines · 50 tokens per session scan A 165805958d95
brain is a skill published in the GitHub repository sophonfinance-wq/finance-automation-portfolio (11 stars, last pushed 16d ago), licensed MIT. It adds 50 tokens to every session and 302 once invoked, about $0.0003 per session on Opus 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 skills, from other repositories
correction-memory
A local memory system that stores tax-accountant corrections to transaction classifications. It matches future transactions to earlier vendor or description patterns.
status
Use when the user wants a one-screen view of current hyperflow project state — version, profile freshness, memory count, and live progress on every in-flight task. Read-only; never modifies state, never dispatches workers. Trigger with /hyperflow:status, "what is hyperflow doing", "show task progress", "where are we".
notes
Skill "notes" from Pinvou/pinvou-agent, covering ima notes, operations, write rules, examples and response handling.
exploiting-format-string-vulnerabilities
Methodology for exploiting format string bugs where attacker-controlled data reaches the format argument of printf-family functions, enabling stack/memory disclosure (info leaks for ASLR/PIE/canary defeat) and arbitrary write primitives (%n) to hijack control flow via GOT/.finiarray overwrites.
taiyi-compress
A workflow tool for shrinking large coding-agent conversations and work files into shorter context notes. It can also coordinate separate agents for parallel development and create handoff notes for continuing work in a new session.
learn-from-fix
Capture Elixir/Ecto/LiveView lessons and Hex API rules. Use after corrections or when asked to document learning, record a lesson, prevent a fixed mistake, or remember package guidance with --library.