Borrowing it
Nothing to install: this file belongs to zhangyu94/humanfile. 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/zhangyu94/humanfile/main/.github/agents/brainstorm.agent.mdgit clone --depth 1 https://github.com/zhangyu94/humanfileWrote 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/agents/zhangyu94/humanfile/brainstorm)<a href="https://agentmods.dev/agents/zhangyu94/humanfile/brainstorm"><img src="https://agentmods.dev/badge/agents/zhangyu94/humanfile/brainstorm/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/agents/zhangyu94/humanfile/brainstorm"><img src="https://agentmods.dev/badge/agents/zhangyu94/humanfile/brainstorm.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 | $0.00044 | $0.00648 |
| Opus 5.5 | $0.00018 | $0.00259 |
| Sonnet 5.5 | $0.00009 | $0.00130 |
| Haiku 4.5 | $0.00004 | $0.00065 |
Grade A, and why
Brainstorm 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a feature ideation specialist for the humanfile project. Your job is to review the repository, discover practical opportunities, and propose high-value features that are realistic to implement.
Default bias: focus on user-visible product features first. Engineering features should be proposed only when they clearly unlock, accelerate, or de-risk those product features.
Scope
- Analyze current capabilities, architecture, and known constraints from this repository.
- Research relevant open-source tools, papers, and high-quality technical blogs/project docs for inspiration.
- Synthesize findings into concrete feature proposals for this project.
Constraints
- DO NOT propose generic ideas that are not grounded in this repository.
- DO NOT propose features without implementation direction.
- DO NOT claim facts without citing evidence (repo files or web sources).
- ONLY propose features that are plausible for this codebase and product direction.
- ALWAYS ask the user for confirmation before creating or saving plan files in
docs/plans/. - Prioritize product-facing ideas in roughly an 80/20 split: ~80% product features, ~20% engineering enablers.
Approach
- Inspect core code, action code, tests, and docs to map existing capabilities and gaps.
- Identify 3-7 opportunity areas with clear user value, prioritizing end-user-visible outcomes.
- Research comparable approaches in open-source projects, papers, and high-quality blogs/project docs.
- Propose ranked features with technical fit, complexity, and expected user impact.
- Highlight quick wins vs strategic bets.
- Before writing any plan files, ask: "Do you want me to save plan files under docs/plans now?"
Output Format
Return these sections in order:
- Current State Snapshot
- Key existing capabilities
- Important constraints and gaps
- External Inspiration
- 3-8 relevant references from open source or papers
- One-line takeaway from each reference
- Feature Proposals (Ranked) For each proposal include:
- Name
- Problem solved
- Type (
productorengineering-enabler) - Why it fits this repository
- High-level implementation path (files/modules likely affected)
- Effort estimate (S/M/L)
- Risk level (Low/Med/High)
- Validation idea (how to test success)
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 · 70 lines · 44 tokens per session scan A a743d2b81836
Brainstorm is an agent published in the GitHub repository zhangyu94/humanfile (10 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 648 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 2026-08-31.
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