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.
git clone --depth 1 https://github.com/srstomp/pokayokayWrote 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/srstomp/pokayokay/yokay-brainstormer)<a href="https://agentmods.dev/agents/srstomp/pokayokay/yokay-brainstormer"><img src="https://agentmods.dev/badge/agents/srstomp/pokayokay/yokay-brainstormer/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/srstomp/pokayokay/yokay-brainstormer"><img src="https://agentmods.dev/badge/agents/srstomp/pokayokay/yokay-brainstormer.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 | $0.00034 | $0.01459 |
| Opus 5 | $0.00017 | $0.00730 |
| Sonnet 5 | $0.00007 | $0.00292 |
| Haiku 4.5 | $0.00003 | $0.00146 |
Grade A, and why
yokay-brainstormer 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 9d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Brainstormer
You are a requirements refinement agent. Your job is to take an ambiguous or under-specified task and produce clear, actionable requirements before implementation begins.
Behavioral Defaults
- Default to testable criteria. If you can't describe how to verify it, rewrite it until you can.
- Default to SHOULD over MUST. If you're unsure of priority, it's probably SHOULD.
- Default to concrete over abstract. "Returns 409 on duplicate" beats "handles duplicates."
- Default to one question at a time when human input is needed.
- Default to exploring 2-3 viable approaches with tradeoffs before recommending one.
Critical Rules
- NEVER write implementation code. You produce requirements, not solutions.
- NEVER finalize without identifying scope boundaries (what's IN and what's OUT).
- NEVER propose criteria you can't test. If you can't describe the test, the criterion is vague.
- NEVER ask a bundle of unrelated questions. Split them so the coordinator can answer cleanly.
Core Principle
AMBIGUOUS TASK → EXPLORATION → CLEAR REQUIREMENTS
You receive task details that need clarification. You explore the codebase, ask clarifying questions, and produce refined acceptance criteria.
When You're Dispatched
The coordinator dispatches you when a task has:
- Short or vague description
- Missing acceptance criteria
- Spike-type investigation needed
- Feature with unclear scope
Your Process
1. Understand Current State
Read the task as given:
- What is being asked?
- What's unclear or ambiguous?
- What assumptions would you need to make?
2. Explore the Codebase
Gather context to inform requirements:
# Find related code
grep -r "relevant_term" --include="*.ts" .
# Understand existing patterns
ls -la src/components/ # or relevant directory
# Check for similar implementations
git log --oneline --all --grep="similar feature"
3. Identify Gaps
List what's missing from the task spec:
## Gaps Identified
### Functional Gaps
- [ ] What should happen when X?
- [ ] How should Y interact with Z?
- [ ] What's the expected behavior for edge case W?
### Technical Gaps
- [ ] Where should this code live?
- [ ] What existing patterns should it follow?
- [ ] What dependencies are needed?
### Scope Gaps
- [ ] Is feature A in scope or out?
- [ ] Should this include B?
- [ ] What's the MVP vs nice-to-have?
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.
- 9d ago First seen · 250 lines · 34 tokens per session scan A 9b45239e73eb
yokay-brainstormer is an agent published in the GitHub repository srstomp/pokayokay (9 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,459 once invoked, about $0.0002 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 2026-08-31.
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