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.
npx skills add oleg494/coding-kit --skill brainstorminggit clone --depth 1 https://github.com/oleg494/coding-kitWrote 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/oleg494/coding-kit/brainstorming)<a href="https://agentmods.dev/skills/oleg494/coding-kit/brainstorming"><img src="https://agentmods.dev/badge/skills/oleg494/coding-kit/brainstorming/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/oleg494/coding-kit/brainstorming"><img src="https://agentmods.dev/badge/skills/oleg494/coding-kit/brainstorming.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 | $0.00043 | $0.01452 |
| Opus 5.5 | $0.00017 | $0.00581 |
| Sonnet 5.5 | $0.00009 | $0.00290 |
| Haiku 4.5 | $0.00004 | $0.00145 |
Grade A, and why
brainstorming 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming Ideas Into Designs
Understand the requested outcome, inspect existing patterns, choose a complete solution, and continue through implementation when that is what the user asked. Authorization and stop conditions come from OPS.md §1, not the design phase. A requested local auth, schema or dependency change needs risk-appropriate checks, not redundant permission merely because of its category.
Choose the necessary design depth
- Investigation/spike: answer a feasibility question with a bounded probe. Define what the probe measures, run it, report evidence and limitations. Do not silently turn a requested investigation into a permanent feature.
- Bounded change: trace the existing flow and affected callers, resolve details from code, state the approach briefly, implement and verify.
- Architectural change: map responsibilities, interfaces, state transitions, compatibility and failure handling before code. Decompose independent capabilities with explicit integration contracts; complete every requested capability, not only the first sub-project.
Complexity determines design depth, not permission. Reclassify when new facts change the approach; no mandatory heavier-path tie-break or approval pause. Plan/design-only requests stop at their requested deliverable.
Design workflow
- Inspect context. Read the relevant implementation, configuration and existing decisions. Reuse project conventions rather than adding a parallel design. Do not ask the user for repository-provided information.
- Define done. Capture required behaviors, compatibility, constraints, excluded work and observable acceptance. A simpler implementation must still deliver all requested formats, paths, error behavior and quality.
- Resolve uncertainty. Decide ordinary details from evidence and explain consequential defaults. When something non-trivial about the intent is missing, ask one open, description-first question anchored in specifics ("walk me through the last time this hurt you?", "what would make you wince if I got it wrong?") rather than a steering option menu; offer a short menu only when the user is stuck or asks what you think. Ask only when an unavailable answer would materially change the outcome or an action lacks authority. Batch related questions; continue independent authorized work when possible.
- Compare real alternatives. Include alternatives only when they have meaningful tradeoffs. Prefer the simplest complete approach; do not invent options to fill a quota. Existing proven patterns may settle the decision.
- Design the change. Cover components, data flow, errors, integration, migration and verification at the depth needed. Separate units by reason for change, keep concrete interfaces, avoid unrelated restructuring. Consequential platform, language, library or medium choices rest on repo defaults and existing patterns where they exist; when you choose one the user has not stated, own it as your call in plain words, never record it as something the user agreed to, and surface it early enough to correct cheaply.
- Check the design. Resolve contradictions, placeholders, missing required paths and uncertain boundaries. Map acceptance to checks before coding. For a complex design, also run a builder-perspective ambiguity check: read the design as a builder who cannot ask you anything, and collect only the points where a wrong guess would change what gets built — skip wording nitpicks and anything the design explicitly leaves to the builder. Use an available reviewer when independent perspective is useful and host rules permit it; otherwise do the check yourself. Answer the answerable from evidence and mark those calls as yours; bring the genuinely user-owned questions in one batch, most important first. Scale this check to design complexity; a bounded change needs little or none of it.
- Continue. Use writing-plans for complex execution, then implement and verify without asking the user to approve the same authorized work again.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago Changed · +31 lines 52d28af6a0d5
- 8d ago Changed 23a9d75c8b79
- 11d ago Changed fa23e8f0dfcf
- 20d ago Changed · +17 lines 3b581d4b430c
- 25d ago Changed · -17 lines 6bbc7b923361
- 26d ago Changed · +17 lines 6121e9b256c2
- 1mo ago Changed b56d7d333e30
- 1mo ago Changed · -152 lines · +6 tokens per session 3ad79cd4f862
- 1mo ago Changed dad940f6247b
- 1mo ago First seen · 234 lines · 37 tokens per session scan A 1f87ba9b6636
brainstorming is a skill published in the GitHub repository oleg494/coding-kit (3 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 1,452 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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