omp-flow-brainstorm

omp-flow-brainstorm is a skill for Claude Code, Codex from Andyduck-ops/omp-flow. It costs 35 tokens per session (882 once invoked), scanned A, original, MIT.

A guided discussion for clarifying an omp-flow task Bundle, a structured group of task information, when its goal, scope, constraints, options, or success criteria are unclear.

In plain words
What is it for?
Use it to frame or reframe a non-trivial task, identify the main problem and desired outcome, compare alternatives, and decide what evidence could change the plan.
Why use it?
It helps resolve uncertainty before work begins and keeps the agreed direction tied to repository or wiki evidence.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/andyduck-ops/omp-flow/omp-flow-brainstorm
Any agent
npx skills add Andyduck-ops/omp-flow --skill omp-flow-brainstorm
Clone the repo
git clone --depth 1 https://github.com/Andyduck-ops/omp-flow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for omp-flow-brainstorm

README.md
[![agentmods](https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-brainstorm.svg)](https://agentmods.dev/skills/andyduck-ops/omp-flow/omp-flow-brainstorm)
Your own site
<a href="https://agentmods.dev/skills/andyduck-ops/omp-flow/omp-flow-brainstorm"><img src="https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-brainstorm.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 882 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00035 $0.00882
Opus 5 $0.00017 $0.00441
Sonnet 5 $0.00007 $0.00176
Haiku 4.5 $0.00003 $0.00088

Measured 4d ago against content hash 883c25302b37, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

omp-flow-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 4d 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.

.agents/skills/omp-flow-brainstorm/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMP-Flow Brainstorm

Preconditions

  • The user consented to task creation or selected an existing task.
  • The active task is a readable Bundle with a root index.
  • The assignment identifies the Bundle root, bounded objective, entry Concept, and allowed output.
  • The entry normally points to brainstorm.md or a linked framing Concept.

First-Principles Orientation

For a non-trivial Explore, use repository/Wiki evidence and human calibration to form or revise a provisional first-principles anchor(第一性锚定)before broad Research. Keep it in useful authored prose, not a required file or fixed checklist. It should be sufficient to expose the concrete actors and action, observable intended outcome, current principal contradiction(主要矛盾), irreducible outcome, human boundaries, a strong counter-hypothesis, and evidence that would revise the framing. Mechanical low-ambiguity work may proceed directly when this would not improve a decision.

Concentrate interaction on the material decision frontier:

  • For purpose, values, risk tolerance, and non-negotiable outcomes, the human states a position first; then give the strongest counter-case, counterexample, and consequence.
  • For evidence-led technical choices, an Agent may lead with a recommendation only when it also gives the strongest counter-case and a falsifier: the evidence that would overturn it.
  • Use targeted high-intensity Grill only while a question can change the problem core or outcome. Do not exhaust branches, prescribe a question count, or let the Agent silently rank human values.

Interview Contract

  1. Read the entry Concept and follow only useful links from the Bundle.
  2. Record the initial request, concrete actors/action/outcome, current principal contradiction, and known repository facts in the assigned framing Concept.
  3. Inspect code, tests, docs, prior tasks, relevant history, and applicable durable knowledge through the native omp-flow-wiki Skill before asking repository-answerable questions.
  4. Ask the user one material decision question at a time. Ask only about purpose, value, risk tolerance, preference, or use that repository and other relevant practice evidence cannot establish.
  5. Keep confirmed facts, assumptions, disagreements, alternatives, constraints, success criteria, and open questions distinct.
  6. Present materially different directions only when a real choice exists. Follow the human-first and recommendation/counter-case order above instead of anchoring value choices with a model default.
  7. Update the linked framing Concept as decisions change. Chat is not the durable source.
  8. When a question needs evidence, link a bounded research Concept or assignment and state what anchor assumption, contradiction, or practical decision the result may change. When research confirms, revises, or falsifies the framing, update the authored anchor and next question. This is a practice test(实践检验)spiral, not a one-way gate.

Read the full file on GitHub · 79 lines

Changes

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.

  1. 4d ago First seen · 79 lines · 35 tokens per session scan A 883c25302b37

Subscribe to this mod's changes

omp-flow-brainstorm is a skill published in the GitHub repository Andyduck-ops/omp-flow (6 stars, last pushed 8d ago), licensed MIT. It adds 35 tokens to every session and 882 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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