Borrowing it
Nothing to install: this file belongs to Andyduck-ops/omp-flow. 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/Andyduck-ops/omp-flow/main/.agents/skills/omp-flow-brainstorm/SKILL.mdgit clone --depth 1 https://github.com/Andyduck-ops/omp-flowWrote 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/andyduck-ops/omp-flow/omp-flow-brainstorm)<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/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/andyduck-ops/omp-flow/omp-flow-brainstorm"><img src="https://agentmods.dev/badge/skills/andyduck-ops/omp-flow/omp-flow-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 | $0.00035 | $0.00936 |
| Opus 5.5 | $0.00014 | $0.00374 |
| Sonnet 5.5 | $0.00007 | $0.00187 |
| Haiku 4.5 | $0.00003 | $0.00094 |
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 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 — 81 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.mdor a linked framing Concept.
First-Principles Orientation
For non-trivial Explore, form or revise the Router's first-principles anchor(第一性锚定) in authored prose before broad Research. Name the concrete actor, action, outcome, human boundary, principal contradiction(主要矛盾), and evidence that could change the framing. Mechanical, low-ambiguity work may proceed directly.
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
- Read the entry Concept and follow only useful links from the Bundle.
- Record the initial request, concrete actors/action/outcome, current principal contradiction, and known repository facts in the assigned framing Concept.
- Read the material the request points to, then code, tests, docs, prior tasks, relevant history,
and applicable durable knowledge through the native
omp-flow-wikiSkill, before asking anything they already answer. - 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, and say what the answer would change. When the request already says what is wanted, play it back with what you found and ask only about the one open point whose answer would most change what gets built.
- Keep confirmed facts, assumptions, disagreements, alternatives, constraints, success criteria, and open questions distinct.
- 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. Clarify early which technical or medium choices the human wants to own versus delegate;
mark any agent-selected defaults or guesses explicitly as agent's call / provisional assumption
in playback and in
brainstorm.mdrather than blending them into human-confirmed requirements. - Update the linked framing Concept as decisions change. Chat is not the durable source.
- 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.
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 Changed · +5 lines 9d96c909cd21
- 2mo ago Changed · -3 lines 41bdeae66b2b
- 2mo ago First seen · 79 lines · 35 tokens per session scan A 883c25302b37
omp-flow-brainstorm is a skill published in the GitHub repository Andyduck-ops/omp-flow (6 stars, last pushed 9d ago), licensed MIT. It adds 35 tokens to every session and 936 once invoked, about $0.0001 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.
omp-flow-brainstorm compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| omp-flow-brainstormAndyduck-ops/omp-flow | Skill | 6 | 9d ago | MIT | A | 35 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |