brainstorm-beagle

brainstorm-beagle is a skill for Claude Code, Codex from existential-birds/beagle. It costs 106 tokens per session (4,525 once invoked), scanned A, original, Apache-2.0.

A guided process for turning a vague project idea into a clear specification, describing what should be built and why without describing implementation details.

In plain words
What is it for?
Use it to shape an idea, feature request, or unclear project description into a standalone spec that people and coding agents can use.
Why use it?
It surfaces unanswered questions and assumptions before planning or coding begins, reducing the risk of building the wrong thing.

Skill for Claude CodeCodex

Part of the beagle-analysis plugin — 14 skills shipped together

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/existential-birds/beagle/brainstorm-beagle
Any agent
npx skills add existential-birds/beagle --skill brainstorm-beagle
Clone the repo
git clone --depth 1 https://github.com/existential-birds/beagle

Made for: Claude Code, Codex.

Or install beagle-analysis, the plugin that ships this one along with the rest of its 14 skills.

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 brainstorm-beagle

README.md
[![agentmods](https://agentmods.dev/badge/skills/existential-birds/beagle/brainstorm-beagle.svg)](https://agentmods.dev/skills/existential-birds/beagle/brainstorm-beagle)
Your own site
<a href="https://agentmods.dev/skills/existential-birds/beagle/brainstorm-beagle"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/brainstorm-beagle.svg" alt="Measured on agentmods" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,525 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 5.1 $0.00106 $0.04525
Opus 5 $0.00053 $0.02263
Sonnet 5 $0.00021 $0.00905
Haiku 4.5 $0.00011 $0.00453

Measured 5d ago against content hash 55b7adef3195, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

brainstorm-beagle 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 5d 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.

plugins/beagle-analysis/skills/brainstorm-beagle/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brainstorm: Ideas Into Specs

Turn a fuzzy idea into a comprehensive, implementation-free project spec through collaborative dialogue.

The output is a standalone spec document — structured enough for any agentic system to consume, clear enough for a human to act on. It captures WHAT and WHY, never HOW.

<hard_gate> Do NOT write any code, create implementation plans, scaffold projects, or take any implementation action. This skill produces a SPEC DOCUMENT only. Every project goes through this process regardless of perceived simplicity — "simple" projects are where unexamined assumptions waste the most work. </hard_gate>

Workflow

Complete these steps in order:

  1. Check for a concept brief — if .beagle/concepts/<slug>/brief.md exists for this idea, ingest it and skip most of steps 2-4 (see Concept brief ingestion below)
  2. Explore context — read project files, docs, git history, existing specs (lighter pass if a brief is present)
    • Prior art check (brownfield only): before specing a feature onto an existing codebase, run a neutral capability sweep to confirm the thing doesn't already exist (see Prior Art Check below). Runs regardless of whether a brief is present.
  3. Assess scope — is this one spec or does it need decomposition?
  4. Ask clarifying questions — one at a time, follow the thread (few to none if a brief is present)
  5. Propose 2-3 directions — high-level product approaches with tradeoffs
  6. Draft spec — write the structured spec document
  7. Self-review — check for completeness, contradictions, implementation leakage (see references/spec-reviewer.md)
  8. User review — present for approval, iterate if needed
  9. Write to disk — save to .beagle/concepts/<slug>/spec.md
Brief present? ──→ Yes → Ingest brief (skip most discovery) ──┐
                ──→ No  → Explore context → Assess scope       │
                                            ├─ Too large? → Decompose → Brainstorm first sub-project
                                            └─ Right size? → Clarifying questions ─┘
                                                                                   │
Brownfield? ──→ Yes → Prior art check (neutral capability sweep) ─→ Already exists? ─→ surface, reshape/kill spec
            ──→ No  → skip ─────────────────────────────────────────────────────────────────────┐
                                                                                                  │
Both paths converge → Propose directions → Draft spec → Self-review (fix inline) → User review
                                                                                        ├─ Changes? → Revise
                                                                                        └─ Approved? → Write to concept folder

Read the full file on GitHub · 271 lines

Files

What ships with it

2 files 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.

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. 5d ago First seen · 271 lines · 106 tokens per session scan A 55b7adef3195

Subscribe to this mod's changes

brainstorm-beagle is a skill published in the GitHub repository existential-birds/beagle (80 stars, last pushed 26d ago), licensed Apache-2.0. It adds 106 tokens to every session and 4,525 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens