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 agentmods add skills/matthewdigiuseppe/mstack/idea-shotgunnpx skills add matthewdigiuseppe/MStack --skill idea-shotgungit clone --depth 1 https://github.com/matthewdigiuseppe/MStackWrote 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/matthewdigiuseppe/mstack/idea-shotgun)<a href="https://agentmods.dev/skills/matthewdigiuseppe/mstack/idea-shotgun"><img src="https://agentmods.dev/badge/skills/matthewdigiuseppe/mstack/idea-shotgun.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00616 |
| Opus 5 | $0.00034 | $0.00308 |
| Sonnet 5 | $0.00014 | $0.00123 |
| Haiku 4.5 | $0.00007 | $0.00062 |
Grade A, and why
idea-shotgun 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 6d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/mstack:idea-shotgun
Stage: ideate Voice: generative
When to invoke
You have data, a topic, or an unanswered question — and you're not yet committed to a specific angle. The shotgun produces variants so you pick from a set instead of from a hunch.
Procedure
-
Load context. Read any
.mstack/research-question.md(if a prior attempt exists) and the data documentation if applicable. -
Ask the user for the seed. One paragraph: what they have (data, theoretical interest), what they think the question might be, and what audience they imagine.
-
Generate 4–6 angles. Each must vary along one of:
- Same data, different question.
- Same question, different identification.
- Same identification, different scope (population, time, treatment).
- Same headline, different audience (IPE / comparative / methods / public).
-
Score each angle on a 4-cell card:
ANGLE N: <one-sentence claim> -------- Contribution: <one sentence — what new sentence this adds to the literature> Identification: <one sentence — how to separate the effect from the obvious confound> Cost: <data-acquire weeks | analysis weeks | total months> Risk: <highest single risk: data, identification, scoop, fit> -
Rank. Score each on
(contribution × tractability) / (cost × risk)qualitatively. Surface the top 2 to the user. -
Save to
.mstack/idea-shotgun-<YYYY-MM-DD>.mdwith all angles, including the ones not surfaced — they may be next year's paper.
Outputs
.mstack/idea-shotgun-<date>.md— full angle set with cards.- Summary block: top 2 angles with a one-line case for each, and a recommendation on which to take to
/mstack:research-question.
Anti-patterns to refuse
- Variations on a theme. If five angles are all "the same question with one variable swapped," that's not divergence. Push for genuinely different framings.
- Defaulting to the user's seed. The shotgun is most valuable when at least one angle reframes the question entirely.
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.
- 6d ago First seen · 59 lines · 69 tokens per session scan A f73d92feff88
idea-shotgun is a skill published in the GitHub repository matthewdigiuseppe/MStack (14 stars, last pushed 9d ago), licensed MIT. It adds 69 tokens to every session and 616 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
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…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…