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/design-researchnpx skills add matthewdigiuseppe/MStack --skill design-researchgit 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/design-research)<a href="https://agentmods.dev/skills/matthewdigiuseppe/mstack/design-research"><img src="https://agentmods.dev/badge/skills/matthewdigiuseppe/mstack/design-research.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 | $0.00065 | $0.00677 |
| Opus 5 | $0.00032 | $0.00338 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
design-research 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/mstack:design-research
Stage: design Voice: design-critic
When to invoke
After /mstack:identification-review produces at least a Conditional pass. The question is no longer "can this be identified?" but "which design identifies it best given the constraints?"
Procedure
-
Load.
.mstack/hypotheses.md,.mstack/identification-review-*.md,.mstack/theory.md. -
Enumerate the design options. For the user's question, what designs could in principle answer it? Typically 2–4 of:
- Survey experiment / vignette / conjoint.
- Field experiment.
- Lab-in-the-field.
- RDD / IV / DiD on observational panel data.
- Pure cross-section observational.
- Comparative case / process-tracing (qualitative).
-
Score each design on five dimensions (qualitatively, 1 line per dim):
Dim What to ask Identification How cleanly does this design separate the effect from confounds? External validity How representative is the population the design generalizes to? Construct validity Does the operationalization measure what theory predicts? Statistical power Is the achievable N at this design enough to detect the expected effect? (Defer to /mstack:power-analysis.)Cost Time, money, IRB, fieldwork. -
Recommend one. State why this design dominates the others on the dimensions that matter most given the question. Be explicit about what the chosen design gives up — don't pretend it's a free win.
-
Identify the closest substitute. If the chosen design fails (e.g., no IRB, no funding, scoop), what's plan B? Save plan B to the file so the project doesn't restart from zero.
-
Save to
.mstack/design-research.md. Update.mstack/config.yaml: setdesign.typeandpaper.status: "designing".
Outputs
.mstack/design-research.md— option set, scores, choice, plan B..mstack/config.yaml—design.typeset.- Summary block: chosen design + the one dimension it underperforms on.
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.
- 5d ago First seen · 60 lines · 65 tokens per session scan A bda3e3e22de1
design-research is a skill published in the GitHub repository matthewdigiuseppe/MStack (14 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 677 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.
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