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 skills add scdenney/open-science-skills --skill conjoint-designgit clone --depth 1 https://github.com/scdenney/open-science-skillsWrote 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/scdenney/open-science-skills/conjoint-design)<a href="https://agentmods.dev/skills/scdenney/open-science-skills/conjoint-design"><img src="https://agentmods.dev/badge/skills/scdenney/open-science-skills/conjoint-design/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/scdenney/open-science-skills/conjoint-design"><img src="https://agentmods.dev/badge/skills/scdenney/open-science-skills/conjoint-design.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 | $0.00142 | $0.08454 |
| Opus 5 | $0.00071 | $0.04227 |
| Sonnet 5 | $0.00028 | $0.01691 |
| Haiku 4.5 | $0.00014 | $0.00845 |
Grade A, and why
conjoint-design 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 7d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
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.
- 7d ago Changed · +106 tokens per session 928e8f3b47e7
- 10d ago First seen · 115 lines · 36 tokens per session scan A 02a5b6ef9249
conjoint-design is a skill published in the GitHub repository scdenney/open-science-skills (55 stars, last pushed today), with no licence file. It adds 142 tokens to every session and 8,454 once invoked, about $0.0007 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
qector-math-foundations
The strict mathematical ground rules for every QECTOR claim. Encodes the F2 notation, the 16 correctness theorems, the Wilson 95% score interval for LER, the required-artifact- metadata contract, safe-wording rules, and the published limitations that must travel with every claim (reference manual v1.0.0, DOI…
qector-core
Core domain knowledge and verified facts for the QECTOR quantum error correction platform (plugin v1.0.6, decoder wheel 1.0.0). Covers the app-free library MCP server (8 stable tools), the opt-in research server (29 provisional tools including the evidence layer), the privileged admin server (3 tools), 11 slash…
qector-bp-osd
Belief propagation with ordered-statistics post-processing (BP-OSD) for QECTOR. Covers the box-plus kernel phi(x) = -ln(tanh(x/2)), the log-domain sum-product / min-sum / relay schedules, the OSD-0 / OSD-W solve (Theorem 11), the ambiguity-cluster partition (Theorem 12), and the worked examples from the v1.0.0…
qector-codes-builder
Building and inspecting QEC codes for QECTOR. Covers the v1.0.0 library code families (repetition, ring, rotatedsurface, unrotatedsurface, toric, heavyhex, colorcode), the legacy generatechecks generators, and the custom-matrix / hypergraph-product / bicycle paths. Load when a question asks "what code should I use?"…
qector-decoders-deep-dive
Per-decoder internals from the v1.0.0 reference manual. For each of the fifteen specialised backends, gives the algorithm, the theorem(s) it inherits, its claim boundary, and a one-line code snippet. Load when a question asks "how does X work", "which decoder is right for Y", or "what is the difference between A and…
qector-glossary
QECTOR terminology, notation, and symbols from the v1.0.0 reference manual (Appendix A and B). Load for any question about what a term means, what symbol is used, or how the notation is written.