Borrowing it
Nothing to install: this file belongs to fl-sean03/OpenSDL. 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/fl-sean03/OpenSDL/main/.agents/skills/design-lab/SKILL.mdgit clone --depth 1 https://github.com/fl-sean03/OpenSDLWrote 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/fl-sean03/opensdl/design-lab)<a href="https://agentmods.dev/skills/fl-sean03/opensdl/design-lab"><img src="https://agentmods.dev/badge/skills/fl-sean03/opensdl/design-lab/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/fl-sean03/opensdl/design-lab"><img src="https://agentmods.dev/badge/skills/fl-sean03/opensdl/design-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.00981 |
| Opus 5.5 | $0.00030 | $0.00392 |
| Sonnet 5.5 | $0.00015 | $0.00196 |
| Haiku 4.5 | $0.00007 | $0.00098 |
Grade A, and why
design-lab 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 2mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design a laboratory for its application
Apply the method in docs/guides/design-a-lab.md. This procedure records its output as durable
decisions in a laboratory repository.
Boundary with start-here
Use design-lab for plant and interface questions: what to build, which requirement drives it, which
choices cannot be revised later, and how a pattern from another field transfers to this material
system. Use start-here for OpenSDL configuration: repository context, inventory, capability
mapping, and the first workflow. A design session usually precedes a start-here session, or
interrupts one when a configuration question turns out to be a physical one.
Inputs
- the decision the loop must make, and the measurement that informs it;
- the material system and its relevant properties or hazard classes;
- throughput, cycle time, and expected campaign length;
- existing equipment, facility constraints, and budget envelope; and
- the intended growth path beyond the first workflow.
Begin with partial input. Ask only for what changes the recommendation.
Procedure
- Read the nearest
AGENTS.mdand inspect Git state before changing files. In a laboratory repository, readdocs/lab/context.md,inventory.md,setup-plan.md, anddecisions.md. - State the loop before the equipment: the decision, the measurement, the shortest operation sequence, and the cycle count needed for convergence. Flag when cycle time and required cycles make the loop impractical, because no downstream choice fixes that.
- Define the minimum viable loop. Prefer one closed loop with simulated or manual steps over a broader set of automated but open steps.
- Separate plant, interface, capability, and campaign decisions. Keep a physical constraint out of workflow logic.
- For each component under discussion, name the functions it serves before naming a mechanism. When requirements conflict inside one part, propose an architectural split rather than a more complex part.
- Identify the binding constraint by estimating margin per requirement. Record it. Warn explicitly when a candidate design is borrowed from a field whose binding constraint differs.
- Check every borrowed pattern against the material-system table in the guide. Report any row that applies, and treat a recognized hazard class as a prompt for qualified review rather than a resolved question.
- Classify each decision as reversible or irreversible. Recommend deliberate design time and outside review for the irreversible ones, and recommend over-provisioning payload, envelope, utilities, bandwidth, and slot count.
- Where the laboratory must grow, propose a versioned interface specification and record it in the laboratory repository beside the manifest.
- For unattended operation, identify each state the machine must observe rather than infer, and name the failure modes that warrant verification by two different physical principles.
- Keep safety functions in an independent rated system that OpenSDL cannot outvote. Do not design an interlock that depends on the orchestration layer.
- Write results into
docs/lab/decisions.mdandsetup-plan.md: the choice, the rejected alternatives, the driving constraint, and the condition that would justify revisiting it. - Hand the next task to
start-here,create-lab,add-capability,add-adapter, ordevelop-workflow.
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.
- 2mo ago First seen · 80 lines · 75 tokens per session scan A 17cffadc1517
design-lab is a skill published in the GitHub repository fl-sean03/OpenSDL (108 stars, last pushed 5d ago), licensed Apache-2.0. It adds 75 tokens to every session and 981 once invoked, about $0.0003 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 2026-08-30.
design-lab compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| design-labfl-sean03/OpenSDL | Skill | 108 | 5d ago | Apache-2.0 | A | 75 | Claude Code, Codex |
| building-routerBbeierle12/Skill-MCP-Claude | Skill | 9 | yesterday | MIT | A | 69 | Claude Code, Codex |
| scientific-ppt-drawingSPYfighting/my-academic-skills | Skill | 23 | 1mo ago | MIT | A | 52 | Codex |
| scitexscitex-ai/scitex-python | Skill | 86 | yesterday | AGPL-3.0 | A | 123 | Claude Code |
| stx.cliscitex-ai/scitex-python | Skill | 86 | yesterday | AGPL-3.0 | A | 33 | Claude Code, Codex |
| figure-designjeonnoin-alt/Eureka | Skill | 2 | 6mo ago | MIT | A | 75 | Claude Code |
| xarray-netcdfxjtulyc/awesome-rosetta-skills | Skill | 35 | 6mo ago | none | A | 40 | Claude Code, Codex |