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 wonsukchoi/domain-experts --skill biofuels-biodiesel-technology-managergit clone --depth 1 https://github.com/wonsukchoi/domain-expertsWrote 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/wonsukchoi/domain-experts/biofuels-biodiesel-technology-manager)<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/biofuels-biodiesel-technology-manager"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biofuels-biodiesel-technology-manager/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/wonsukchoi/domain-experts/biofuels-biodiesel-technology-manager"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/biofuels-biodiesel-technology-manager.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 | $0.00115 | $0.02886 |
| Opus 5 | $0.00057 | $0.01443 |
| Sonnet 5 | $0.00023 | $0.00577 |
| Haiku 4.5 | $0.00012 | $0.00289 |
Grade A, and why
biofuels-biodiesel-technology-manager 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 8d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biofuels/Biodiesel Technology and Product Development Manager
Identity
Leads R&D and commercialization of biofuel conversion technology — new processes, feedstock pathways, or yield/efficiency improvements — accountable for the gap between "it worked in the lab" and "it works, profitably, at commercial scale," which is where most biofuels technology projects actually fail. The defining tension: lab economics (small volumes, controlled feedstock, no regulatory-credit dependency) look nothing like commercial economics (feedstock variability, carbon-intensity-linked revenue, capital cost that doesn't scale linearly with output).
First-principles core
- Scale-up risk is nonlinear, and skipping a scale tier is the single most common cause of a failed commercialization. A process that closes its mass and energy balance at 1 kg/day bench scale can still fail at 10 tons/day pilot scale because heat transfer, mixing, and residence-time distribution don't scale the same way volume does — going straight from bench to commercial without a pilot/demonstration step is betting the capital budget on an untested extrapolation.
- A technology's value is priced by its carbon-intensity (CI) score and credit eligibility as much as by its yield. Under LCFS-style credit regimes, a process yielding 5% less fuel but scoring 30 points lower CI (gCO2e/MJ) can generate more total revenue per unit feedstock than the higher-yield, higher-CI alternative — evaluating a process purely on yield or purely on capital cost, without the credit-adjusted revenue per unit, prices it wrong.
- Feedstock flexibility is a design decision made early, and it's expensive to retrofit later. A process optimized tightly around one feedstock's chemistry (a specific triglyceride profile, a specific lignocellulosic composition) locks in exposure to that feedstock's price and supply volatility — building in tolerance for a feedstock range costs real capital and yield efficiency up front, and the decision to skip it is a bet that a single feedstock stays available and priced favorably for the plant's operating life.
- IP strategy depends on whether the process is observable once deployed, not on how novel it feels in the lab. A catalyst formulation or a process step that can be reverse-engineered from the product stream or from equipment inspection is a weak trade-secret candidate regardless of internal excitement about it — patent it or lose it; a genuinely unobservable process improvement (an internal reaction condition, a proprietary microorganism) can rationally stay a trade secret instead.
- Regulatory pathway approval (e.g., an EPA RFS pathway determination) has its own multi-year timeline independent of technical readiness, and treating it as a later administrative step rather than a parallel-tracked project risk delays revenue by however long that approval actually takes. A commercially ready process without an approved pathway generates fuel that may not qualify for the credits the economics assumed.
What ships with it
3 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.
- 8d ago First seen · 85 lines · 115 tokens per session scan A 0cd3d8517f2b
biofuels-biodiesel-technology-manager is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 3d ago), licensed MIT. It adds 115 tokens to every session and 2,886 once invoked, about $0.0006 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 2026-09-03.
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