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 TaoELi/FermiLink --skill mxl-project-scaffoldgit clone --depth 1 https://github.com/TaoELi/FermiLinkWrote 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/taoeli/fermilink/mxl-project-scaffold)<a href="https://agentmods.dev/skills/taoeli/fermilink/mxl-project-scaffold"><img src="https://agentmods.dev/badge/skills/taoeli/fermilink/mxl-project-scaffold/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/taoeli/fermilink/mxl-project-scaffold"><img src="https://agentmods.dev/badge/skills/taoeli/fermilink/mxl-project-scaffold.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 | $0.00045 | $0.00488 |
| Opus 5.5 | $0.00018 | $0.00195 |
| Sonnet 5.5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
mxl-project-scaffold 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
48 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.
- assets/templates/laser-tls-embedded/config.json 459 B
- assets/templates/laser-tls-embedded/em.py 3.5 KB runs code
- assets/templates/laser-tls-embedded/README.md 366 B
- assets/templates/laser-tls-embedded/run_local.sh 125 B runs code
- assets/templates/meep-tls-embedded/config.json 495 B
- assets/templates/meep-tls-embedded/em.py 3.2 KB runs code
- assets/templates/meep-tls-embedded/README.md 432 B
- assets/templates/meep-tls-embedded/run_local.sh 124 B runs code
- assets/templates/meep-tls-socket-unix/config.json 590 B
- assets/templates/meep-tls-socket-unix/driver.py 1013 B runs code
- assets/templates/meep-tls-socket-unix/em.py 3.0 KB runs code
- assets/templates/meep-tls-socket-unix/README.md 603 B
- assets/templates/meep-tls-socket-unix/run_driver.sh 129 B runs code
- assets/templates/meep-tls-socket-unix/run_em.sh 125 B runs code
- assets/templates/singlemode-tls-socket-tcp/config.json 572 B
- assets/templates/singlemode-tls-socket-tcp/driver.py 1.1 KB runs code
- assets/templates/singlemode-tls-socket-tcp/em.py 2.5 KB runs code
- assets/templates/singlemode-tls-socket-tcp/README.md 553 B
- assets/templates/slurm-meep-lammps-tcp/clean.sh 130 B runs code
- assets/templates/slurm-meep-lammps-tcp/config.json 725 B
- assets/templates/slurm-meep-lammps-tcp/data.lmp 50 KB
- assets/templates/slurm-meep-lammps-tcp/em_main.py 4.4 KB runs code
- assets/templates/slurm-meep-lammps-tcp/in_mxl.lmp 743 B
- assets/templates/slurm-meep-lammps-tcp/lammps_driver.py 2.2 KB runs code
- assets/templates/slurm-meep-lammps-tcp/README.md 1.2 KB
- assets/templates/slurm-meep-lammps-tcp/submit_all.sh 209 B runs code
- assets/templates/slurm-meep-lammps-tcp/submit_lammps.sh 221 B runs code
- assets/templates/slurm-meep-lammps-tcp/submit_main.sh 244 B runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/clean.sh 145 B runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/config.json 1.0 KB
- assets/templates/slurm-meep-plasmon-rteh-tcp/driver.py 3.7 KB runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/em_main.py 7.8 KB runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/HCN_benchmark/frequency_calc.py 752 B runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/HCN_benchmark/hcn.xyz 223 B
- assets/templates/slurm-meep-plasmon-rteh-tcp/README.md 1.7 KB
- assets/templates/slurm-meep-plasmon-rteh-tcp/submit_all.sh 1.1 KB runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/submit_driver.sh 283 B runs code
- assets/templates/slurm-meep-plasmon-rteh-tcp/submit_main.sh 310 B runs code
- assets/templates/slurm-meep-tls-tcp/clean.sh 157 B runs code
- assets/templates/slurm-meep-tls-tcp/config.json 568 B
- assets/templates/slurm-meep-tls-tcp/driver.py 1.6 KB runs code
- assets/templates/slurm-meep-tls-tcp/em_main.py 1.9 KB runs code
- assets/templates/slurm-meep-tls-tcp/README.md 964 B
- assets/templates/slurm-meep-tls-tcp/submit_all.sh 209 B runs code
- assets/templates/slurm-meep-tls-tcp/submit_driver.sh 137 B runs code
- assets/templates/slurm-meep-tls-tcp/submit_main.sh 203 B runs code
- scripts/mxl_scaffold_project.py 3.6 KB runs code
- scripts/mxl_validate_project.py 19 KB runs code
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 · 32 lines · 45 tokens per session scan A db9d88e0eef0
mxl-project-scaffold is a skill published in the GitHub repository TaoELi/FermiLink (11 stars, last pushed 2mo ago), licensed AGPL-3.0. It adds 45 tokens to every session and 488 once invoked, about $0.0002 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 2026-08-31.
mxl-project-scaffold compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mxl-project-scaffoldTaoELi/FermiLink | Skill | 11 | 2mo ago | AGPL-3.0 | A | 45 | Claude Code, Codex |
| logistics-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 47 | Claude Code |
| performance-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 48 | Claude Code |
| finops-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 55 | Claude Code |
| julia-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 64 | Claude Code |
| performance-analysisruvnet/agentic-flow | Skill | 838 | yesterday | none | A | 20 | Claude Code |
| developmentfengshao1227/ccg-workflow | Skill | 6.0k | 5d ago | MIT | A | 41 | Claude Code |