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/hughyau/academicforge/remote-compute-modalnpx skills add HughYau/AcademicForge --skill remote-compute-modalgit clone --depth 1 https://github.com/HughYau/AcademicForgeWhat 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 | $0.00065 | $0.10803 |
| Opus 5 | $0.00032 | $0.05402 |
| Sonnet 5 | $0.00013 | $0.02161 |
| Haiku 4.5 | $0.00006 | $0.01080 |
Grade A, and why
remote-compute-modal scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
job ("let me curl a few sites to test the network") only reproduces the The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
14 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.
- .catalog_stamp 13 B
- env-setup.md 14 KB
- envs/chemistry_gpu.py 1.1 KB runs code
- envs/esmfold2_gpu.py 7.0 KB runs code
- envs/genomics_evo2_gpu.py 2.9 KB runs code
- envs/proteomics_boltz_gpu.py 2.2 KB runs code
- envs/proteomics_gpu.py 3.1 KB runs code
- envs/proteomics_jax_gpu.py 2.7 KB runs code
- envs/proteomics_openfold_gpu.py 5.1 KB runs code
- envs/proteomics_rfd_diffdock_gpu.py 5.0 KB runs code
- envs/singlecell_gpu.py 4.5 KB runs code
- provider.json 409 B
- provider.py 39 KB runs code
- requirements.lock 70 KB
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.
- yesterday First seen · 790 lines · 65 tokens per session scan A 52e7603e2f30
remote-compute-modal is a skill published in the GitHub repository HughYau/AcademicForge (2,496 stars, last pushed yesterday), with no licence file. It adds 65 tokens to every session and 10,803 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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