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/using-model-endpointnpx skills add HughYau/AcademicForge --skill using-model-endpointgit clone --depth 1 https://github.com/HughYau/AcademicForgeWrote 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/hughyau/academicforge/using-model-endpoint)<a href="https://agentmods.dev/skills/hughyau/academicforge/using-model-endpoint"><img src="https://agentmods.dev/badge/skills/hughyau/academicforge/using-model-endpoint.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00421 |
| Opus 5 | $0.00020 | $0.00211 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
using-model-endpoint 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 4d 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
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
4 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.
- 4d ago First seen · 31 lines · 40 tokens per session scan A 2ee613c4530f
using-model-endpoint is a skill published in the GitHub repository HughYau/AcademicForge (2,510 stars, last pushed 4d ago), with no licence file. It adds 40 tokens to every session and 421 once invoked, about $0.0002 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
fable4sci
Transform dense technical, scientific, cybersecurity, computing, network, or life-science research questions into clear source-domain-neutral fables for non-specialists. Use when the user asks to allegorize, fable-ize, turn complex research into a metaphorical story, explain without jargon, produce both plain and more…
paper-writing
Use when and ONLY when the user explicitly requests paper writing and G4 (write-ready) gate has passed — handles LaTeX structure, senior-level writing, reference verification, and iterative refinement.
experiment-execution
Use when G2 (plan freeze) and G3 (execution readiness) gates have passed — handles all implementation, baseline reproduction, experimentation, and iteration for both Type M and Type D projects; this is Phase 4.
method-framework-design
Use when research direction is validated (G1 passed) and the project needs method design, analysis framework, evaluation protocol, or story line — this is Phase 3 and must complete before any code or experiments.
research-direction-exploration
Use when a user expresses research intent but has not yet identified a specific research direction, completed a literature review, or confirmed resource readiness — covers Phase 1 from topic discovery through G1 gate.
results-integration
Use when core experiments or analyses are complete and results need to be organized into a coherent report for user review before paper writing.