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 Immortalqx/my_codex_skills --skill phd-benchmark-paper-templategit clone --depth 1 https://github.com/Immortalqx/my_codex_skillsWrote 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/immortalqx/my_codex_skills/phd-benchmark-paper-template)<a href="https://agentmods.dev/skills/immortalqx/my_codex_skills/phd-benchmark-paper-template"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-benchmark-paper-template/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/immortalqx/my_codex_skills/phd-benchmark-paper-template"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-benchmark-paper-template.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 | $0.00099 | $0.02364 |
| Opus 5 | $0.00049 | $0.01182 |
| Sonnet 5 | $0.00020 | $0.00473 |
| Haiku 4.5 | $0.00010 | $0.00236 |
Grade A, and why
phd-benchmark-paper-template 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 11d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark Paper Template
Overview
A Benchmark paper does not win by proposing a new algorithm. It wins by defining a new evaluation dimension and shipping a construction pipeline that makes the measurement high-quality, scalable, and reproducible. This skill scaffolds the five pillars a reviewer checks, then gives you a six-part Introduction chain, a Section 2-7 skeleton, and a pre-submission checklist. Stage-specific depth lives in seven reference files under references/.
Core capabilities
- Five-pillar completeness audit: is the Research Gap articulated? Is the Construction Pipeline principled? Is the Evaluation Framework fine-grained? Do the Empirical Findings reveal capability boundaries? Is a Companion Method warranted?
- Introduction six-part logic chain: Background + Running Example, Existing-Benchmark Limitations (no more than three), Research Questions, Design Considerations, Our Proposal, Contributions.
- Section skeleton for §2 to §7: Task and Design Goals, Construction Pipeline, Optional Companion Method, Experiments organized by RQ, Discussion and Research Opportunities, Related Work with benchmark comparison table, Conclusion.
- Pre-submission self-check: four-category reviewer checklist (Introduction, Benchmark section, Experiments, Overall) with Critical, Major, Minor severity.
Benchmark paper vs technical paper
| Dimension | Technical paper | Benchmark paper |
|---|---|---|
| Main contribution | Novel algorithm or method | Novel evaluation dimension or dataset |
| Introduction axis | Key Idea or Mechanism | Evaluation Gap and Benchmark Design Rationale |
| Problem definition | One-sentence goal | The problem definition IS the contribution |
| Heaviest chapter | Method | Construction Pipeline + Evaluation Framework |
| Experiments purpose | Prove "my method beats baselines" | Reveal "where model capability boundaries sit" |
| Canonical Figure 1 | Method framework diagram | Running example + pipeline diagram |
For technical and position papers, use the phd-tech-paper-template skill. For the Introduction outline in isolation, use phd-intro-drafter.
What ships with it
9 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.
- agents/openai.yaml 257 B
- references/benchmark-design.md 7.4 KB
- references/checklist.md 6.1 KB
- references/construction-pipeline.md 6.2 KB
- references/experiments.md 8.0 KB
- references/gap-analysis.md 5.1 KB
- references/instantiation-template.md 4.3 KB
- references/orchestrator-notes.md 5.1 KB
- references/paper-structure.md 7.8 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.
- 11d ago First seen · 142 lines · 99 tokens per session scan A 44d26d5318a1
phd-benchmark-paper-template is a skill published in the GitHub repository Immortalqx/my_codex_skills (52 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 2,364 once invoked, about $0.0005 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.
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