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-pre-submission-reviewergit 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-pre-submission-reviewer)<a href="https://agentmods.dev/skills/immortalqx/my_codex_skills/phd-pre-submission-reviewer"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-pre-submission-reviewer/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-pre-submission-reviewer"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-pre-submission-reviewer.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 | $0.00106 | $0.01756 |
| Opus 5 | $0.00053 | $0.00878 |
| Sonnet 5 | $0.00021 | $0.00351 |
| Haiku 4.5 | $0.00011 | $0.00176 |
Grade A, and why
phd-pre-submission-reviewer 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 12d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pre-Submission Reviewer
Overview
Three to five days before a submission deadline is the window where a careful external review pays off most. This skill takes a full paper or key sections and produces a structured review across five dimensions, each with severity-tagged findings and concrete rewrite suggestions. It enforces the mechanical rules from the writing-checklist section (no em-dashes, no banned AI-tone vocabulary, leading text per paragraph, topic-sentence discipline, citation-format uniformity) and surfaces the patterns that non-native English-speaking authors most commonly violate (articles, subject-verb agreement, tense consistency, which versus that, Chinglish phrasing).
The output is not a rewrite. It is a prioritised list of findings with severity tags; the author decides which to fix. CRITICAL items should block submission until addressed.
When to use this skill
- Three to five days before a submission deadline.
- The user asks to 'review this paper', 'audit before submission', 'check the draft', 'find issues', 'proofread'.
- After a camera-ready revision, before sending the final version.
- After any major rewrite (rebuttal responses, Section 3 overhaul).
- When the user suspects AI-tone contamination in a section.
When NOT to use this skill
- The paper is still being structured. Use
phd-tech-paper-template,phd-intro-drafter, orphd-benchmark-paper-templatefirst. - The user wants structural advice rather than review. Use the drafting skills instead.
Core procedure
Step 1: Dimension 1 Macro logic review
See: references/logic-and-structure.md for the Logic First rule, Self-contained rule, Leading Text rule, and Running Example rule.
Check:
- Introduction flowchart is intact (Background, Limitations, Goal or Key Idea, Challenges, Methodology, Contributions).
- Contributions map one-to-one with methodology modules and with section numbers.
- Experiments validate the paper's main claims, not tangential ones.
- Related Work covers the necessary prior art.
- Running example is consistent across Introduction, Methodology, Experiments.
What ships with it
6 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.
- 12d ago First seen · 172 lines · 106 tokens per session scan A bf011db66829
phd-pre-submission-reviewer is a skill published in the GitHub repository Immortalqx/my_codex_skills (52 stars, last pushed 1mo ago), licensed MIT. It adds 106 tokens to every session and 1,756 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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