academic-paper-strategist

academic-paper-strategist is a skill for Codex from AAASS554/codex-academic-paper-skills. It costs 140 tokens per session (2,401 once invoked), scanned A, original, MIT.

A planning skill for turning an existing software project into a computer-science or software-engineering undergraduate thesis supported by evidence from the codebase.

In plain words
What is it for?
Use it to outline a thesis, connect chapters to code, review whether claims match the project, and define defensible figures, tables, tests, and rewrite work.
Why use it?
It reduces unsupported claims by checking the draft against the real project and the school's required format before writing is finalized.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to outline a thesis, connect chapters to code, review whether claims match the project, and define defensible figures, tables, tests, and rewrite work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaass554/codex-academic-paper-skills/academic-paper-strategist
Install

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.

Any agent
npx skills add AAASS554/codex-academic-paper-skills --skill academic-paper-strategist
Clone the repo
git clone --depth 1 https://github.com/AAASS554/codex-academic-paper-skills

Made for: Codex.

Wrote 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.

agentmods badge for academic-paper-strategist

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist/github.svg)](https://agentmods.dev/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist)
Your own site
<a href="https://agentmods.dev/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist"><img src="https://agentmods.dev/badge/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist/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.

agentmods 80×15 button for academic-paper-strategist

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist"><img src="https://agentmods.dev/badge/skills/aaass554/codex-academic-paper-skills/academic-paper-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,401 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00140 $0.02401
Opus 5 $0.00070 $0.01201
Sonnet 5 $0.00028 $0.00480
Haiku 4.5 $0.00014 $0.00240

Measured 13d ago against content hash ad2002a86405, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

academic-paper-strategist 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 13d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/evaluate_samples.py, scripts/gap_analysis.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/academic-paper-strategist/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Paper Strategist

Overview

This is the planning skill for Codex-based software engineering theses. Use it before drafting or finalizing a thesis from a real repository. Its job is to reduce hallucination risk, map project evidence to chapters, and define only the claims, figures, tables, and tests that can be justified by the actual codebase and supplied school format sample.

Companion flow:

  1. academic-paper-strategist - planning, evidence mapping, rewrite scope
  2. academic-paper-composer - content rewrite and final manuscript assembly
  3. drawio - redraw engineering-style thesis figures when required
  4. playwright - capture real runtime screenshots when the thesis needs running-system evidence
  5. doc - produce and visually check the final DOCX

Do not skip the strategist step when the user asks for a submission-ready undergraduate thesis from an existing project and draft.

Core Rules

  • Read project evidence before outlining. Prefer repository files, SQL, config, docs, controllers, services, entities, and the existing draft.
  • Treat the existing draft as untrusted input. Keep only what can be supported by project evidence.
  • If the user has already hand-edited part of a draft, treat that working draft as a protected artifact and plan around it instead of blindly replacing the whole manuscript.
  • If the user provides plagiarism, similarity, or AIGC detection reports, treat them as rewrite-priority signals, not as sources of truth about the project. Load references/detection-report-rewrite-playbook.md when this applies.
  • If the user provides a school format sample, load references/zjkj-undergrad-thesis-format.md first and treat it as the highest authority for structure and formatting.
  • If the task is to produce a final thesis from an existing draft, also load:
    • references/project-grounding-rules.md
    • references/finalization-task-rules.md
  • Load references/draft-salvage-handoff-playbook.md when the user wants to continue a partially edited draft, keep original figures/tables, or add running-system screenshots.
  • Never invent features, APIs, data tables, performance numbers, deployment scale, user scale, concurrency benchmarks, or test results.
  • Reframe "innovation" conservatively as engineering highlights, implementation choices, integration value, or maintainability benefits.
  • Only plan figures that are supported by code or project docs. Omit unsupported diagrams.
  • Keep the thesis compatible with an automatic table of contents and school-required front matter.

Read the full file on GitHub · 229 lines

Changes

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.

  1. 13d ago First seen · 229 lines · 140 tokens per session scan A ad2002a86405

Subscribe to this mod's changes

academic-paper-strategist is a skill published in the GitHub repository AAASS554/codex-academic-paper-skills (532 stars, last pushed 2mo ago), licensed MIT. It adds 140 tokens to every session and 2,401 once invoked, about $0.0007 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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