thesis-compile-review

thesis-compile-review is a skill for Codex from WILLOSCAR/research-units-pipeline-skills. It costs 42 tokens per session (420 once invoked), scanned A, original, no licence file.

A review tool for compiling a Chinese graduation thesis, classifying warnings, checking template patterns, and rechecking data and citations.

In plain words
What is it for?
It is for reviewing a thesis build, formatting checks, data, and references before submission.
Why use it?
It collects technical and academic problems in one review checklist so they can be fixed and revisited systematically.

Skill for Codex

Written for Codex: installed under .codex/.

Good fit It is for reviewing a thesis build, formatting checks, data, and references before submission.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/willoscar/research-units-pipeline-skills/thesis-compile-review
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 WILLOSCAR/research-units-pipeline-skills --skill thesis-compile-review
Clone the repo
git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-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 thesis-compile-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/thesis-compile-review/github.svg)](https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/thesis-compile-review)
Your own site
<a href="https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/thesis-compile-review"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/thesis-compile-review/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 thesis-compile-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/thesis-compile-review"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/thesis-compile-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 420 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.
Origin unknown 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 $0.00042 $0.00420
Opus 5 $0.00021 $0.00210
Sonnet 5 $0.00008 $0.00084
Haiku 4.5 $0.00004 $0.00042

Measured 9d ago against content hash 414684ddc101, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

thesis-compile-review 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 9d 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.

.codex/skills/thesis-compile-review/SKILL.md · 59 lines

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.

Read it on GitHub

Files

What ships with it

3 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.

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. 9d ago First seen · 59 lines · 42 tokens per session scan A 414684ddc101

Subscribe to this mod's changes

thesis-compile-review is a skill published in the GitHub repository WILLOSCAR/research-units-pipeline-skills (506 stars, last pushed yesterday), with no licence file. It adds 42 tokens to every session and 420 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 2026-09-03.

Related

Other skills, from other repositories

connect-agent

Connect the codebase's AI agent to LangWatch agent simulations, so test suites run against the real agent process. Adds a small connect function beside the service startup that calls the agent already in the codebase, which opens an outbound connection and registers the agent with its environment and its run…

langwatch/langwatch · 102 tokens

agent-improve

Turns production evidence into tested improvements for your AI agent. Forms hypotheses from real traces and analytics, explains the reasoning behind each one, then executes with the user: scenario tests that reproduce production failures, prompt and code changes as reviewable PRs, new evaluators and monitors that…

langwatch/langwatch · 0 tokens

test-compliance

Test that your AI agent stays observational and doesn't give prescriptive advice in regulated domains (healthcare, finance, legal). Creates scenario tests for boundary enforcement and red team tests for adversarial probing. Use when your agent advises but must not prescribe.

langwatch/langwatch · 53 tokens

evaluate-multimodal

Evaluate multimodal AI agents that process images, audio, PDFs, or other files. Sets up evaluations using LangWatch's LLM-as-judge with image inputs, Scenario's multimodal testing, and document parsing evaluation patterns. Use when your agent handles non-text inputs.

langwatch/langwatch · 60 tokens

generate-rag-dataset

Generate a synthetic evaluation dataset from your RAG knowledge base. Creates diverse Q&A pairs with expected answers and relevant context, ready for LangWatch experiments and platform import. Use when you need test data for your RAG pipeline.

langwatch/langwatch · 51 tokens

self-improve-with-tinyfish

Enables Hermes to create new reusable skills for itself by researching live web sources with TinyFish Search and Fetch, analyzing source coverage, writing SKILL.md files, and installing them into Hermes memory. Use when the user asks Hermes to learn, teach itself, upgrade itself, or save a reusable capability.

tinyfish-io/tinyfish-cookbook · 68 tokens