ase-related-work

ase-related-work is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 57 tokens per session (984 once invoked), scanned A, original, MIT.

A guide to writing the related-work section of an ASE paper. It compares the proposed automation with earlier tools and techniques, focusing on the specific difference rather than only the broad topic.

In plain words
What is it for?
Use it to organize work on program analysis, testing, debugging, repair, synthesis, code comprehension, and AI-based software engineering, then state the paper's concrete difference.
Why use it?
It prevents a literature summary from hiding the paper's contribution or making unfair comparisons. Clear positioning shows what existing automated approaches do and do not provide.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ase-skills plugin — 12 skills shipped together

Good fit Use it to organize work on program analysis, testing, debugging, repair, synthesis, code comprehension, and AI-based software engineering, then state the paper's concrete difference.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/ase-related-work
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,289 stars · on GitHub · copaper.ai

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 brycewang-stanford/Awesome-Journal-Skills --skill ase-related-work
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install ase-skills, the plugin that ships this one along with the rest of its 12 skills.

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 ase-related-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-related-work/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-related-work)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-related-work"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-related-work/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 ase-related-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-related-work"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-related-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 984 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 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 $0.00057 $0.00984
Opus 5.5 $0.00023 $0.00394
Sonnet 5.5 $0.00011 $0.00197
Haiku 4.5 $0.00006 $0.00098

Measured 1mo ago against content hash 6c0162cb8879, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ase-related-work 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 1mo 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.

ASE-Skills/skills/ase-related-work/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Position the paper against prior automation, not against a topic. At ASE the question a reviewer holds is "what does this tool/technique do that the existing automated approaches do not?" — so related work is a delta argument, and the strongest deltas are stated against named, runnable prior tools you can (and often must) compare against empirically.

Cover the ASE literature lanes

An automated-SE paper usually sits at the intersection of several lanes; name your position in each that applies:

  • Program analysis — static/dynamic analysis, symbolic/concolic execution, abstract interpretation, invariant inference.
  • Test generation and testing — search-based, specification-based, fuzzing, regression and flaky-test handling.
  • Fault localization, debugging, and repair — spectrum-based localization, automated program repair, patch synthesis.
  • Synthesis and recommendation — program/code synthesis, API recommendation, refactoring automation.
  • Comprehension and documentation — summarization, code search, clone and change analysis.
  • Learning-based / AI4SE — learned code representations, models applied to SE tasks, LLM-based automation — and SE4AI, applying SE automation to ML systems.

Delta-first positioning

Write each related-work cluster as: prior automation X does A; it cannot do B because C; we do B. Then, where B is comparable, compare against X empirically — ASE reviewers expect a head-to-head against the closest runnable baseline, not just a prose distinction.

[Cluster] spectrum-based fault localization
  Prior: ranks statements by suspiciousness from pass/fail spectra.
  Gap: assumes a fixed test suite; degrades when tests are flaky.
  Delta: our technique estimates and corrects for flakiness before ranking.
  Evidence of delta: head-to-head on the same faulty subjects, §5.2, Table 3.

Fair head-to-head framing (the ASE credibility test)

  • Compare against the strongest, most recent automated baseline you can run, at an equal, documented budget (time, iterations, tuning). An under-configured baseline is the classic soundness objection and a Revision criterion waiting to happen.
  • If a baseline tool cannot run on your subjects, say why explicitly and choose the nearest viable alternative — do not quietly omit the obvious competitor.
  • Distinguish reimplementation from the original tool, and note version/commit — reviewers who built the baseline will check.

Read the full file on GitHub · 87 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. 1mo ago First seen · 87 lines · 57 tokens per session scan A 6c0162cb8879

Subscribe to this mod's changes

ase-related-work is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It adds 57 tokens to every session and 984 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.

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