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ase-related-work

Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-related-work

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Category

Automation

Supported Platforms

Universal

Our assessment of ase-related-work

ase-related-work scores 87/100 on our quality scale, 1675th of 2,889 Automation skills we index.

Its SKILL.md is 4.4 KB long, well organised into 8 sections with 3 code examples: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 21 days ago, so ase-related-work is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-06. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

ase-related-work compared with similar skills

All 4 of these similar skills score higher than ase-related-work; compare them before choosing.

SkillScoreStarsUpdatedFormat
ase-related-work (this skill)by brycewang-stanford871.2k21d agoSKILL.md
Agent-Reachby Panniantong10092.1k20d agoCLAUDE.md
Scraplingby D4Vinci10085.9ktodayMCP Server
rufloby ruvnet10074.0ktodayMCP Server
algorithmic-artby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install ase-related-work?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-related-work. The install tabs above show the steps for each supported agent.
Which AI agents does ase-related-work work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is ase-related-work safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is ase-related-work still maintained?
The repository was last updated 21 days ago, so ase-related-work is actively maintained.

name: ase-related-work description: Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.

ASE Related Work

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.

Distinguish ASE from sibling-venue prior work

Because automated-SE ideas appear across venues, position precisely: a testing-theory result may live at ISSTA, a broad empirical study at FSE, a language mechanism at a PL venue. When you cite across venues, make the ASE delta — the automation you add — explicit, so a reviewer does not read your contribution as a reheated sibling-venue result.

Double-anonymous self-citation

  • Cite your own prior tools and papers in the third person ("Prior work by [Anonymous] proposed ...", or neutrally "The X tool [12] ...") so the citation does not deanonymize you.
  • Do not write "our earlier tool" or link to a repository whose owner is you.
  • Keep the count of self-citations honest; a cluster of third-person citations to one hidden group is itself a leak.

Coverage checks

[Recency]   at least the last 2-3 years of ASE/ICSE/FSE/ISSTA automation in your subarea cited?
[Closest baseline] is the single most similar runnable tool named AND compared, not just cited?
[Cross-venue] PL/ML/testing neighbors positioned so your automation delta is explicit?
[Anonymity] every self-citation in the third person; no repository ownership revealed?
[Honesty]   any obvious competitor conspicuously missing? (a reviewer will notice)

Output format

[Lanes] which automated-SE lanes the paper touches
[Delta table] prior tool -> what it does -> gap -> your delta -> where the head-to-head lives
[Baseline fairness] closest runnable baseline named, version pinned, equal budget?
[Anonymity check] self-citations third-person, no repo owner revealed

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryAutomation
Updated21d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions