ase-supplementary
Use when deciding what belongs in the 10-page ASE (IEEE/ACM Automated Software Engineering) paper body versus the artifact and supplementary material, splitting content by decision-criticality so nothing that decides acceptance lives outside the reviewed pages under the 10+2 budget.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-supplementaryInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of ase-supplementary
ase-supplementary scores 85/100 on our quality scale, 1914th of 2,889 Automation skills we index.
Its SKILL.md is 3.9 KB long, split into 7 sections with 2 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.
Maintenance, license and trust
- The repository was last updated 21 days ago, so ase-supplementary 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 foundOur 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-supplementary compared with similar skills
All 4 of these similar skills score higher than ase-supplementary; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ase-supplementary (this skill)by brycewang-stanford | 85 | 1.2k | 21d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 92.1k | 20d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.9k | today | MCP Server |
| rufloby ruvnet | 100 | 74.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 13d ago | SKILL.md |
Frequently asked questions
- How do I install ase-supplementary?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-supplementary. The install tabs above show the steps for each supported agent. - Which AI agents does ase-supplementary 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-supplementary 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-supplementary still maintained?
- The repository was last updated 21 days ago, so ase-supplementary is actively maintained.
Skill content
View source on GitHubname: ase-supplementary description: Use when deciding what belongs in the 10-page ASE (IEEE/ACM Automated Software Engineering) paper body versus the artifact and supplementary material, splitting content by decision-criticality so nothing that decides acceptance lives outside the reviewed pages under the 10+2 budget.
ASE Supplementary
Split content by decision-criticality. ASE gives you 10 pages of body (plus 2 for references), and reviewers judge the paper on those pages. The artifact and any supplementary material support reproduction and reuse — they do not carry the argument. The failure mode is exiling a decision-critical result to the artifact and assuming reviewers will dig for it; they judge what is in the body.
The decision-criticality rule
- In the body (must be within 10 pages): anything a reviewer needs to accept the paper — the automated task, the technique, the headline results on real subjects, the closest baseline comparison, the key ablation, and the central threats argument.
- In the artifact / supplement: everything needed to reproduce or reuse — full configurations, complete result tables, extra subjects, proofs, additional plots, raw logs, and cached model outputs.
If a result decides acceptance, it lives in the body even if space is tight; cut elsewhere.
What each container is for
| Content | Where | Why | |---|---|---| | Task, technique, headline evaluation, closest-baseline comparison, key ablation | Body (≤10 pp) | Decision-critical; reviewers score these | | Central threats-to-validity argument | Body | Construct/oracle validity is judged, not reproduced | | Data Availability Statement | Body, after Conclusions, inside 10 pp | Mandatory and reviewed | | Full config files, seeds, environment | Artifact | Reproduction detail, not an argument | | Complete/extra result tables, extra subjects | Artifact / supplement | Support, not headline | | Proofs, derivations too long for the body | Artifact / supplement (if the venue permits) | Verification detail | | Raw logs, cached LLM outputs, dataset snapshots | Artifact | Provenance and reuse |
The reviewer-behavior reality
- Reviewers may open the artifact to check a claim, but they will not reconstruct a headline result from raw logs. State every acceptance-deciding number in the body with a pointer to where the artifact backs it.
- A pointer to the artifact is a promise the body's claim is verifiable — not a substitute for stating the claim.
- Keep the body self-contained: a reader who never opens the artifact should still be able to judge the contribution.
Anonymity across containers
- The supplement and artifact are part of the double-anonymous submission: scrub tool names that encode your identity, repository owners, and file paths.
- A result table in the artifact that reveals your institution's cluster paths is as much a leak as a name on the PDF.
Space-recovery moves (before cutting content)
[Figures] merge redundant plots; one figure that carries the argument beats three that decorate.
[Tables] move exhaustive per-subject tables to the artifact; keep the summary with effect sizes.
[Prose] delete literature-tour sentences; related work is a delta argument, not a survey.
[Config] move full configurations to the artifact; keep the one setting that matters in the body.
[Roadmap] cut over-signposting; the arc should be visible without a paragraph announcing it.
Output format
[Decision-critical in body?] task / technique / headline results / baseline / key ablation / threats — all present within 10pp?
[Data Availability] in body, after Conclusions, inside 10pp?
[Artifact-only] configs / extra tables / proofs / logs / cached outputs -> not decision-critical?
[Self-contained] judgeable without opening the artifact? yes/no
[Anonymity] supplement + artifact scrubbed of identity? yes/no
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
