ccs-author-response
Use when drafting an ACM CCS rebuttal during the HotCRP author-response window, covering threat-model defenses, adaptive-attack objections, ethics and disclosure questions, anonymity constraints, adversarial reviewer pushback patterns, and decision-focused replies aimed at the meta-reviewer.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-author-responseInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of ccs-author-response
ccs-author-response scores 83/100 on our quality scale, 2895th of 4,610 Development & Engineering skills we index.
Its SKILL.md is 3.7 KB long, split into 7 sections with 1 code example: 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 18 days ago, so ccs-author-response 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.
ccs-author-response compared with similar skills
All 4 of these similar skills score higher than ccs-author-response; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ccs-author-response (this skill)by brycewang-stanford | 83 | 1.2k | 18d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.8k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
Frequently asked questions
- How do I install ccs-author-response?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ccs-author-response. The install tabs above show the steps for each supported agent. - Which AI agents does ccs-author-response 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 ccs-author-response safe to use?
- 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 ccs-author-response still maintained?
- The repository was last updated 18 days ago, so ccs-author-response is actively maintained.
Skill content
View source on GitHubname: ccs-author-response description: Use when drafting an ACM CCS rebuttal during the HotCRP author-response window, covering threat-model defenses, adaptive-attack objections, ethics and disclosure questions, anonymity constraints, adversarial reviewer pushback patterns, and decision-focused replies aimed at the meta-reviewer.
CCS Author Response
Use this after CCS reviews are released. Reopen the current HotCRP rebuttal instructions and any length or format limits before drafting, because response mechanics are set per cycle.
Triage
- Answer concerns that affect the decision: threat-model soundness, novelty, correctness, evidence quality, ethics, and disclosure. Skip cosmetic complaints unless space allows.
- Use evidence already in the submission: sections, appendices, measurement tables, and the ethics section. The rebuttal clarifies the submitted paper; it does not add a new paper.
- Keep the reply anonymous. Do not reveal institution, authorship, private URLs, or the identity of a disclosed vendor if that would deanonymize you.
- Correct factual misreadings first, then address the strongest objection to the attacker model or the adaptive evaluation.
- Do not promise experiments you cannot run before camera-ready; promise only edits that add no unsupported claim.
Drafting pattern
- State the decision-critical correction or concession in the first line.
- Point to exact submitted evidence (section, figure, appendix).
- Explain the security consequence — why the attack still holds, or the defense still binds.
- Offer a scoped camera-ready edit only where it clarifies without over-claiming.
Adversarial reviewer pushback patterns
| Pushback | What it signals | CCS-ready fix | |---|---|---| | "The attacker assumes too much" | The threat model looks unrealistic | Point to where the capability is justified, or scope the claim to the realistic subset and concede the rest | | "You never tested an adaptive attacker" | The defense evaluation looks incomplete | Reference the adaptive experiment if present; if absent, concede and commit to a bounded camera-ready addition only if honestly feasible | | "This is already a known CVE" | A prior-art gap | Distinguish root cause, scope, or impact from the CVE, with the specific technical delta | | "The ethics of this are unaddressed" | Disclosure or harm concern | State the disclosure timeline, the harm-minimization steps, and the reasoning, quoting the ethics section |
Response micro-example
Reviewer objection: the key-recovery attack assumes co-located measurement that real attackers cannot achieve. Reply skeleton:
- Concede the strongest form needs co-location; scope the practical claim to that setting.
- Point to Section 6 where a remote variant with degraded rate is already measured.
- Note the defense in Section 7 blocks both variants, so the contribution stands.
- Offer one camera-ready sentence making the co-location assumption explicit in the intro.
Rebuttal calibration
- One decision-critical point per reviewer beats an exhaustive rebuttal; CCS meta-reviewers read for whether the central threat-model or ethics objection was actually resolved.
- Never paste new experimental results the reviewers cannot verify; describe what exists and anchor it in the submission.
- Answer the ethics reviewer directly and early; an unaddressed disclosure concern outweighs resolved technical nits at decision time.
Output format
[Priority issue] <reviewer concern>
[Decision dimension] threat model / novelty / correctness / evidence / ethics
[Draft response] <CCS-ready anonymous text>
[Evidence anchor] <section / figure / appendix item>
[Forbidden content removed] <identity leaks, unverifiable new results, over-promises>
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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.
