CCFA Skills is a family of agent skills that helps researchers develop the storyline and presentation of CCF-A research papers. It supports work across research ideas, literature, experiments, writing, figures, reviews, rebuttals, and submission while keeping the argument connected. The catalogue entry consists of the project's research-writing skills and plugin.
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.
npx skills add mikubaka88/CCFA-Skills --skill ccf-rebuttal-writergit clone --depth 1 https://github.com/mikubaka88/CCFA-SkillsWrote 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.
[](https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-rebuttal-writer)<a href="https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-rebuttal-writer"><img src="https://agentmods.dev/badge/skills/mikubaka88/ccfa-skills/ccf-rebuttal-writer/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.
<a href="https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-rebuttal-writer"><img src="https://agentmods.dev/badge/skills/mikubaka88/ccfa-skills/ccf-rebuttal-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.00999 |
| Opus 5 | $0.00034 | $0.00500 |
| Sonnet 5 | $0.00014 | $0.00200 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
ccf-rebuttal-writer 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CCF Rebuttal Writer
Core Rule
Handle post-review communication and revision accountability. Responses must be calm, factual, evidence-grounded, and promise only feasible changes. Resubmission adaptation is conservative by default: no new experiments and no bibliography changes unless the user explicitly authorizes them. Follow the user's requested response format: plain text, TeX, reviewer-by-reviewer, issue-grouped, table-first, or short response.
Modes
rebuttal: reviewer/AC response under a word or time budget.revision-ledger: reviewer comment -> action -> manuscript location -> owner -> status.response-letter: revision summary or camera-ready response letter.resubmission: adapt an already written paper to a new venue with conservative defaults.
Workflow
- Identify venue, response format, word budget, deadline, review scores/confidence, and whether this is rebuttal, revision, or resubmission.
- Parse comments into issue groups by reviewer, concern type, severity, available evidence, response strategy, and promised paper change.
- Load
references/response-strategy.mdfor substantial responses and apply../ccf-paper-writer/references/prose-quality-guardrails.md; answer actual high-impact concerns first: soundness, novelty, missing evidence, incorrect assumptions, and shared concerns. - Load
references/revision-ledger.mdwhenever promised edits, manuscript locations, resubmission actions, review rounds, or cross-version score changes must be tracked. Update one canonical ledger in place; do not create a separate ledger per round unless the user requests snapshots. - For full rebuttals, load
references/tex-templates.mdand use the TeX templates inassets/templates/when useful. - For resubmission, map old reviewer concerns to the new venue's constraints through
ccf-submission-checker; do not silently add experiments or bibliography changes. - Hand off to
ccf-paper-writerfor manuscript revisions,ccf-experiment-designerfor authorized new evidence, andccf-submission-checkerfor venue/package checks.
What ships with it
9 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.
- agents/openai.yaml 414 B
- assets/templates/ac-focused-response.tex 2.2 KB
- assets/templates/compact-response.tex 1.5 KB
- assets/templates/default-general-common-reviewer.tex 4.4 KB
- assets/templates/reviewer-specific-response.tex 2.0 KB
- references/response-checklists.md 5.1 KB
- references/response-strategy.md 7.2 KB
- references/revision-ledger.md 2.9 KB
- references/tex-templates.md 1.9 KB
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.
- 6d ago Changed · +6 lines · -14 tokens per session 9c78075b005d
- 13d ago First seen · 62 lines · 83 tokens per session scan A 5787fb42b27a
ccf-rebuttal-writer is a skill published in the GitHub repository mikubaka88/CCFA-Skills (2,422 stars, last pushed 6d ago), licensed MIT. It adds 69 tokens to every session and 999 once invoked, about $0.0003 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 2026-08-30.
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