Agent skill

Ccf Literature Monitor

by mikubaka88 in mikubaka88/CCFA-Skills

Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap.

MITAuto-check passedResearch & Science

Install Ccf Literature Monitor

skills CLI
$ npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-monitor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mikubaka88/CCFA-Skills ccf-literature-monitor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ccf-literature-monitor .claude/skills/ccf-literature-monitor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ccf-literature-monitor
GitHub stars
3k
Token cost
~1.8k tokens
SKILL.md length
623 words
Files
4 (incl. references)
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap.

  • Works in 7 steps: Load references/monitoring-workflow.md. → If project state is available… → Choose the mode and time window. If the… → …
  • Recurring novelty watch
  • SKILL.md covers Family File Contract, Collaboration Contract, Core Rule and Modes, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ccf Literature Monitor is an agent skill from mikubaka88/CCFA-Skills. Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap. Use for 竞品监控, 新论文追踪, 论文跟踪, and recurring novelty watch. Give dated evidence and changes since the prior scan. Broad related-work retrieval belongs to ccf-literature-searcher.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/monitoring-workflow.md` and `references/report-template.md`).

It sits in Research & Science, covering Academic paper search and Literature review. It works with arXiv. The repository describes itself as: A skill family for shaping the research storyline of CCF-A papers. The licence is MIT.

When your agent uses it

  • Recurring novelty watch
  • Tasks that involve Academic paper search
  • Tasks that involve Literature review

Example prompts

  • “/ccf-literature-monitor”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Load references/monitoring-workflow.md.
  2. If project state is available (ccfa.yaml), read the current idea, target venue, claims, and tracked competitors.
  3. Choose the mode and time window. If the user says "latest", "recent", "new", "this week", or "today", verify the current date and use an…
  4. Execute the requested monitoring mode using public-safe queries and source-quality exclusions from the shared policy.
  5. Classify overlaps by problem, mechanism, evidence, benchmark, dataset, claim, and venue positioning.
  6. Report new or materially changed findings, with precise implications for the requested research decision. Use existing report history to…
  7. Execute already requested downstream work through its owner; otherwise offer optional handoff to ccf-literature-searcher for deep…

What it can do on your machine

Read from SKILL.md and the folder at commit 5969e6b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ccf Literature Monitor loads about 1.8k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 623 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mikubaka88/CCFA-Skills at commit 5969e6b, republished under its MIT licence (© mikubaka88). 623 words, ~1,834 tokens.

Download SKILL.mdSave it as .claude/skills/ccf-literature-monitor/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
ccf-literature-monitor
description
Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap. Use for 竞品监控, 新论文追踪, 论文跟踪, and recurring novelty watch. Give dated evidence and changes since the prior scan. Broad related-work retrieval belongs to ccf-literature-searcher.

CCF Literature Monitor

Family File Contract

Before writing, resolve the canonical output and one stable working directory per task/artifact. Reuse explicit or established task paths; otherwise use project-root ccfa-workfiles/<purpose>/<artifact-id>/, with source/, assets/, cache/, and build/ only as needed. Update current files in place; do not scatter intermediates or create iteration copies. Preserve inputs and required evidence; clean only verified disposable files created by this task. Use UTF-8 text I/O and check Chinese text after saving or rendering. For file work, apply artifact-contracts.md and reuse the same paths across skill transitions.

Collaboration Contract

Before specialist execution, read and apply ccf-humanization first, then ccf-common. At every handoff, reuse their applicable active rules or refresh missing/changed ones. Both preflights are required even without prose; detailed editing, experiment, and maintenance modes run only when relevant.

Keep one integrating owner and actively use other skills to resolve missing prerequisites or check material findings. Reuse applicable evidence; do not skip necessary groundwork to save tokens. Before finalizing, integrate contributions and verify affected results. Follow the conditional cooperation routes; avoid unrelated stages and duplicate reports.

Core Rule

Monitor arXiv, OpenReview, conference/proceedings feeds, project pages, labs, and named competitors for new papers that could overlap with the user's idea or paper. Report findings factually. Do not exaggerate novelty threats, dismiss real overlap, or infer priority from weak evidence. Provide actionable signals: RELAX, RESEARCH, FOLLOW-UP.

Modes

  • arxiv-watch: scan recent papers in target categories or keyword clusters.
  • venue-watch: scan OpenReview, proceedings, accepted-paper lists, or official venue pages.
  • novelty-check: compare a given idea with recent papers and flag overlap.
  • trend-scouting: summarize emerging directions, crowded areas, and under-tested gaps.
  • competitor-tracking: monitor named research groups, labs, repositories, datasets, benchmarks, or authors.
  • paper-alert-digest: produce a recurring watch report suitable for saving into a project folder.

Skill Linkage

  • @READS ccfa.yaml for idea state.
  • @SHARES findings with ccf-literature-searcher.
  • @SHARES novelty implications with ccf-idea-reviewer.
  • @SHARES rescue or differentiation opportunities with ccf-idea-optimizer.
  • @SHARES citation and positioning candidates with ccf-paper-writer.
  • @FLAGS conflicting papers for ccf-integrity-auditor.

Invocation Controls

CCFA Handoff Mode: PARTIAL (Recommended). Follow metadata.ccf_skill_controls.handoff_question_mode and ../ccf-common/references/handoff-modes.md.

Load ../ccf-common/references/task-modes.md before deciding exploratory, quick, or standard mode.

Treat unpublished ideas, draft abstracts, methods, and results as private material. Load ../ccf-common/references/privacy-and-evidence.md before using private text in queries. Use public-safe keywords, public method names, venue names, and user-approved query text.

Load ../ccf-common/references/review-output-standards.md when monitor results feed idea scoring, paper review, or score-risk language.

Show full SKILL.md (233 more words)Show less

Workflow

  1. Load references/monitoring-workflow.md.
  2. If project state is available (ccfa.yaml), read the current idea, target venue, claims, and tracked competitors.
  3. Choose the mode and time window. If the user says "latest", "recent", "new", "this week", or "today", verify the current date and use an explicit date range.
  4. Execute the requested monitoring mode using public-safe queries and source-quality exclusions from the shared policy.
  5. Classify overlaps by problem, mechanism, evidence, benchmark, dataset, claim, and venue positioning.
  6. Report new or materially changed findings, with precise implications for the requested research decision. Use existing report history to avoid presenting the same paper as new.
  7. Execute already requested downstream work through its owner; otherwise offer optional handoff to ccf-literature-searcher for deep retrieval, ccf-idea-reviewer for score impact, ccf-idea-optimizer for differentiation, or ccf-paper-writer for related-work integration.

Output Contract

For each monitoring execution, report in this structure:

markdown
## Literature Monitoring Report: [Mode] - [Topic/Venue]

**As of:** [YYYY-MM-DD]
**Time range:** [from] to [to]
**Sources scanned:** [arXiv categories / venues / labs / APIs]
**Papers scanned:** [count]
**High-relevance papers:** [count]
**Overall signal:** RELAX / RESEARCH / FOLLOW-UP

| Title | Source | Overlap level | Overlap type | Evidence basis | Action |
|:---|:---|:---:|:---|:---|:---:|
| [title] | [arXiv/OpenReview/venue] | None/Low/Medium/High | Problem/Method/Evidence/Benchmark | [abstract/intro/result] | RELAX/RESEARCH/FOLLOW-UP |

**Actionable flags:**
- RELAX: no material overlap found in the scanned window; continue, but do not claim full novelty proof.
- RESEARCH: partial overlap or possible close work; deep retrieve via `ccf-literature-searcher`.
- FOLLOW-UP: significant overlap in problem, mechanism, and evidence; route to `ccf-idea-reviewer` or `ccf-idea-optimizer` before writing stronger novelty claims.

**Handoff signals:**
- `ccf-literature-searcher`: [papers or clusters to retrieve deeply]
- `ccf-idea-reviewer`: [novelty or score implications]
- `ccf-idea-optimizer`: [differentiation or rescue direction]
- `ccf-paper-writer`: [related-work or positioning update]
- `ccf-integrity-auditor`: [citation/attribution conflict]

**Output self-check:** [date range explicit, source basis stated, table valid, no unsupported novelty conclusion]

References

  • references/monitoring-workflow.md — Workflow, api-key-management, search strategy.
  • references/report-template.md — Output template and formatting.
  • ../ccf-common/references/source-registry.yaml — Competitor and arxiv links.

Execution And Persistence

Distinguish a single scan from recurring monitoring. A recurring report format is not a scheduler: claim ongoing monitoring only after an actual authorized scheduled job exists. Record the time window and coverage; an empty scan is not proof of novelty. Deduplicate by stable paper identity and version, separating first publication from revisions. Batch independent feeds when supported; preserve real monitoring history under ../ccf-common/references/artifact-contracts.md. Follow no-new-files and existing project-state authorization.

© mikubaka88, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in ccf-literature-monitor of mikubaka88/CCFA-Skills.

  • SKILL.md
  • agents/openai.yaml
  • references/monitoring-workflow.md
  • references/report-template.md

Open the folder on GitHubat commit 5969e6b

Compare with similar skills

Ccf Literature Monitor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ccf Literature Monitor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ccf Literature Monitor this skillmikubaka88/CCFA-Skills3k—~1.8kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Works with

Questions about Ccf Literature Monitor

What does Ccf Literature Monitor do?

Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap. Ccf Literature Monitor is an agent skill from mikubaka88/CCFA-Skills. Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap.

When should I use Ccf Literature Monitor?

Ccf Literature Monitor fits situations like: recurring novelty watch; tasks that involve Academic paper search; tasks that involve Literature review.

How do I install Ccf Literature Monitor in Claude Code?

Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-monitor -a claude-code`. Or copy the skill folder (ccf-literature-monitor in mikubaka88/CCFA-Skills) into .claude/skills/ccf-literature-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Ccf Literature Monitor in Codex?

Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-monitor -a codex`. Or copy the skill folder (ccf-literature-monitor in mikubaka88/CCFA-Skills) into .agents/skills/ccf-literature-monitor in your project. Codex loads it when a task matches its description.

Can I use Ccf Literature Monitor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccf-literature-monitor, .gemini/skills/ccf-literature-monitor, .github/skills/ccf-literature-monitor and .opencode/skills/ccf-literature-monitor in your project.

What does Ccf Literature Monitor need to run?

SKILL.md names no scripts, command-line tools or credentials: Ccf Literature Monitor is instructions for the agent only.

Does Ccf Literature Monitor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ccf Literature Monitor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ccf Literature Monitor use?

Ccf Literature Monitor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ccf Literature Monitor use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Ccf Literature Monitor?

Skills that share tags, products or a category with Ccf Literature Monitor: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ccf Literature Monitor?

mikubaka88 (a GitHub user) maintains it in mikubaka88/CCFA-Skills, which has 3,015 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 16, 2026.

Source: mikubaka88/CCFA-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.