Communications-domain literature review and related-work search with database-aware source control.

Custom licenceAuto-check passedResearch & Science

Install Comm Lit Review

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills comm-lit-review --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review .claude/skills/comm-lit-review && 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
comm-lit-review
GitHub stars
4.6k
Token cost
~1.5k tokens
SKILL.md length
700 words
Files
5 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Communications-domain literature review and related-work search with database-aware source control.

  • Works in 6 steps: Classify the request → Lock the search policy → Search primary sources first → …
  • The task is about communications
  • SKILL.md covers Overview, Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Comm Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Communications-domain literature review and related-work search with database-aware source control. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, prior art, a survey, related work, or a landscape summary. Prioritize IEEE Xplore and ScienceDirect, prefer formal publications over…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/domain-taxonomy.md`, `references/output-template.md` and `references/source-policy.md`).

It sits in Research & Science, covering Literature review, Academic paper search and Intellectual property. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • The task is about communications
  • Transport protocols
  • Congestion control
  • Rate adaptation

Example prompts

  • “/comm-lit-review”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Classify the request
  2. Lock the search policy
  3. Search primary sources first
  4. Extract paper-level facts
  5. Synthesize as a communications review
  6. Produce a research-useful output

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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.

    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

Comm Lit Review loads about 1.5k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 700 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~148
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 700 words (~1,484 tokens).

“Run communications-focused paper search with tighter source policy than a generic literature review. Default to formal publications, prioritize IEEE Xplore and ScienceDirect, then ACM Digital Library, and output a review that is structured for research use rather than casual browsing.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
comm-lit-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/domain-taxonomy.md
  • references/output-template.md
  • references/source-policy.md
  • references/venue-tiering.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Comm Lit Review 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.

Comm Lit Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Comm Lit Review this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.5kAutomated safety check: PassCustom licence
NeuroarxivUditAkhourii/neuroarxiv433—~3.1kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT

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Questions about Comm Lit Review

What does Comm Lit Review do?

Communications-domain literature review and related-work search with database-aware source control. Comm Lit Review is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Communications-domain literature review and related-work search with database-aware source control.

When should I use Comm Lit Review?

Comm Lit Review fits situations like: the task is about communications; transport protocols; congestion control; rate adaptation.

How do I install Comm Lit Review in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a claude-code`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/comm-lit-review in your project. Claude Code loads it when a task matches its description.

How do I install Comm Lit Review in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a codex`. Or copy the skill folder (skills/42-wanshuiyin-ARIS/skills/skills-codex/comm-lit-review in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/comm-lit-review in your project. Codex loads it when a task matches its description.

Can I use Comm Lit Review 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill comm-lit-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comm-lit-review, .gemini/skills/comm-lit-review, .github/skills/comm-lit-review and .opencode/skills/comm-lit-review in your project.

What does Comm Lit Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Comm Lit Review is instructions for the agent only.

Does Comm Lit Review 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 Comm Lit Review 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 Comm Lit Review use?

Comm Lit Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Comm Lit Review use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Comm Lit Review?

Skills that share tags, products or a category with Comm Lit Review: Neuroarxiv (UditAkhourii/neuroarxiv, 433 stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars) and Systematic Literature Review Builder (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Comm Lit Review?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

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