A skill your agent uses when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts…

MITAuto-check passedResearch & Science

Install Colm Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colm-related-work -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colm-related-work --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/COLM-Skills/skills/colm-related-work .claude/skills/colm-related-work && 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
colm-related-work
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
775 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts…

  • Works in 3 steps: Sweep arXiv for the last ~3 months… → Give genuinely concurrent work its own… → Never bury a concurrent paper you know…
  • Positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations
  • SKILL.md covers Triage the literature into lanes, arXiv status honesty, Concurrent work: the protocol and Positioning moves that work here, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Colm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management, Literature review and Academic paper search. It works with arXiv. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations
  • Handling concurrent work fairly
  • Citing model and dataset artifacts correctly
  • Distinguishing COLMs three-edition archive from adjacent venues archives

Example prompts

  • “s three-edition archive from adjacent venues”
  • “/colm-related-work”

Workflow steps

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

  1. Sweep arXiv for the last ~3 months against your core claims in the final week
  2. Give genuinely concurrent work its own labeled paragraph: state the overlap and
  3. Never bury a concurrent paper you know about. A reviewer who finds it first

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Colm Related Work loads about 1.6k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 775 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 775 words, ~1,599 tokens.

Download SKILL.mdSave it as .claude/skills/colm-related-work/SKILL.md (or your agent's skills folder).
name
colm-related-work
description
Use when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.

The LM literature moves faster than any archival process: the work you must position against is substantially on arXiv, some of it appeared after your experiments finished, and some "well-known results" are blog posts. A COLM related-work section is therefore an exercise in versioned honesty — saying precisely what existed, where, and when, without pretending the field is tidier than it is.

Triage the literature into lanes

Cover each lane that touches your claim; reviewers at this venue are typically active in two or three of them and will notice a missing lane immediately:

LaneWhat to position againstTypical miss
Method lineageThe 2-4 papers your technique descends fromCiting a survey instead of the source
Phenomenon reportsPrior observations of the effect you study, incl. analysis papersIgnoring negative or contradictory reports
Evaluation infrastructureThe benchmarks/harnesses you use or compete withTreating a benchmark as neutral ground rather than citable, criticizable work
Model artifactsThe model families your claims are scoped toCiting a company blog when a technical report exists (or vice versa — cite what actually exists)
Adjacent-venue archiveRelated results at ICLR/NeurIPS/ACL/EMNLP and in COLM 2024-2025Assuming COLM reviewers only read COLM

Checking the COLM 2024 and 2025 accepted lists for near neighbors is cheap and high-yield: citing the venue's own archive signals you know where you are submitting, and the archive is only two editions deep (checked 2026-07-08).

arXiv status honesty

State venue status accurately at citation time: published (venue, year), arXiv-only (cite the arXiv ID; do not launder it into a "publication"), or since-published (prefer the archival version, keep the arXiv date if chronology matters to your priority story). For results that exist only as blog posts or model cards, cite them as what they are, with access dates — at a venue that studies industry models, gray literature is unavoidable; disguising it is the sin.

Concurrent work: the protocol

With a March 31 deadline and a field publishing daily, concurrency is guaranteed. The credible pattern:

  1. Sweep arXiv for the last ~3 months against your core claims in the final week before submission (and again before the May rebuttal — reviewers will cite what appeared in April).
  2. Give genuinely concurrent work its own labeled paragraph: state the overlap and the delta in one factual sentence each, without defensive framing.
  3. Never bury a concurrent paper you know about. A reviewer who finds it first converts a neutral fact into a credibility wound.
text
Concurrent-work paragraph skeleton:
  "Concurrent work [X, arXiv YYMM] also studies <shared object>.
   They <their finding, one clause>; we <orthogonal axis: different
   models / different measurement / different conclusion and why>.
   Results were developed independently."

Positioning moves that work here

  • Against benchmark papers: engage their validity arguments, not just their difficulty numbers — evaluation critique is a first-class COLM genre.
  • Against method papers: identify the assumption or budget under which they win, and place your contribution on that axis rather than claiming dominance.
  • Against analysis papers: state whether you replicate, extend, or contradict each prior observation, model-by-model where findings disagree — disagreement across model families is a finding, not an embarrassment.
Show full SKILL.md (291 more words)Show less

A positioning micro-example

The difference between listing and positioning, on one fictional paragraph:

  • Listing (weak): "Prior work has studied contamination [1,2,3], benchmarks [4,5], and knowledge cutoffs [6]. We also study contamination."
  • Positioning (strong): "[1] detects verbatim overlap via n-gram matching, which [2] shows misses paraphrase leakage; [6] estimates effective cutoffs from model behavior but cannot separate exposure from difficulty drift. Our dated-item design closes exactly that gap: exposure becomes an experimental variable rather than an inference."

Every cited paper in the strong version does work — it carries a specific capability or limitation that motivates a design choice. A COLM reviewer reads related work as the paper's reasoning about its field, not as a bibliography compliance exercise; a paragraph where citations are interchangeable is a paragraph that is not yet written.

Double-blind self-citation

Cite your own prior work in the third person, exactly as you would a stranger's. The LM-specific trap is artifact continuity: "we evaluate on the dataset of [7]" is safe; "we extend our dataset [7]" is a leak; a Hugging Face link under your org inside the related-work section is a hard violation of COLM's no-identifying-links rule (colm-submission).

Pre-submission citation audit

  • Every lane in the table above covered or consciously excluded.
  • Every citation's venue status accurate as of the submission date.
  • Concurrent-work paragraph present if the sweep found anything; sweep re-run in deadline week.
  • No first-person self-reference; no author-resolving artifact links.
  • Bibliography sanity pass: LLM-assisted writing has made fabricated references a named disclosure category in COLM's 2026 policy — verify that every entry resolves to a real document. A hallucinated citation found in review reads as an integrity problem, not a typo.
  • Citation pages are unlimited under the 2026 format — never cut references to save space; cut prose.

Output format

text
[Lane coverage] method ▢ phenomenon ▢ eval-infra ▢ artifacts ▢ adjacent-archive ▢
[COLM-archive neighbors] <papers from 2024/2025 accepted lists, or "none — checked">
[arXiv honesty] clean / laundered citations at: <items>
[Concurrent work] handled: <papers> / sweep stale — rerun
[Self-citation risk] none / leaks at: <locations>
[Reference integrity] all resolve / unverified: <count>

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

Files

Just SKILL.md in COLM-Skills/skills/colm-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Colm Related Work 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.

Colm Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Colm Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT
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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 Colm Related Work

What does Colm Related Work do?

A skill your agent uses when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts…. Colm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.

When should I use Colm Related Work?

Colm Related Work fits situations like: positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations; handling concurrent work fairly; citing model and dataset artifacts correctly; distinguishing COLMs three-edition archive from adjacent venues archives.

How do I install Colm Related Work in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colm-related-work -a claude-code`. Or copy the skill folder (COLM-Skills/skills/colm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/colm-related-work in your project. Claude Code loads it when a task matches its description.

How do I install Colm Related Work in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colm-related-work -a codex`. Or copy the skill folder (COLM-Skills/skills/colm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/colm-related-work in your project. Codex loads it when a task matches its description.

Can I use Colm Related Work 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/Awesome-Journal-Skills --skill colm-related-work -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/colm-related-work, .gemini/skills/colm-related-work, .github/skills/colm-related-work and .opencode/skills/colm-related-work in your project.

What does Colm Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Colm Related Work is instructions for the agent only.

Does Colm Related Work 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 Colm Related Work 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 Colm Related Work use?

Colm Related Work 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 Colm Related Work use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Colm Related Work?

Skills that share tags, products or a category with Colm Related Work: 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 Colm Related Work?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

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