Agent skill

Cumcm Independent Review

by Lucasuiii in Lucasuiii/modeling-workbench

Independently review a CUMCM computation package before its claims enter validation or paper writing.

MITAuto-check passedResearch & Science

Install Cumcm Independent Review

skills CLI
$ npx skills add Lucasuiii/modeling-workbench --skill cumcm-independent-review -a claude-code

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

GitHub CLI
$ gh skill install Lucasuiii/modeling-workbench cumcm-independent-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/Lucasuiii/modeling-workbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cumcm-workflow/assets/independent-review .claude/skills/cumcm-independent-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
cumcm-independent-review
GitHub stars
172
Token cost
~729 tokens
SKILL.md length
341 words
Files
2
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

Independently review a CUMCM computation package before its claims enter validation or paper writing.

  • Works in 7 steps: Read REVIEW_REQUEST.md and… → Reconstruct each subproblem from the… → Compare the official request with the… → …
  • Tasks that involve Scientific writing
  • SKILL.md covers Boundaries, Review order and Verdict
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cumcm Independent Review is an agent skill from Lucasuiii/modeling-workbench. Independently review a CUMCM computation package before its claims enter validation or paper writing. Use only inside a generated independent-review package.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `REVIEW_REQUEST.md`).

It sits in Research & Science, covering Scientific writing. The repository describes itself as: Contest-native, evidence-focused math modeling workflow for Codex and Claude Code. The licence is MIT.

When your agent uses it

  • Tasks that involve Scientific writing

Example prompts

  • “/cumcm-independent-review”

Workflow steps

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

  1. Read REVIEW_REQUEST.md and materials/problem/SOURCE_MANIFEST.json. In targeted mode, also read package-root TARGETED_FINDINGS.json; it is…
  2. Reconstruct each subproblem from the supplied official files and PROBLEM_FACTS.json.
  3. Compare the official request with the model objective, variables, constraints, assumptions, and cross-question dependencies.
  4. Inspect computation entry points, run manifests, executed outputs, and result locators.
  5. Challenge relevant failure classes
  6. For targeted mode, resolve every entry in TARGETED_FINDINGS.json first. Do not repeat a full review unless the target change has global…
  7. Write the raw review and structured result using the supplied template.

What it can do on your machine

Read from SKILL.md and the folder at commit b4af5f7. 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

Cumcm Independent Review loads about 729 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 341 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~729

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 Lucasuiii/modeling-workbench at commit b4af5f7, republished under its MIT licence (© Lucasuiii). 341 words, ~729 tokens.

Download SKILL.mdSave it as .claude/skills/cumcm-independent-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cumcm-independent-review
description
Independently review a CUMCM computation package before its claims enter validation or paper writing. Use only inside a generated independent-review package.

CUMCM Independent Review

Review this freshness-bound package without consulting the originating conversation. Treat conclusions as untrusted and reconstruct only what is needed from official inputs, contracts, selected source, official runs, and outputs.

Boundaries

  • Work read-only inside the package.
  • Do not search for missing official materials. Report them as missing.
  • Do not edit, rerun, or replace the preserved execution unless the user separately authorizes a reproduction run.
  • File existence and successful execution do not prove that the model answers the official question.
  • Verify the package/upstream bindings before substantive review; a stale package is inconclusive.
  • Give exact file, formula, code, or numerical locations for every P0/P1 finding.
  • Preserve negative and inconclusive findings verbatim.

Review order

  1. Read REVIEW_REQUEST.md and materials/problem/SOURCE_MANIFEST.json. In targeted mode, also read package-root TARGETED_FINDINGS.json; it is the self-contained prior-P0 brief, so do not request the complete prior review.
  2. Reconstruct each subproblem from the supplied official files and PROBLEM_FACTS.json.
  3. Compare the official request with the model objective, variables, constraints, assumptions, and cross-question dependencies.
  4. Inspect computation entry points, run manifests, executed outputs, and result locators.
  5. Challenge relevant failure classes:
    • task or target misunderstood;
    • upper/lower bound or optimization direction reversed;
    • a quantity counted twice;
    • unsupported extrapolation;
    • an observed variable omitted without justification;
    • cross-question contradiction;
    • code and mathematical formulation disagree;
    • numerical output violates units, bounds, conservation, or official constraints.
  6. For targeted mode, resolve every entry in TARGETED_FINDINGS.json first. Do not repeat a full review unless the target change has global impact or current evidence reveals a new, well-supported P0.
  7. Write the raw review and structured result using the supplied template.

Verdict

  • accepted: no open P0 and no material unresolved concern in scope.
  • accepted_with_concerns: no open P0; one or more P1 concerns remain.
  • revision_required: at least one open P0 requires returning to the earliest affected stage.
  • inconclusive: required material is missing or the available evidence cannot support a decision.

Classify findings as P0/P1/P2 and open/resolved/accepted_concern. State the reviewer, model if applicable, originating/reviewer task references, and independence grade. Never describe same-context review as independent; a same-model fresh task remains correlated.

© Lucasuiii, 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 1 other file in .agents/skills/cumcm-workflow/assets/independent-review of Lucasuiii/modeling-workbench.

  • SKILL.md
  • REVIEW_REQUEST.md

Open the folder on GitHubat commit b4af5f7

Compare with similar skills

Cumcm Independent 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.

Cumcm Independent Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cumcm Independent Review this skillLucasuiii/modeling-workbench172—~729Automated safety check: PassMIT
Nature-Style Scientific FiguresYuan1z0825/nature-skills47k—~3.1kAutomated safety check: PassApache-2.0
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Academic Paper Composerlishix520/academic-paper-skills1.4k2 repos~6.3kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Questions about Cumcm Independent Review

What does Cumcm Independent Review do?

Independently review a CUMCM computation package before its claims enter validation or paper writing. Cumcm Independent Review is an agent skill from Lucasuiii/modeling-workbench. Independently review a CUMCM computation package before its claims enter validation or paper writing.

When should I use Cumcm Independent Review?

Cumcm Independent Review fits situations like: tasks that involve Scientific writing.

How do I install Cumcm Independent Review in Claude Code?

Run `npx skills add Lucasuiii/modeling-workbench --skill cumcm-independent-review -a claude-code`. Or copy the skill folder (.agents/skills/cumcm-workflow/assets/independent-review in Lucasuiii/modeling-workbench) into .claude/skills/cumcm-independent-review in your project. Claude Code loads it when a task matches its description.

How do I install Cumcm Independent Review in Codex?

Run `npx skills add Lucasuiii/modeling-workbench --skill cumcm-independent-review -a codex`. Or copy the skill folder (.agents/skills/cumcm-workflow/assets/independent-review in Lucasuiii/modeling-workbench) into .agents/skills/cumcm-independent-review in your project. Codex loads it when a task matches its description.

Can I use Cumcm Independent 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 Lucasuiii/modeling-workbench --skill cumcm-independent-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/cumcm-independent-review, .gemini/skills/cumcm-independent-review, .github/skills/cumcm-independent-review and .opencode/skills/cumcm-independent-review in your project.

What does Cumcm Independent Review need to run?

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

Does Cumcm Independent 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 Cumcm Independent 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 Cumcm Independent Review use?

Cumcm Independent Review 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 Cumcm Independent Review use?

About 729 tokens (SKILL.md is roughly 2.9k 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 Cumcm Independent Review?

Skills that share tags, products or a category with Cumcm Independent Review: Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 47k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Academic Paper Composer (lishix520/academic-paper-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cumcm Independent Review?

Lucasuiii (a GitHub user) maintains it in Lucasuiii/modeling-workbench, which has 172 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 23, 2026.

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