Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Audit parameter provenance, metric fit, fair comparisons and robustness; not execution or paper review.
Install Radiology Method Evaluation
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .claude/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.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/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .claude/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .agents/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .agents/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .cursor/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .cursor/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/huang-sir1/radiology-skills.git --path radiology-skills/skills/radiology-method-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .gemini/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .gemini/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .github/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .github/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-method-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/radiology-skills/skills/radiology-method-evaluation .opencode/skills/radiology-method-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "radiology-method-evaluation" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-method-evaluation into .opencode/skills/radiology-method-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-method-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
radiology-method-evaluation- GitHub stars
- 1.9k
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,206 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Audit parameter provenance, metric fit, fair comparisons and robustness; not execution or paper review.
- Works in 7 steps: study question, estimand or intended use… → scope and modalities; cohort/specimen… → frozen method/model/pipeline version and… → …
- Tasks that involve Peer review
- SKILL.md covers Core stance, Choose the entry mode, Minimal intake and Required workflow, plus 4 more sections
- Runs PowerShell scripts from its folder
What it does
Radiology Method Evaluation is an agent skill from huang-sir1/radiology-skills. Audit parameter provenance, metric fit, fair comparisons and robustness; not execution or paper review.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/parameter-and-methodology-evaluation.md` and `templates/local-parameter-and-method-experience-registry.md`).
It sits in Research & Science, covering Peer review.
When your agent uses it
- Tasks that involve Peer review
Example prompts
- “/radiology-method-evaluation”
Requirements
- PowerShell
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- study question, estimand or intended use and affected Claim IDs;
- scope and modalities; cohort/specimen hierarchy and true independent unit;
- frozen method/model/pipeline version and data/split/test-access state;
- parameter values, defaults, candidate ranges/levels, units and rationale sources;
- when and on which data each setting, threshold, model or metric was selected;
- comparators, controls, ablations, evaluation metrics, tuning/compute budget and hardware;
- supplied results, uncertainty, run/seed structure, failures and exact artifact locations.
What it can do on your machine
Read from SKILL.md and the folder at commit aaa0fe6. 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
Ships 1 file in scripts/ (PowerShell), which the agent can run.
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
Radiology Method Evaluation loads about 2.8k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 1,206 words of instructions outside code blocks.
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); the scripts in this folder 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 1,206 words (~2,788 tokens).
“Use this skill to decide whether a parameter choice, evaluation metric, or analytical method is scientifically defensible and whether the available evaluation is sufficient for the stated claim. It is an independent entry point and a cross-cutting reviewer/mentor module, not…”
- name
- radiology-method-evaluation
Files
SKILL.md and 6 other files (scripts, references) in radiology-skills/skills/radiology-method-evaluation of huang-sir1/radiology-skills.
- SKILL.md
- agents/openai.yaml
- references/parameter-and-methodology-evaluation.md
- scripts/validate_method_evaluation_skill.ps1
- templates/local-parameter-and-method-experience-registry.md
- templates/parameter-methodology-evaluation-matrix.md
- tests/evaluation-cases.json
Open the folder on GitHubat commit aaa0fe6
Compare with similar skills
Radiology Method Evaluation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Radiology Method Evaluation this skillhuang-sir1/radiology-skills | 1.9k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Radiology Method Evaluation
What does Radiology Method Evaluation do?
Audit parameter provenance, metric fit, fair comparisons and robustness; not execution or paper review. Radiology Method Evaluation is an agent skill from huang-sir1/radiology-skills. Audit parameter provenance, metric fit, fair comparisons and robustness; not execution or paper review.
When should I use Radiology Method Evaluation?
Radiology Method Evaluation fits situations like: tasks that involve Peer review.
How do I install Radiology Method Evaluation in Claude Code?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-method-evaluation in huang-sir1/radiology-skills) into .claude/skills/radiology-method-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Radiology Method Evaluation in Codex?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-method-evaluation -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-method-evaluation in huang-sir1/radiology-skills) into .agents/skills/radiology-method-evaluation in your project. Codex loads it when a task matches its description.
Can I use Radiology Method Evaluation 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 huang-sir1/radiology-skills --skill radiology-method-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/radiology-method-evaluation, .gemini/skills/radiology-method-evaluation, .github/skills/radiology-method-evaluation and .opencode/skills/radiology-method-evaluation in your project.
What does Radiology Method Evaluation need to run?
Going by SKILL.md and its folder, Radiology Method Evaluation needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.
Does Radiology Method Evaluation 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 Radiology Method Evaluation 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Radiology Method Evaluation use?
Radiology Method Evaluation 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 Radiology Method Evaluation use?
About 2.8k tokens (SKILL.md is roughly 11k 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 4.1k tokens, read only when the agent opens those files.
What are the alternatives to Radiology Method Evaluation?
Skills that share tags, products or a category with Radiology Method Evaluation: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Radiology Method Evaluation?
huang-sir1 (a GitHub user) maintains it in huang-sir1/radiology-skills, which has 1,923 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.
Source: huang-sir1/radiology-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.