Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Install Reporting And Archiving Findings
$ npx skills add K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/science-superpowers reporting-and-archiving-findings --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/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reporting-and-archiving-findings .claude/skills/reporting-and-archiving-findings && 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 "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .claude/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findingsType 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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/science-superpowers reporting-and-archiving-findings --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/reporting-and-archiving-findings .agents/skills/reporting-and-archiving-findings && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .agents/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/science-superpowers reporting-and-archiving-findings --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/reporting-and-archiving-findings .cursor/skills/reporting-and-archiving-findings && 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 "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .cursor/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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/K-Dense-AI/science-superpowers.git --path skills/reporting-and-archiving-findings--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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/science-superpowers reporting-and-archiving-findings --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/reporting-and-archiving-findings .gemini/skills/reporting-and-archiving-findings && 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 "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .gemini/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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 K-Dense-AI/science-superpowers reporting-and-archiving-findingsInstalls 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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/reporting-and-archiving-findings .github/skills/reporting-and-archiving-findings && 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 "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .github/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/science-superpowers reporting-and-archiving-findings --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/reporting-and-archiving-findings .opencode/skills/reporting-and-archiving-findings && 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 "reporting-and-archiving-findings" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/reporting-and-archiving-findings into .opencode/skills/reporting-and-archiving-findings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reporting-and-archiving-findings", 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
reporting-and-archiving-findings- GitHub stars
- 350
- Token cost
- ~1.7k tokens
- SKILL.md length
- 577 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
- Works in 6 steps: Verify Reproducibility → Detect Environment → Determine Base Branch → …
- An analysis is complete and verified
- SKILL.md covers Overview, Step 1: Verify Reproducibility, Step 2: Detect Environment and Step 3: Determine Base Branch, plus 6 more sections
- Calls git and gh
What it does
Reporting And Archiving Findings is an agent skill from K-Dense-AI/science-superpowers. Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility
Its SKILL.md is about 1.7k 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 Reproducible research. It works with Git. The repository describes itself as: Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
When your agent uses it
- An analysis is complete and verified
- You need to decide how to report it and archive the work for reproducibility
Example prompts
- “/reporting-and-archiving-findings”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Verify Reproducibility
- Detect Environment
- Determine Base Branch
- Present Options
- Execute Choice
- Cleanup Workspace
What it can do on your machine
Read from SKILL.md and the folder at commit 0374bdf. 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
Shell commands in SKILL.md call:
gitgh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
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
Reporting And Archiving Findings loads about 1.7k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 577 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); 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 577 words (~1,660 tokens).
“Complete an investigation by confirming reproducibility, presenting clear options, handling the chosen one, and archiving everything needed to reproduce the result.”
- name
- reporting-and-archiving-findings
Files
Just SKILL.md in skills/reporting-and-archiving-findings of K-Dense-AI/science-superpowers.
Open the folder on GitHubat commit 0374bdf
Compare with similar skills
Reporting And Archiving Findings 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 |
|---|---|---|---|---|---|---|
| Reporting And Archiving Findings this skillK-Dense-AI/science-superpowers | 350 | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Compute Environment Setup
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Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
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Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Related
Works with
Categories
Questions about Reporting And Archiving Findings
What does Reporting And Archiving Findings do?
A skill your agent uses when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility. Reporting And Archiving Findings is an agent skill from K-Dense-AI/science-superpowers.
When should I use Reporting And Archiving Findings?
Reporting And Archiving Findings fits situations like: an analysis is complete and verified; you need to decide how to report it and archive the work for reproducibility.
How do I install Reporting And Archiving Findings in Claude Code?
Run `npx skills add K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a claude-code`. Or copy the skill folder (skills/reporting-and-archiving-findings in K-Dense-AI/science-superpowers) into .claude/skills/reporting-and-archiving-findings in your project. Claude Code loads it when a task matches its description.
How do I install Reporting And Archiving Findings in Codex?
Run `npx skills add K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a codex`. Or copy the skill folder (skills/reporting-and-archiving-findings in K-Dense-AI/science-superpowers) into .agents/skills/reporting-and-archiving-findings in your project. Codex loads it when a task matches its description.
Can I use Reporting And Archiving Findings 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 K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reporting-and-archiving-findings, .gemini/skills/reporting-and-archiving-findings, .github/skills/reporting-and-archiving-findings and .opencode/skills/reporting-and-archiving-findings in your project.
What does Reporting And Archiving Findings need to run?
Going by SKILL.md and its folder, Reporting And Archiving Findings needs the command-line tools its instructions call (git and gh).
Does Reporting And Archiving Findings access the network?
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Reporting And Archiving Findings 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 Reporting And Archiving Findings use?
Reporting And Archiving Findings 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 Reporting And Archiving Findings use?
About 1.7k tokens (SKILL.md is roughly 6.6k 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 Reporting And Archiving Findings?
Skills that share tags, products or a category with Reporting And Archiving Findings: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Reporting And Archiving Findings?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/science-superpowers, which has 350 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.
Source: K-Dense-AI/science-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.