Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…
Install Establishing Feasibility First
$ npx skills add K-Dense-AI/science-superpowers --skill establishing-feasibility-first -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/science-superpowers establishing-feasibility-first --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/establishing-feasibility-first .claude/skills/establishing-feasibility-first && 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 "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .claude/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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/establishing-feasibility-firstType 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 establishing-feasibility-first -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/science-superpowers establishing-feasibility-first --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/establishing-feasibility-first .agents/skills/establishing-feasibility-first && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .agents/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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 establishing-feasibility-first -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/science-superpowers establishing-feasibility-first --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/establishing-feasibility-first .cursor/skills/establishing-feasibility-first && 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 "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .cursor/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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/establishing-feasibility-first--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 establishing-feasibility-first -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/science-superpowers establishing-feasibility-first --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/establishing-feasibility-first .gemini/skills/establishing-feasibility-first && 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 "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .gemini/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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 establishing-feasibility-firstInstalls 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 establishing-feasibility-first -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/establishing-feasibility-first .github/skills/establishing-feasibility-first && 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 "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .github/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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 establishing-feasibility-first -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 establishing-feasibility-first --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/establishing-feasibility-first .opencode/skills/establishing-feasibility-first && 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 "establishing-feasibility-first" agent skill from https://github.com/K-Dense-AI/science-superpowers/tree/main/skills/establishing-feasibility-first into .opencode/skills/establishing-feasibility-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "establishing-feasibility-first", 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
establishing-feasibility-first- GitHub stars
- 350
- Token cost
- ~4.2k tokens
- SKILL.md length
- 2,293 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…
- Works in 4 steps: The Minimal End-to-End Runner → Three Scaling Probes → One Exploratory Campaign → …
- Your human partner has explicitly opted into exploratory
- SKILL.md covers Overview, The Iron Laws, The Entry Gate — Opt-In Only and Before Anything: A Short Framing, plus 9 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Establishing Feasibility First is an agent skill from K-Dense-AI/science-superpowers. Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened
Its SKILL.md is about 4.2k 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. 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
- Your human partner has explicitly opted into exploratory
- Feasibility mode - a compute-heavy simulation
- An unproven pipeline
- An unbenchmarked solver
Example prompts
- “/establishing-feasibility-first”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- The Minimal End-to-End Runner
- Three Scaling Probes
- One Exploratory Campaign
- The Exit Gate — Your Human Partner Decides
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Establishing Feasibility First loads about 4.2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 2,293 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 2,293 words (~4,237 tokens).
“When it is not yet known whether the computation can run at all, the decisive experiment is not scientific — it is whether the thing executes at scale. Run that experiment first, on the smallest honest version of the real…”
- name
- establishing-feasibility-first
Files
Just SKILL.md in skills/establishing-feasibility-first of K-Dense-AI/science-superpowers.
Open the folder on GitHubat commit 0374bdf
Compare with similar skills
Establishing Feasibility First 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 |
|---|---|---|---|---|---|---|
| Establishing Feasibility First this skillK-Dense-AI/science-superpowers | 350 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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Dispatching Parallel Investigations
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You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…
Investigating Anomalous Results
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A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
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A skill your agent uses when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable -…
Reporting And Archiving Findings
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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
Related
Categories
Questions about Establishing Feasibility First
What does Establishing Feasibility First do?
A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…. Establishing Feasibility First is an agent skill from K-Dense-AI/science-superpowers.
When should I use Establishing Feasibility First?
Establishing Feasibility First fits situations like: your human partner has explicitly opted into exploratory; feasibility mode - a compute-heavy simulation; an unproven pipeline; an unbenchmarked solver.
How do I install Establishing Feasibility First in Claude Code?
Run `npx skills add K-Dense-AI/science-superpowers --skill establishing-feasibility-first -a claude-code`. Or copy the skill folder (skills/establishing-feasibility-first in K-Dense-AI/science-superpowers) into .claude/skills/establishing-feasibility-first in your project. Claude Code loads it when a task matches its description.
How do I install Establishing Feasibility First in Codex?
Run `npx skills add K-Dense-AI/science-superpowers --skill establishing-feasibility-first -a codex`. Or copy the skill folder (skills/establishing-feasibility-first in K-Dense-AI/science-superpowers) into .agents/skills/establishing-feasibility-first in your project. Codex loads it when a task matches its description.
Can I use Establishing Feasibility First 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 establishing-feasibility-first -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/establishing-feasibility-first, .gemini/skills/establishing-feasibility-first, .github/skills/establishing-feasibility-first and .opencode/skills/establishing-feasibility-first in your project.
What does Establishing Feasibility First need to run?
SKILL.md names no scripts, command-line tools or credentials: Establishing Feasibility First is instructions for the agent only.
Does Establishing Feasibility First 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 Establishing Feasibility First 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 Establishing Feasibility First use?
Establishing Feasibility First 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 Establishing Feasibility First use?
About 4.2k tokens (SKILL.md is roughly 17k 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 Establishing Feasibility First?
Skills that share tags, products or a category with Establishing Feasibility First: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Establishing Feasibility First?
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.