Table Fit
asgeirtj/system_prompts_leaks
Keep a Markdown table readable in a narrow terminal of about 100 display columns - a wide table or one carrying prose in its cells wraps into unreadable ragged rows.
This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene.
$ npx skills add lazyFrogLOL/Harness_Engineering --skill raman-fitting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering raman-fitting --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/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/raman-fitting .claude/skills/raman-fitting && 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 "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .claude/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fittingType 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 lazyFrogLOL/Harness_Engineering --skill raman-fitting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering raman-fitting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/raman-fitting .agents/skills/raman-fitting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .agents/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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 lazyFrogLOL/Harness_Engineering --skill raman-fitting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering raman-fitting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/raman-fitting .cursor/skills/raman-fitting && 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 "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .cursor/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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/lazyFrogLOL/Harness_Engineering.git --path skills/raman-fitting--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 lazyFrogLOL/Harness_Engineering --skill raman-fitting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering raman-fitting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/raman-fitting .gemini/skills/raman-fitting && 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 "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .gemini/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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 lazyFrogLOL/Harness_Engineering raman-fittingInstalls 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 lazyFrogLOL/Harness_Engineering --skill raman-fitting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/raman-fitting .github/skills/raman-fitting && 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 "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .github/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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 lazyFrogLOL/Harness_Engineering --skill raman-fitting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lazyFrogLOL/Harness_Engineering raman-fitting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/raman-fitting .opencode/skills/raman-fitting && 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 "raman-fitting" agent skill from https://github.com/lazyFrogLOL/Harness_Engineering/tree/master/skills/raman-fitting into .opencode/skills/raman-fitting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raman-fitting", 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.
raman-fittingThis skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene.
Raman Fitting is an agent skill from lazyFrogLOL/Harness_Engineering. This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene. Use this skill when tasks involve Raman spectrum analysis, peak fitting (G peak, 2D peak, D peak), or spectroscopic curve fitting using Lorentzian, Gaussian, or Voigt functions.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Raman Fitting loads about 1.5k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 608 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 608 words (~1,543 tokens).
“This skill provides procedural knowledge for fitting peaks in Raman spectroscopy data. Raman spectroscopy is commonly used to characterize materials like graphene, carbon nanotubes, and other crystalline structures. Proper peak fitting requires understanding both the physics of Raman scattering and…”
Just SKILL.md in skills/raman-fitting of lazyFrogLOL/Harness_Engineering.
Open the folder on GitHubat commit cae3b25
Raman Fitting 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 |
|---|---|---|---|---|---|---|
| Raman Fitting this skilllazyFrogLOL/Harness_Engineering | 128 | — | ~1.5k | Automated safety check: Pass | None | |
| Table Fitasgeirtj/system_prompts_leaks | 69k | — | ~772 | Automated safety check: Pass | CC0-1.0 | |
| Furniture Fit Checkpascalorg/editor | 25k | — | ~5.1k | Automated safety check: Pass | MIT | |
| Fitness Programrevfactory/harness-100 | 1.3k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Fit Scoreraaron-he-zhu/aaron-marketing-skills | 2.9k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Business Name Fitalirezarezvani/claude-skills | 28k | — | ~2.8k | Automated safety check: Pass | MIT |
asgeirtj/system_prompts_leaks
Keep a Markdown table readable in a narrow terminal of about 100 display columns - a wide table or one carrying prose in its cells wraps into unreadable ragged rows.
pascalorg/editor
Checks whether a sofa, table, bed or appliance fits in a measured Pascal room and reports only what the evidence supports, or asks for the missing measurements.
revfactory/harness-100
A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates.
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "score this influencer", "rank these creators for our campaign", or "tell me which influencer is the best fit"; produces the typed STAR Suitability (S)…
alirezarezvani/claude-skills
Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into.
huifer/WellAlly-health
分析运动数据、识别运动模式、评估健身进展,并提供个性化训练建议。支持与慢性病数据的关联分析. An agent skill from huifer/WellAlly-health.
lazyFrogLOL/Harness_Engineering
Guide for analyzing chess positions from images and determining optimal moves.
lazyFrogLOL/Harness_Engineering
This skill provides guidance for cracking 7z archive password hashes.
lazyFrogLOL/Harness_Engineering
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.
lazyFrogLOL/Harness_Engineering
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lazyFrogLOL/Harness_Engineering
Decode and interpret text content from G-code files by analyzing toolpath geometry and coordinate patterns.
lazyFrogLOL/Harness_Engineering
Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints.
This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene. Raman Fitting is an agent skill from lazyFrogLOL/Harness_Engineering. This skill provides guidance for fitting peaks in Raman spectroscopy data, particularly for materials like graphene.
Raman Fitting fits situations like: tasks involve Raman spectrum analysis; peak fitting (G peak; spectroscopic curve fitting using Lorentzian; voigt functions.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill raman-fitting -a claude-code`. Or copy the skill folder (skills/raman-fitting in lazyFrogLOL/Harness_Engineering) into .claude/skills/raman-fitting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lazyFrogLOL/Harness_Engineering --skill raman-fitting -a codex`. Or copy the skill folder (skills/raman-fitting in lazyFrogLOL/Harness_Engineering) into .agents/skills/raman-fitting in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill raman-fitting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/raman-fitting, .gemini/skills/raman-fitting, .github/skills/raman-fitting and .opencode/skills/raman-fitting in your project.
SKILL.md names no scripts, command-line tools or credentials: Raman Fitting is instructions for the agent only. Our summary lists: Python 3.
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.
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.
No licence was found for Raman Fitting or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Raman Fitting: Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars), Fitness Program (revfactory/harness-100, 1.3k stars) and Fit Scorer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.
Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.