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Agent skill

Ralph

by srid in srid/emanote

Iterative measurement-driven improvement loop. An agent skill from srid/emanote.

Custom licenceAuto-check passedTesting & QA

Install Ralph

skills CLI
$ npx skills add srid/emanote --skill ralph -a claude-code

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

GitHub CLI
$ gh skill install srid/emanote ralph --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/srid/emanote.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ralph .claude/skills/ralph && 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
ralph
GitHub stars
963
Token cost
~732 tokens
SKILL.md length
349 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Custom licence

At a glance

Iterative measurement-driven improvement loop. An agent skill from srid/emanote.

  • Works in 4 steps: Gather inputs → Setup → The loop → …
  • The user wants to systematically improve a metric through repeated cycles of profiling and targeted changes
  • SKILL.md covers 0. Gather inputs, 1. Setup, 2. The loop and 3. Wrap-up, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ralph is an agent skill from srid/emanote. Iterative measurement-driven improvement loop. Measure, profile, mutate, re-measure, commit. Works for performance, bundle size, complexity, test coverage — anything quantifiable. Use when the user wants to systematically improve a metric through repeated cycles of profiling and targeted changes.

Its SKILL.md is about 730 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 Testing & QA, covering Web performance and Test coverage. The repository describes itself as: Emanate a structured view of your plain-text notes.

When your agent uses it

  • The user wants to systematically improve a metric through repeated cycles of profiling and targeted changes
  • Tasks that involve Web performance
  • Tasks that involve Test coverage

Example prompts

  • “/ralph”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Gather inputs
  2. Setup
  3. The loop
  4. Wrap-up

What it can do on your machine

Read from SKILL.md and the folder at commit 9d01037. 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

Ralph loads about 732 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 349 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~732

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 349 words (~732 tokens).

“Iterative measurement-driven improvement loop. Each cycle: measure → profile → find biggest contributor → mutate → re-measure → commit only if improvement exceeds noise.”

— opening of SKILL.md by srid, Custom licence
name
ralph

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/ralph of srid/emanote.

Open the folder on GitHubat commit 9d01037

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in srid/emanote, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ralph 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.

Ralph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ralph this skillsrid/emanote963—~732Automated safety check: PassCustom licence
Requirementsrizsotto/Bear6.5k—~2kAutomated safety check: PassGPL-3.0
Crap Analysisardalis/RiverBooks1342 repos~3.4kAutomated safety check: PassNone
Code Coverages3s-project/s3s311—~789Automated safety check: PassApache-2.0
Project Statusbactopia/bactopia522—~787Automated safety check: PassMIT
Check Coverageldayton/Dippy243—~403Automated safety check: PassMIT

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Categories

Questions about Ralph

What does Ralph do?

Iterative measurement-driven improvement loop. An agent skill from srid/emanote. Ralph is an agent skill from srid/emanote. Iterative measurement-driven improvement loop.

When should I use Ralph?

Ralph fits situations like: the user wants to systematically improve a metric through repeated cycles of profiling and targeted changes; tasks that involve Web performance; tasks that involve Test coverage.

How do I install Ralph in Claude Code?

Run `npx skills add srid/emanote --skill ralph -a claude-code`. Or copy the skill folder (.agents/skills/ralph in srid/emanote) into .claude/skills/ralph in your project. Claude Code loads it when a task matches its description.

How do I install Ralph in Codex?

Run `npx skills add srid/emanote --skill ralph -a codex`. Or copy the skill folder (.agents/skills/ralph in srid/emanote) into .agents/skills/ralph in your project. Codex loads it when a task matches its description.

Can I use Ralph 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 srid/emanote --skill ralph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralph, .gemini/skills/ralph, .github/skills/ralph and .opencode/skills/ralph in your project.

What does Ralph need to run?

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

Does Ralph 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 Ralph 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 Ralph use?

Ralph 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 Ralph use?

About 732 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 Ralph?

Skills that share tags, products or a category with Ralph: Requirements (rizsotto/Bear, 6.5k stars), Crap Analysis (ardalis/RiverBooks, 134 stars), Code Coverage (s3s-project/s3s, 311 stars) and Project Status (bactopia/bactopia, 522 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ralph?

srid (a GitHub user) maintains it in srid/emanote, which has 963 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on July 26, 2026.

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