No Explicit Any
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing TypeScript files for type safety regressions, during code review of functions that handle external data, or when the codebase has ESLint warnings for…
Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.
No licenceAuto-check passed
Install Prune
$ npx skills add TokenRollAI/llmdoc --skill prune -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TokenRollAI/llmdoc prune --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/TokenRollAI/llmdoc.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prune .claude/skills/prune && 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 "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .claude/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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/TokenRollAI/llmdoc/tree/main/skills/pruneType 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 TokenRollAI/llmdoc --skill prune -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TokenRollAI/llmdoc prune --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TokenRollAI/llmdoc.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prune .agents/skills/prune && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .agents/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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 TokenRollAI/llmdoc --skill prune -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TokenRollAI/llmdoc prune --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TokenRollAI/llmdoc.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prune .cursor/skills/prune && 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 "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .cursor/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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/TokenRollAI/llmdoc.git --path skills/prune--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 TokenRollAI/llmdoc --skill prune -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TokenRollAI/llmdoc prune --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TokenRollAI/llmdoc.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prune .gemini/skills/prune && 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 "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .gemini/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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 TokenRollAI/llmdoc pruneInstalls 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 TokenRollAI/llmdoc --skill prune -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TokenRollAI/llmdoc.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prune .github/skills/prune && 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 "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .github/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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 TokenRollAI/llmdoc --skill prune -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TokenRollAI/llmdoc prune --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TokenRollAI/llmdoc.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prune .opencode/skills/prune && 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 "prune" agent skill from https://github.com/TokenRollAI/llmdoc/tree/main/skills/prune into .opencode/skills/prune/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prune", 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
prune- GitHub stars
- 483
- Token cost
- ~1.2k tokens
- SKILL.md length
- 609 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.
- Works in 3 steps: Run prune --report. → Decide the convergence plan with recorder. → Re-validate the result.
- SKILL.md covers Authorization, Preconditions, Workflow and State Invariants, plus 1 more section
- Calls git and npx
What it does
Prune is an agent skill from TokenRollAI/llmdoc. Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: TokenRoll LLMDoc for Coding Agent.
Example prompts
- “/prune”
Requirements
- Node.js
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Run prune --report.
- Decide the convergence plan with recorder.
- Re-validate the result.
What it can do on your machine
Read from SKILL.md and the folder at commit 4f3fb92. 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:
gitnpx
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 npx, 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
Prune loads about 1.2k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 609 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 609 words (~1,226 tokens).
“Use this command only when existing llmdoc/ knowledge needs convergence after growth, duplication, fragmentation, or accumulation of reconstructable implementation inventory.”
- name
- prune
- argument-hint
- [--scope <topic|path...>] [summary]
Files
Just SKILL.md in skills/prune of TokenRollAI/llmdoc.
Open the folder on GitHubat commit 4f3fb92
Compare with similar skills
Prune 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 |
|---|---|---|---|---|---|---|
| Prune this skillTokenRollAI/llmdoc | 483 | — | ~1.2k | Automated safety check: Pass | None | |
| No Explicit Anythedaviddias/Front-End-Checklist | 74k | — | ~565 | Automated safety check: Pass | MIT | |
| Duplicate JSthedaviddias/Front-End-Checklist | 74k | — | ~423 | Automated safety check: Pass | MIT | |
| Remove AI Slopscode-yeongyu/oh-my-openagent | 70k | — | ~5.3k | Automated safety check: Pass | Custom licence | |
| Convergenceparcadei/Continuous-Claude-v3 | 3.9k | 2 repos | ~316 | Automated safety check: Notes | MIT | |
| Dead Code Removercode-yeongyu/oh-my-openagent | 70k | — | ~1.8k | Automated safety check: Pass | Custom licence |
Similar skills
Duplicate JS
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Remove duplicate JavaScript libraries.
Remove AI Slops
code-yeongyu/oh-my-openagent
Removes AI-generated code smells from branch changes or an explicit file list behind regression tests.
Convergence
parcadei/Continuous-Claude-v3
Problem-solving strategies for convergence in real analysis. An agent skill from parcadei/Continuous-Claude-v3.
Dead Code Remover
code-yeongyu/oh-my-openagent
Finds unused code in a TypeScript project, confirms each candidate has no references through the language server, then hands removals to parallel agents.
Remove Bg Automation
ComposioHQ/awesome-claude-skills
Automate Remove Bg tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
More from TokenRollAI/llmdoc
Llmdoc
TokenRollAI/llmdoc
Default V3 operating skill for llmdoc-enabled projects. An agent skill from TokenRollAI/llmdoc.
Init
TokenRollAI/llmdoc
Explicit V3 bootstrap for repositories that do not already have valid llmdoc knowledge.
Update
TokenRollAI/llmdoc
Explicit V3 semantic verification and sync of existing llmdoc knowledge against the current repository.
Upgrade
TokenRollAI/llmdoc
Explicit V2 to V3 migration surface. An agent skill from TokenRollAI/llmdoc.
Questions about Prune
What does Prune do?
Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content. Prune is an agent skill from TokenRollAI/llmdoc. Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.
How do I install Prune in Claude Code?
Run `npx skills add TokenRollAI/llmdoc --skill prune -a claude-code`. Or copy the skill folder (skills/prune in TokenRollAI/llmdoc) into .claude/skills/prune in your project. Claude Code loads it when a task matches its description.
How do I install Prune in Codex?
Run `npx skills add TokenRollAI/llmdoc --skill prune -a codex`. Or copy the skill folder (skills/prune in TokenRollAI/llmdoc) into .agents/skills/prune in your project. Codex loads it when a task matches its description.
Can I use Prune 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 TokenRollAI/llmdoc --skill prune -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prune, .gemini/skills/prune, .github/skills/prune and .opencode/skills/prune in your project.
What does Prune need to run?
Going by SKILL.md and its folder, Prune needs the command-line tools its instructions call (git and npx). Our summary lists: Node.js.
Does Prune access the network?
SKILL.md contains no URLs. Its commands use git and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Prune 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 Prune use?
No licence was found for Prune or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Prune use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 Prune?
Skills that share tags, products or a category with Prune: No Explicit Any (thedaviddias/Front-End-Checklist, 74k stars), Duplicate JS (thedaviddias/Front-End-Checklist, 74k stars), Remove AI Slops (code-yeongyu/oh-my-openagent, 70k stars) and Convergence (parcadei/Continuous-Claude-v3, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prune?
TokenRollAI (a GitHub organization) maintains it in TokenRollAI/llmdoc, which has 483 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 3, 2026.
Source: TokenRollAI/llmdoc on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.