Agent skill

Hep Search

by agentlas-ai in agentlas-ai/Agentlas-OS

Search Agentlas Cloud and Hub agent candidates without invoking.

Apache-2.0Auto-check passedAgent Workflows

Install Hep Search

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a claude-code

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

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search --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/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/kimi/skills/hep-search .claude/skills/hep-search && 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/

Paste into Claude Code

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .claude/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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

$skill-installer install https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search

Type 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.

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/kimi/skills/hep-search .agents/skills/hep-search && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .agents/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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.

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/kimi/skills/hep-search .cursor/skills/hep-search && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .cursor/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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

$ gemini skills install https://github.com/agentlas-ai/Agentlas-OS.git --path kimi/skills/hep-search

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/kimi/skills/hep-search .gemini/skills/hep-search && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .gemini/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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.

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search

Installs 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).

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .github/skills && cp -r skills-src/kimi/skills/hep-search .github/skills/hep-search && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .github/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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.

skills CLI

$ npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install agentlas-ai/Agentlas-OS hep-search --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/kimi/skills/hep-search .opencode/skills/hep-search && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "hep-search" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-search into .opencode/skills/hep-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-search", 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: hep-search
GitHub stars: 1.6k
Token cost: ~635 tokens
SKILL.md length: 191 words
Files: 1
Skills in repo: 53
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Search Agentlas Cloud and Hub agent candidates without invoking.

Works in 4 steps: Show sections.cloud.results first, then… → For each candidate include rank, name,… → Do not invoke any agent. If the user… → …
Agent Workflows work in your project
SKILL.md covers How to run, Answer shape and Examples
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hep Search is an agent skill from agentlas-ai/Agentlas-OS. Search Agentlas Cloud and Hub agent candidates without invoking.

Its SKILL.md is about 640 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 Agent Workflows. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.

When your agent uses it

Agent Workflows work in your project

Example prompts

“/hep-search”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Show sections.cloud.results first, then sections.hub.results.
For each candidate include rank, name, slug, description, callable/routing
Do not invoke any agent. If the user wants to run exact agents next, use
Include receipt_id in the final line.

What it can do on your machine

Read from SKILL.md and the folder at commit dd3cd3a. 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 bash).
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

Hep Search loads about 635 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 191 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~19
When it runs · the whole SKILL.md, loaded when a task matches: ~635

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

The full file from agentlas-ai/Agentlas-OS at commit dd3cd3a, republished under its Apache-2.0 licence (© agentlas-ai). 191 words, ~635 tokens.

Download SKILL.mdSave it as .claude/skills/hep-search/SKILL.md (or your agent's skills folder).

name: hep-search
description: Search Agentlas Cloud and Hub agent candidates without invoking.

Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

/hep-search

Find matching agents without calling them. Return two sections: my Agentlas Cloud packages first, then the public Agentlas Hub.

The request is the exact text the user typed after /hep-search.

How to run

Run the shell block below verbatim, replacing only the REQUEST value. The runner is resolved by absolute path — nothing to install, nothing to add to PATH.

Guardrails: do NOT diagnose command not found/PATH, do NOT edit ~/.zshrc, and do NOT create/commit/stash/push any git branch or claim you did. This workflow changes no source files and invokes no agent. If the runner is missing, say so and stop — never fabricate results.

bash

REQUEST="<replace with the exact text the user typed after /hep-search>"

case "$REQUEST" in
  "<replace"*) echo "REQUEST placeholder not filled — substitute the user's request first." >&2; exit 2 ;;
esac

RUNNER=""
for candidate in \
  "$HOME/.agentlas/runtime/current/bin/hephaestus" \
  "./bin/hephaestus"
do
  if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
if [ -z "$RUNNER" ]; then
  for cache in "$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
               "${CODEX_HOME:-$HOME/.codex}/plugins/cache/agentlas-core-engine/hephaestus"; do
    newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
    if [ -n "$newest" ] && [ -x "$newest" ]; then RUNNER="$newest"; break; fi
  done
fi
[ -n "$RUNNER" ] || { echo "Hephaestus runtime not found. Run the installer first." >&2; exit 1; }
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
  "$RUNNER" auth ensure >/dev/null 2>&1 || true
fi
"$RUNNER" search "$REQUEST" --runtime "${AGENTLAS_HOST_RUNTIME:-terminal}" --limit 10

Answer shape

Show sections.cloud.results first, then sections.hub.results.
For each candidate include rank, name, slug, description, callable/routing status, and why it matched.
Do not invoke any agent. If the user wants to run exact agents next, use /hep-call agent-slug-1, agent-slug-2 {context}.
Include receipt_id in the final line.

Examples

text

/hep-search 시장 리포트 써야 하는데 쓸만한 에이전트 찾아줘
/hep-search find agents for ASO review replies

Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.

Files

Just SKILL.md in kimi/skills/hep-search of agentlas-ai/Agentlas-OS.

Open the folder on GitHubat commit dd3cd3a

Compare with similar skills

Hep Search 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.

Hep Search compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Hep Search this skillagentlas-ai/Agentlas-OS	1.6k	—	~635	Automated safety check: Pass	Apache-2.0	today
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	today
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official	38k	10 repos	~4.1k	Automated safety check: Notes	Apache-2.0	today
Using Superpowersfarm-fe/farm	5.6k	35 repos	~1.4k	Automated safety check: Pass	MIT	18 days ago
Executing Plans Inlineobra/superpowers	297k	2 repos	~5.1k	Automated safety check: Pass	MIT	today
Skill CreatorAzure/azqr	796	89 repos	~8.2k	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Hep Search

What does Hep Search do?

Search Agentlas Cloud and Hub agent candidates without invoking. Hep Search is an agent skill from agentlas-ai/Agentlas-OS. Search Agentlas Cloud and Hub agent candidates without invoking.

When should I use Hep Search?

Hep Search fits situations like: agent Workflows work in your project.

How do I install Hep Search in Claude Code?

Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a claude-code`. Or copy the skill folder (kimi/skills/hep-search in agentlas-ai/Agentlas-OS) into .claude/skills/hep-search in your project. Claude Code loads it when a task matches its description.

How do I install Hep Search in Codex?

Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-search -a codex`. Or copy the skill folder (kimi/skills/hep-search in agentlas-ai/Agentlas-OS) into .agents/skills/hep-search in your project. Codex loads it when a task matches its description.

Can I use Hep Search 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 agentlas-ai/Agentlas-OS --skill hep-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hep-search, .gemini/skills/hep-search, .github/skills/hep-search and .opencode/skills/hep-search in your project.

What does Hep Search need to run?

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

Does Hep Search 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 Hep Search 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 Hep Search use?

Hep Search is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hep Search use?

About 635 tokens (SKILL.md is roughly 2.5k 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 Hep Search?

Skills that share tags, products or a category with Hep Search: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hep Search?

agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,575 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 10, 2026.

Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Hep Search

Install Hep Search

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

/hep-search

How to run

Answer shape

Examples

Files

Compare with similar skills

Similar skills

MCP Server Builder

Hook Development for Claude Code Plugins

Using Superpowers

Executing Plans Inline

Skill Creator

Claude Code Agent Development

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Questions about Hep Search

Install Hep Search

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

/hep-search

How to run

Answer shape

Examples

Files

Compare with similar skills

Similar skills

More from agentlas-ai/Agentlas-OS

Related

Questions about Hep Search