MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Staff a task only from Agentlas agents registered on this machine.
Install Hep Local
$ npx skills add agentlas-ai/Agentlas-OS --skill hep-local -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-local --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/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/kimi/skills/hep-local .claude/skills/hep-local && 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 "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .claude/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-localType 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 agentlas-ai/Agentlas-OS --skill hep-local -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-local --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-local .agents/skills/hep-local && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .agents/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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 agentlas-ai/Agentlas-OS --skill hep-local -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-local --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-local .cursor/skills/hep-local && 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 "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .cursor/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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/agentlas-ai/Agentlas-OS.git --path kimi/skills/hep-local--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 agentlas-ai/Agentlas-OS --skill hep-local -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-local --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-local .gemini/skills/hep-local && 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 "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .gemini/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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 agentlas-ai/Agentlas-OS hep-localInstalls 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 agentlas-ai/Agentlas-OS --skill hep-local -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-local .github/skills/hep-local && 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 "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .github/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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 agentlas-ai/Agentlas-OS --skill hep-local -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-local --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-local .opencode/skills/hep-local && 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 "hep-local" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-local into .opencode/skills/hep-local/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-local", 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-local- GitHub stars
- 1.6k
- Token cost
- ~607 tokens
- SKILL.md length
- 306 words
- Files
- 1
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Staff a task only from Agentlas agents registered on this machine.
- Works in 5 steps: Author a redacted… → Call workforce.search_candidates with → Author the final… → …
- Agent Workflows work in your project
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Hep Local is an agent skill from agentlas-ai/Agentlas-OS. Staff a task only from Agentlas agents registered on this machine.
Its SKILL.md is about 610 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-local”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Author a redacted agentlas.workforce-work-order.v1; private project
- Call workforce.search_candidates with
- Author the final agentlas.workforce-selection.v1 as the active host LLM,
- Call workforce.prepare_execution with
- Execute distinct planner/manager, worker, synthesis, and verifier calls with
What it can do on your machine
Read from SKILL.md and the folder at commit 6254906. 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
Hep Local loads about 607 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 306 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
The full file from agentlas-ai/Agentlas-OS at commit 6254906, republished under its Apache-2.0 licence (© agentlas-ai). 306 words, ~607 tokens.
Download SKILL.mdSave it as
.claude/skills/hep-local/SKILL.md (or your agent's skills folder).- name
- hep-local
- description
- Staff a task only from Agentlas agents registered on this machine.
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
/hep-local
Raw request: $ARGUMENTS
Act as the temporary top-level workforce orchestrator. Use the local Agentlas
OS MCP server hephaestus-network and call the Workforce tools with exact
sourceScope: "local". Before every unpinned discovery, Core refreshes the
current safe snapshot for each active registered Local source, creating a new
release when the source folder changed. This command searches only that
registered Local inventory; it must not add owner Cloud or public Hub
candidates. A prepared or goal-bound selection remains pinned to its exact
release. network reindex rebuilds the card cache but is not the release
refresh mechanism, and a new source still requires explicit registration.
- Author a redacted
agentlas.workforce-work-order.v1; private project grounding stays on-host. - Call
workforce.search_candidateswith{workOrder, sourceScope: "local"}and keep the complete response asfederationResult, including its local registry receipt and the projected menu'sselectionSessionId. Do not echo the projected menu back asfederationResult— Core resolves the complete federation state locally from that session. - Author the final
agentlas.workforce-selection.v1as the active host LLM, then callworkforce.validate_selectionwith{workOrder, selection}and keep the response asfederatedSelection. Revise on rejection; do not accept a deterministic picker or unrelated fallback. - Call
workforce.prepare_executionwith{workOrder, selection, federatedSelection, projectDir}. Require every selected row to remain pinned to sourcelocal, exact package/content identity, runtime bundle, permission policy, and context digest. - Execute distinct planner/manager, worker, synthesis, and verifier calls with explicit artifact handoffs. Preserve packaged Team graphs.
If the local Core MCP or registered inventory is unavailable, report
source_unavailable; do not silently search Cloud or Hub. A prepared roster is
not proof of execution.
For a partial or failed result, report each source receipt's exact
failureCode. Never collapse several receipts into one, substitute a different
code, or relabel the outcome.
© agentlas-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in kimi/skills/hep-local of agentlas-ai/Agentlas-OS.
Open the folder on GitHubat commit 6254906
Compare with similar skills
Hep Local 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 |
|---|---|---|---|---|---|---|
| Hep Local this skillagentlas-ai/Agentlas-OS | 1.6k | — | ~607 | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 795 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Using Superpowers
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Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
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A skill your agent uses when the user types /prompts:hep-build or /agentlas-build, mentions @Hephaestus for build work, asks to create a single Agentlas agent, create a multi-agent team, or package…
Hephaestus Graph
agentlas-ai/Agentlas-OS
A skill your agent uses when the user types /hep-graph or asks to create, list, inspect, or request a run of an Agentlas automation graph.
Hephaestus Upload
agentlas-ai/Agentlas-OS
A skill your agent uses when the user types $hephaestus-upload, /hep-upload, or /agentlas-upload, or asks to upload, publish, or list an Agentlas agent or team.
Routing Card Authoring
agentlas-ai/Agentlas-OS
A skill your agent uses whenever a build emits or repairs .agentlas/routing-card.json — the shared card contract for the single-agent builder, the team builder, and the packager.
Team Builder Packaging
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A skill your agent uses when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers, eval, QA, handoffs, and runtime adapters.
Related
Categories
Questions about Hep Local
What does Hep Local do?
Staff a task only from Agentlas agents registered on this machine. Hep Local is an agent skill from agentlas-ai/Agentlas-OS. Staff a task only from Agentlas agents registered on this machine.
When should I use Hep Local?
Hep Local fits situations like: agent Workflows work in your project.
How do I install Hep Local in Claude Code?
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-local -a claude-code`. Or copy the skill folder (kimi/skills/hep-local in agentlas-ai/Agentlas-OS) into .claude/skills/hep-local in your project. Claude Code loads it when a task matches its description.
How do I install Hep Local in Codex?
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-local -a codex`. Or copy the skill folder (kimi/skills/hep-local in agentlas-ai/Agentlas-OS) into .agents/skills/hep-local in your project. Codex loads it when a task matches its description.
Can I use Hep Local 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-local -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-local, .gemini/skills/hep-local, .github/skills/hep-local and .opencode/skills/hep-local in your project.
What does Hep Local need to run?
SKILL.md names no scripts, command-line tools or credentials: Hep Local is instructions for the agent only.
Does Hep Local 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 Local 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 Local use?
Hep Local 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 Local use?
About 607 tokens (SKILL.md is roughly 2.4k 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 Local?
Skills that share tags, products or a category with Hep Local: 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 Local?
agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,582 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 8, 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.