Team Tasks
win4r/team-tasks
Coordinate multi-agent development pipelines using shared JSON task files.
Connect Agentlas agents or teams to Telegram. An agent skill from agentlas-ai/Agentlas-OS.
Install Hep Connect
$ npx skills add agentlas-ai/Agentlas-OS --skill hep-connect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-connect --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-connect .claude/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .claude/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connectType 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-connect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-connect --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-connect .agents/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .agents/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-connect --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-connect .cursor/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .cursor/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connect--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-connect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-connect --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-connect .gemini/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .gemini/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connectInstalls 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-connect -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-connect .github/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .github/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connect -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-connect --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-connect .opencode/skills/hep-connect && 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-connect" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-connect into .opencode/skills/hep-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-connect", 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-connect- GitHub stars
- 1.6k
- Token cost
- ~378 tokens
- SKILL.md length
- 229 words
- Files
- 1
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Connect Agentlas agents or teams to Telegram. An agent skill from agentlas-ai/Agentlas-OS.
- Works in 5 steps: Start with Telegram only. → Do not ask for a BotFather token in… → Prefer the Agentlas Desktop Connect… → …
- Agent Workflows work in your project
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Hep Connect is an agent skill from agentlas-ai/Agentlas-OS. Connect Agentlas agents or teams to Telegram.
Its SKILL.md is about 380 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. It works with Telegram. 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-connect”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Start with Telegram only.
- Do not ask for a BotFather token in chat. Save it only through a
- Prefer the Agentlas Desktop Connect surface at /connect; it lists saved
- Explain the setup in simple words
- Session state belongs to the Telegram chat binding. Team, org, and saved
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.
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 Connect loads about 378 tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 229 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 dd3cd3a, republished under its Apache-2.0 licence (© agentlas-ai). 229 words, ~378 tokens.
Download SKILL.mdSave it as
.claude/skills/hep-connect/SKILL.md (or your agent's skills folder).- name
- hep-connect
- description
- Connect Agentlas agents or teams to Telegram.
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Hephaestus Connect
Raw arguments: $ARGUMENTS
Use this prompt when the operator wants Telegram to talk to one Agentlas target:
a single agent, a saved group, a local team, or a .agentlas org chart.
Current product contract:
- Start with Telegram only.
- Do not ask for a BotFather token in chat. Save it only through a runtime-owned secret store.
- Prefer the Agentlas Desktop Connect surface at
/connect; it lists saved groups,.agentlasorg charts, local teams, team agents, and single agents. - Explain the setup in simple words:
- choose who should answer;
- make a Telegram bot in BotFather;
- save the token in the local secret store;
- pair one Telegram chat;
- send one test message;
- keep adding more chats as needed.
- Session state belongs to the Telegram chat binding. Team, org, and saved group bindings use one session per chat. Single-agent direct chats can keep one session per user.
If running inside Agentlas Desktop development, report that the Desktop route is
/connect and use the real local Connect UI as the source of truth. Do not
pretend that Telegram delivery is live until token validation, chat pairing, and
a test message pass.
Report progress as one ladder and never skip a rung:
Draft -> Token checked -> Chat paired -> Test passed -> Running.
© 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-connect of agentlas-ai/Agentlas-OS.
Open the folder on GitHubat commit dd3cd3a
Compare with similar skills
Hep Connect 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 Connect this skillagentlas-ai/Agentlas-OS | 1.6k | — | ~378 | Automated safety check: Pass | Apache-2.0 | |
| Team Taskswin4r/team-tasks | 446 | — | ~2.9k | Automated safety check: Pass | None | |
| Chat SDKdatabuddy-analytics/Databuddy | 1.2k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 | |
| Agenticmailagenticmail/agenticmail | 236 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Test Ocas Openclawpwrdrvr/openclaw-codex-app-server | 265 | — | ~4k | Automated safety check: Pass | MIT | |
| TelegramAIOSAI/AIPass | 288 | — | ~4.9k | Automated safety check: Pass | MIT |
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Configure Coddy
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Related
Works with
Categories
Questions about Hep Connect
What does Hep Connect do?
Connect Agentlas agents or teams to Telegram. An agent skill from agentlas-ai/Agentlas-OS. Hep Connect is an agent skill from agentlas-ai/Agentlas-OS. Connect Agentlas agents or teams to Telegram.
When should I use Hep Connect?
Hep Connect fits situations like: agent Workflows work in your project.
How do I install Hep Connect in Claude Code?
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-connect -a claude-code`. Or copy the skill folder (kimi/skills/hep-connect in agentlas-ai/Agentlas-OS) into .claude/skills/hep-connect in your project. Claude Code loads it when a task matches its description.
How do I install Hep Connect in Codex?
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-connect -a codex`. Or copy the skill folder (kimi/skills/hep-connect in agentlas-ai/Agentlas-OS) into .agents/skills/hep-connect in your project. Codex loads it when a task matches its description.
Can I use Hep Connect 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-connect -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-connect, .gemini/skills/hep-connect, .github/skills/hep-connect and .opencode/skills/hep-connect in your project.
What does Hep Connect need to run?
SKILL.md names no scripts, command-line tools or credentials: Hep Connect is instructions for the agent only.
Does Hep Connect 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 Connect 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 Connect use?
Hep Connect 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 Connect use?
About 378 tokens (SKILL.md is roughly 1.5k 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 Connect?
Skills that share tags, products or a category with Hep Connect: Team Tasks (win4r/team-tasks, 446 stars), Chat SDK (databuddy-analytics/Databuddy, 1.2k stars), Agenticmail (agenticmail/agenticmail, 236 stars) and Test Ocas Openclaw (pwrdrvr/openclaw-codex-app-server, 265 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hep Connect?
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.