Integration Webhooks
BuilderIO/agent-native
Cross-platform pattern for handling messaging integration webhooks (Slack, Telegram, WhatsApp, email, etc.) on serverless hosts.
Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility.
Install Telegram Native 8787
$ npx skills add vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vercel-labs/vercel-openclaw-archived telegram-native-8787 --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/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .claude/skills/telegram-native-8787 && 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 "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .claude/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787Type 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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vercel-labs/vercel-openclaw-archived telegram-native-8787 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .agents/skills/telegram-native-8787 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .agents/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vercel-labs/vercel-openclaw-archived telegram-native-8787 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .cursor/skills/telegram-native-8787 && 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 "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .cursor/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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/vercel-labs/vercel-openclaw-archived.git --path .agents/skills/telegram-native-8787--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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vercel-labs/vercel-openclaw-archived telegram-native-8787 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .gemini/skills/telegram-native-8787 && 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 "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .gemini/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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 vercel-labs/vercel-openclaw-archived telegram-native-8787Installs 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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .github/skills/telegram-native-8787 && 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 "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .github/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vercel-labs/vercel-openclaw-archived telegram-native-8787 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel-labs/vercel-openclaw-archived.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/telegram-native-8787 .opencode/skills/telegram-native-8787 && 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 "telegram-native-8787" agent skill from https://github.com/vercel-labs/vercel-openclaw-archived/tree/main/.agents/skills/telegram-native-8787 into .opencode/skills/telegram-native-8787/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telegram-native-8787", 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
telegram-native-8787- GitHub stars
- 117
- Token cost
- ~532 tokens
- SKILL.md length
- 166 words
- Files
- 1
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- MIT
At a glance
Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility.
- Tasks that involve Webhooks
- SKILL.md covers Files, Runtime Path, Parallel Lane Inputs To Consume and Special Checks
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Telegram Native 8787 is an agent skill from vercel-labs/vercel-openclaw-archived, published by the product's own GitHub organization. Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility.
Its SKILL.md is about 530 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 Backend & APIs, covering Webhooks. It works with Telegram and Vercel. The repository describes itself as: Deploy OpenClaw on Vercel. The licence is MIT.
When your agent uses it
- Tasks that involve Webhooks
Example prompts
- “/telegram-native-8787”
What it can do on your machine
Read from SKILL.md and the folder at commit d592f7b. 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
Telegram Native 8787 loads about 532 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 166 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 vercel-labs/vercel-openclaw-archived at commit d592f7b, republished under its MIT licence (© vercel-labs). 166 words, ~532 tokens.
Download SKILL.mdSave it as
.claude/skills/telegram-native-8787/SKILL.md (or your agent's skills folder).- name
- telegram-native-8787
- description
- Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility.
Telegram Native 8787
Use after channel-debug-core for Telegram issues.
Files
src/app/api/channels/telegram/webhook/route.tssrc/server/channels/telegram/**src/server/workflows/channels/drain-channel-workflow.tssrc/server/openclaw/config.tssrc/server/admin/why-not-ready.tssrc/app/api/channels/summary/route.ts
Runtime Path
Telegram update -> /api/channels/telegram/webhook -> secret header validation -> dedup -> fast path to sandbox port 8787 /telegram-webhook OR workflow -> local/public native handler probe -> OpenClaw Telegram provider -> Telegram user-visible replyParallel Lane Inputs To Consume
Before proposing a Telegram fix, consume:
- Vercel/app logs lane: accepted webhook, planner event, fast-path result, workflow handoff, requestId/deliveryId/update_id, and project targeting proof.
- Sandbox runtime lane: actual sandboxId, port 8787 listener, local/public
/telegram-webhookprobe, sanitized config haschannels.telegram, webhookSecret presence without value. - Workflow lane:
drainChannelWorkflowrun state and whether 8787 not-listening/ECONNREFUSED triggered reconciliation, with verified project targeting when.vercel/project.jsondiffers from the incident target. - Prior-fix comparison: webhookSecret flow, suspicious_empty_200, stale 8787 URL refresh, boot-message cleanup.
Special Checks
- Port 8787 is not port 3000.
- Native handler registered evidence is local/public probe behavior, especially local 401 on invalid secret.
- Fast, empty 200 is suspicious; do not call it accepted.
lastRestoreMetrics.telegramListenerReadyis evidence, not the whole truth.webhookSecretmust flow through config build, restore assets, dynamic resume files, and config hash.- Accepted forward does not prove a visible Telegram reply.
- Boot message send/update/delete behavior is user-visible evidence.
© vercel-labs, MIT. 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 .agents/skills/telegram-native-8787 of vercel-labs/vercel-openclaw-archived.
Open the folder on GitHubat commit d592f7b
Compare with similar skills
Telegram Native 8787 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 |
|---|---|---|---|---|---|---|
| Telegram Native 8787 this skillvercel-labs/vercel-openclaw-archived | 117 | — | ~532 | Automated safety check: Pass | MIT | |
| Integration WebhooksBuilderIO/agent-native | 7.1k | — | ~5.3k | Automated safety check: Pass | None | |
| Golivemikehasa/golive-skill | 1.2k | — | ~13k | Automated safety check: Notes | MIT | |
| Tlgrtlgrcli/tlgr | 193 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Frontmcp Channelsagentfront/frontmcp | 146 | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Telegram Development Guide2025Emma/vibe-coding-cn | 23k | 1 repos | ~3.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Telegram Native 8787
What does Telegram Native 8787 do?
Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility. Telegram Native 8787 is an agent skill from vercel-labs/vercel-openclaw-archived, published by the product's own GitHub organization. Telegram channel specialist workflow: debug /api/channels/telegram/webhook, native port 8787 /telegram-webhook, webhookSecret, boot cleanup, and post-accept reply visibility.
When should I use Telegram Native 8787?
Telegram Native 8787 fits situations like: tasks that involve Webhooks.
How do I install Telegram Native 8787 in Claude Code?
Run `npx skills add vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a claude-code`. Or copy the skill folder (.agents/skills/telegram-native-8787 in vercel-labs/vercel-openclaw-archived) into .claude/skills/telegram-native-8787 in your project. Claude Code loads it when a task matches its description.
How do I install Telegram Native 8787 in Codex?
Run `npx skills add vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a codex`. Or copy the skill folder (.agents/skills/telegram-native-8787 in vercel-labs/vercel-openclaw-archived) into .agents/skills/telegram-native-8787 in your project. Codex loads it when a task matches its description.
Can I use Telegram Native 8787 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 vercel-labs/vercel-openclaw-archived --skill telegram-native-8787 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/telegram-native-8787, .gemini/skills/telegram-native-8787, .github/skills/telegram-native-8787 and .opencode/skills/telegram-native-8787 in your project.
What does Telegram Native 8787 need to run?
SKILL.md names no scripts, command-line tools or credentials: Telegram Native 8787 is instructions for the agent only.
Does Telegram Native 8787 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 Telegram Native 8787 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 Telegram Native 8787 use?
Telegram Native 8787 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Telegram Native 8787 use?
About 532 tokens (SKILL.md is roughly 2.1k 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 Telegram Native 8787?
Skills that share tags, products or a category with Telegram Native 8787: Integration Webhooks (BuilderIO/agent-native, 7.1k stars), Golive (mikehasa/golive-skill, 1.2k stars), Tlgr (tlgrcli/tlgr, 193 stars) and Frontmcp Channels (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Telegram Native 8787?
vercel-labs (a GitHub organization, an official publisher) maintains it in vercel-labs/vercel-openclaw-archived, which has 117 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on May 15, 2026.
Source: vercel-labs/vercel-openclaw-archived on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.