Tg Bot Ops
serejaris/personal-corp-os
A skill your agent uses when operating, debugging, deploying, or monitoring a Telegram bot or Telegram-to-agent gateway.
Run, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes.
$ npx skills add openclaw/openclaw --skill openclaw-qa-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/openclaw openclaw-qa-testing --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/openclaw/openclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .claude/skills/openclaw-qa-testing && 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 "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .claude/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testingType 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 openclaw/openclaw --skill openclaw-qa-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/openclaw openclaw-qa-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .agents/skills/openclaw-qa-testing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .agents/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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 openclaw/openclaw --skill openclaw-qa-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/openclaw openclaw-qa-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .cursor/skills/openclaw-qa-testing && 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 "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .cursor/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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/openclaw/openclaw.git --path .agents/skills/openclaw-qa-testing--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 openclaw/openclaw --skill openclaw-qa-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/openclaw openclaw-qa-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .gemini/skills/openclaw-qa-testing && 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 "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .gemini/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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 openclaw/openclaw openclaw-qa-testingInstalls 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 openclaw/openclaw --skill openclaw-qa-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .github/skills/openclaw-qa-testing && 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 "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .github/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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 openclaw/openclaw --skill openclaw-qa-testing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/openclaw openclaw-qa-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/openclaw-qa-testing .opencode/skills/openclaw-qa-testing && 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 "openclaw-qa-testing" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-qa-testing into .opencode/skills/openclaw-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-qa-testing", 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.
openclaw-qa-testingRun, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes.
Openclaw QA Testing is an agent skill from openclaw/openclaw. Run, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Testing & QA, covering QA and bug reports. It works with OpenTelemetry and Telegram. The repository describes itself as: The AI that really does things. Any OS. Any Platform. The lobster way. 🦞. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1eb5970. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKENOPENCLAW_QA_TELEGRAM_SUT_BOT_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Openclaw QA Testing loads about 2.9k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 1,258 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.
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.
The full file from openclaw/openclaw at commit 1eb5970, republished under its MIT licence (© openclaw). 1,258 words, ~2,903 tokens.
.claude/skills/openclaw-qa-testing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill for qa-lab / qa-channel work. Repo-local QA only.
docs/concepts/qa-e2e-automation.mddocs/help/testing.mddocs/channels/qa-channel.mdqa/README.mdqa/scenarios/index.yamlextensions/qa-lab/src/suite.tsextensions/qa-lab/src/character-eval.ts--model, --alt-model, or --fast by default. Omitted
--fast does not mean fast is disabled; fast behavior is source-owned.execution.summary is authoritative
and overrides generic default guidance, including when it requires other
flags. Add explicit provider/model pins only when
execution.config.requiredProvider or requiredModel requires them.mock-openailive-frontierpnpm openclaw qa suite \
--provider-mode live-frontier \
--output-dir .artifacts/qa-e2e/run-all-live-frontier-<tag>.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-summary.json.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-report.mdopenclaw-qa listen port and report http://127.0.0.1:<port>.For local QA-lab OpenTelemetry validation, use:
pnpm qa:otel:smokeThis starts a local OTLP/HTTP trace receiver, runs the otel-trace-smoke
scenario through qa-channel, decodes the emitted protobuf spans, and verifies
the exported trace names and privacy contract. It does not require Opik,
Langfuse, or external collector credentials.
op only inside tmux for QA secret lookup in this repo.op account listOpenClawTelegram E2EOPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKENOPENCLAW_QA_TELEGRAM_SUT_BOT_TOKENOPENCLAW_QA_PROVIDER_MODEOPENCLAW_NPM_TELEGRAM_PACKAGE_SPECOpenClawOPENCLAW_QA_CONVEX_SITE_URLOPENCLAW_QA_CONVEX_SECRET_MAINTAINEROPENCLAW_QA_CONVEX_SECRET_CIPrivateOPENCLAW QA, Convex, TelegramOPENCLAW_QA_TELEGRAM_GROUP_ID may be stored separately from Telegram E2EOPENCLAW_QA_TELEGRAM_GROUP_IDOpenClaw/OPENCLAW_QA_CONVEX_SITE_URL; if that is stale or unclear, ask for the active pool URL before runningOPENCLAW_QA_TELEGRAM_GROUP_ID="..." \
OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKEN="..." \
OPENCLAW_QA_TELEGRAM_SUT_BOT_TOKEN="..." \
OPENCLAW_QA_PROVIDER_MODE="mock-openai" \
OPENCLAW_NPM_TELEGRAM_PACKAGE_SPEC="openclaw@beta" \
pnpm test:docker:npm-telegram-livescripts/e2e/npm-telegram-live-runner.ts reads OPENCLAW_NPM_TELEGRAM_PROVIDER_MODEOPENCLAW_QA_PROVIDER_MODE is consumed by that wrapperOPENCLAW_QA_PROVIDER_MODE, map it explicitly to OPENCLAW_NPM_TELEGRAM_PROVIDER_MODE before running the Docker lanepnpm test:docker:npm-telegram-live passed with:OPENCLAW_QA_CREDENTIAL_SOURCE=convexOPENCLAW_QA_CREDENTIAL_ROLE=maintainerOPENCLAW_QA_CONVEX_SITE_URLOPENCLAW_QA_CONVEX_SECRET_MAINTAINEROPENCLAW_NPM_TELEGRAM_PROVIDER_MODE=mock-openaiop signin blocks, prefer dispatching the manual GitHub lane because the qa-live-shared environment already has Convex CI credentials:gh workflow run "NPM Telegram Beta E2E" --repo openclaw/openclaw --ref main \
-f package_spec=openclaw@YYYY.M.D-beta.N \
-f package_label=openclaw@YYYY.M.D-beta.N \
-f provider_mode=mock-openaigh run view --json artifacts is not supported; list artifacts with:gh api repos/openclaw/openclaw/actions/runs/<run-id>/artifactsUse this when setting up or replacing Convex kind=whatsapp credentials.
groupJid; otherwise the group mention-gating scenario should be skipped by default and fail when explicitly requested..tgz payload fields and add a new active Convex credential row. Prefer adding a fresh row and disabling stale/broken rows over overwriting credentials in place.driverPhoneE164, sutPhoneE164, driverAuthArchiveBase64, sutAuthArchiveBase64, and optional groupJid.pnpm openclaw qa whatsapp --credential-source convex --credential-role maintainer --provider-mode mock-openai and preserve artifact paths plus redacted pass/fail summaries.Use qa character-eval for style/persona/vibe checks across multiple live models.
pnpm openclaw qa character-eval \
--output-dir .artifacts/qa-e2e/character-eval-<tag>pnpm build omits QA Lab + qa-channel by design (source-checkout
only). To exercise openclaw qa/qa-channel from a built dist, build with
OPENCLAW_BUILD_PRIVATE_QA=1 pnpm build (emits dist/plugin-sdk/qa-lab.js,
qa-runtime.js, dist/extensions/{qa-lab,qa-channel}) or run via pnpm dev.--model provider/model,thinking=<level>[,fast|,no-fast|,fast=<bool>]
or --judge-model ... only to replace the corresponding inventory explicitly.--model-thinking; keep that flag as legacy compatibility only.--concurrency <n> and --judge-concurrency <n> to override when local gateways or provider limits need a gentler lane.qa/scenarios/: use index.yaml and
per-scenario *.yaml files with top-level title, scenario, and optional
flow. Never add fenced qa-scenario / qa-flow Markdown files.SOUL.md and blank IDENTITY.md in the scenario flow. Use SOUL.md + IDENTITY.md only when intentionally testing how the normal OpenClaw identity combines with the character.SOUL.md, then normal user turns such as chat, workspace help, and small file tasks; do not ask "how would you react?" or tell the model it is in an eval.Use model refs shaped like codex-cli/<codex-model> whenever QA should exercise Codex as a model backend.
Examples:
pnpm openclaw qa suite \
--provider-mode live-frontier \
--model codex-cli/<codex-model> \
--alt-model codex-cli/<codex-model> \
--scenario <scenario-id> \
--output-dir .artifacts/qa-e2e/codex-<tag>pnpm openclaw qa manual \
--model codex-cli/<codex-model> \
--message "Reply exactly: CODEX_OK"CODEX_HOME so Codex CLI auth/config works while keeping HOME and OPENCLAW_HOME sandboxed.CODEX_HOME.CODEX_HOME,
relevant secret-backed auth, and gateway child logs before changing
scenario assertions.codex-cli/<codex-model> as another candidate in qa character-eval; the report should label it as an opaque model name.qa/scenarios/index.yaml and
qa/scenarios/<theme>/*.yaml.extensions/qa-lab/src/suite.tsextensions/qa-lab/src/lab-server.tsextensions/qa-lab/src/gateway-child.tsextensions/qa-channel/extensions/qa-lab/src/suite.tsrepo/... inside seeded workspaceqa/scenarios/; do not add .md scenario
files or fenced YAML blocks.qa/scenarios/index.yaml alignedextensions/qa-lab/src/suite.ts.artifacts/qa-e2e/© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in .agents/skills/openclaw-qa-testing of openclaw/openclaw.
Open the folder on GitHubat commit 1eb5970
Openclaw QA Testing 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 |
|---|---|---|---|---|---|---|
| Openclaw QA Testing this skillopenclaw/openclaw | 392k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Tg Bot Opsserejaris/personal-corp-os | 229 | — | ~1.6k | Automated safety check: Notes | MIT | |
| Deploying Scalable Agentsmicrosoft/ai-agents-for-beginners | 77k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deploying Scalable Agentsmicrosoft/ai-agents-for-beginners | 77k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Dogfood Exploratory QAvercel-labs/agent-browser | 44k | 8 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Codex Plugin QAcode-yeongyu/oh-my-openagent | 70k | 1 repos | ~1.9k | Automated safety check: Pass | Custom licence |
serejaris/personal-corp-os
A skill your agent uses when operating, debugging, deploying, or monitoring a Telegram bot or Telegram-to-agent gateway.
microsoft/ai-agents-for-beginners
Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry.
microsoft/ai-agents-for-beginners
Take one working agent prototype go scalable, observable production deployment for Microsoft Foundry.
vercel-labs/agent-browser
Explores a web app with the agent-browser CLI to find bugs and UX problems, then writes a report with screenshots, repro videos and step-by-step reproduction for each issue.
code-yeongyu/oh-my-openagent
Tests the omo Codex plugin in an isolated CODEX_HOME with a local mock model, proving hooks fired through app-server notifications without touching ~/.codex.
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
openclaw/openclaw
Control tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
openclaw/openclaw
Review, triage, repair, or land OpenClaw issues and pull requests with current-source evidence and the native maintainer workflow.
openclaw/openclaw
A skill your agent uses when controlling web pages with the OpenClaw browser tool, especially multi-step flows, login checks, tab management, or recovery from stale refs/timeouts.
openclaw/openclaw
A skill your agent uses for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed…
Works with
Categories
Run, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes. Openclaw QA Testing is an agent skill from openclaw/openclaw. Run, watch, debug, extend, or explain OpenClaw qa-lab and qa-channel scenarios, artifacts, and live lanes.
Openclaw QA Testing fits situations like: tasks that involve QA and bug reports.
Run `npx skills add openclaw/openclaw --skill openclaw-qa-testing -a claude-code`. Or copy the skill folder (.agents/skills/openclaw-qa-testing in openclaw/openclaw) into .claude/skills/openclaw-qa-testing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openclaw/openclaw --skill openclaw-qa-testing -a codex`. Or copy the skill folder (.agents/skills/openclaw-qa-testing in openclaw/openclaw) into .agents/skills/openclaw-qa-testing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/openclaw --skill openclaw-qa-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openclaw-qa-testing, .gemini/skills/openclaw-qa-testing, .github/skills/openclaw-qa-testing and .opencode/skills/openclaw-qa-testing in your project.
Going by SKILL.md and its folder, Openclaw QA Testing needs the command-line tools its instructions call (pnpm and gh) and credentials named OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKEN and OPENCLAW_QA_TELEGRAM_SUT_BOT_TOKEN. Our summary lists: Docker; A credential in OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKEN; A credential in OPENCLAW_QA_TELEGRAM_SUT_BOT_TOKEN.
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Openclaw QA Testing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Openclaw QA Testing: Tg Bot Ops (serejaris/personal-corp-os, 229 stars), Deploying Scalable Agents (microsoft/ai-agents-for-beginners, 77k stars), Deploying Scalable Agents (microsoft/ai-agents-for-beginners, 77k stars) and Dogfood Exploratory QA (vercel-labs/agent-browser, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openclaw (a GitHub organization) maintains it in openclaw/openclaw, which has 391,610 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 8, 2026.
Source: openclaw/openclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.