Testing Scope MCP
daydreamlive/scope
Test Daydream Scope through its stdio MCP server, including disconnected startup, connecttoscope, direct Python stdio client fallback, and lightweight smoke tests.
UI checks in the 1C thin client through QA MCP (1c-qa, qa / ui): session, observe → act → assert, platform behaviour, unknown outcomes, journal and verdicts.
$ npx skills add comol/ai_rules_1c --skill 1c-qa-testing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install comol/ai_rules_1c 1c-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/comol/ai_rules_1c.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/1c-qa-testing .claude/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .claude/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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/comol/ai_rules_1c/tree/main/content/skills/1c-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 comol/ai_rules_1c --skill 1c-qa-testing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install comol/ai_rules_1c 1c-qa-testing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .agents/skills && cp -r skills-src/content/skills/1c-qa-testing .agents/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .agents/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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 comol/ai_rules_1c --skill 1c-qa-testing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install comol/ai_rules_1c 1c-qa-testing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/content/skills/1c-qa-testing .cursor/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .cursor/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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/comol/ai_rules_1c.git --path content/skills/1c-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 comol/ai_rules_1c --skill 1c-qa-testing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install comol/ai_rules_1c 1c-qa-testing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/content/skills/1c-qa-testing .gemini/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .gemini/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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 comol/ai_rules_1c 1c-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 comol/ai_rules_1c --skill 1c-qa-testing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .github/skills && cp -r skills-src/content/skills/1c-qa-testing .github/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .github/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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 comol/ai_rules_1c --skill 1c-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 comol/ai_rules_1c 1c-qa-testing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/comol/ai_rules_1c.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/content/skills/1c-qa-testing .opencode/skills/1c-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 "1c-qa-testing" agent skill from https://github.com/comol/ai_rules_1c/tree/main/content/skills/1c-qa-testing into .opencode/skills/1c-qa-testing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "1c-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.
1c-qa-testingUI checks in the 1C thin client through QA MCP (1c-qa, qa / ui): session, observe → act → assert, platform behaviour, unknown outcomes, journal and verdicts.
1c QA Testing is an agent skill from comol/ai_rules_1c. UI checks in the 1C thin client through QA MCP (1c-qa, qa / ui): session, observe → act → assert, platform behaviour, unknown outcomes, journal and verdicts. Main UI route when connected and TOOLQA allows it; the web client is the fallback.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `docs/context-sources.md`, `docs/interaction-recipes.md` and `docs/platform-behaviour.md`).
It sits in Testing & QA, covering QA and bug reports and MCP servers. It works with Model Context Protocol. The repository describes itself as: Rules\skills\subagens for vibecoding in 1C(bsl).
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 709ecac. 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.
Ships 1 file in scripts/ (PowerShell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
1c QA Testing loads about 2.4k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 1,284 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,284 words (~2,377 tokens).
“QA MCP (connection 1c-qa) is the 1C test manager: it connects to a 1C test client (/TestClient) and drives its forms through the platform testing model — windows, fields, tables, commands, messages. It reads structured state, not pixels, so it…”
SKILL.md and 4 other files (scripts) in content/skills/1c-qa-testing of comol/ai_rules_1c.
Open the folder on GitHubat commit 709ecac
1c 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 |
|---|---|---|---|---|---|---|
| 1c QA Testing this skillcomol/ai_rules_1c | 480 | — | ~2.4k | Automated safety check: Pass | None | |
| Testing Scope MCPdaydreamlive/scope | 452 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Agentacct Workflowmikehasa/agentacct | 765 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Glance TestDebugBase/glance | 156 | — | ~827 | Automated safety check: Pass | MIT | |
| Windows QA EngineerCodeAlive-AI/ai-driven-development | 155 | — | ~1.4k | Automated safety check: Pass | MIT | |
| MCP Smoke TestSepineTam/mcp-for-stata | 263 | — | ~1.4k | Automated safety check: Pass | AGPL-3.0 |
daydreamlive/scope
Test Daydream Scope through its stdio MCP server, including disconnected startup, connecttoscope, direct Python stdio client fallback, and lightweight smoke tests.
mikehasa/agentacct
A skill your agent uses when working in a repo with agentacct MCP configured, or when asked to track coding-agent work, smoke-test agentacct integrations, or report objective AI-agent task evidence.
DebugBase/glance
Run E2E browser tests on any web application using Glance MCP.
CodeAlive-AI/ai-driven-development
A skill your agent uses when testing Windows 11 desktop apps (WinForms/WPF/UWP) via UFO UIA/Win32 automation MCP.
SepineTam/mcp-for-stata
Run a local smoke test for the Stata-MCP server. An agent skill from SepineTam/mcp-for-stata.
tacticlaunch/mcp-linear
Run safe live smoke tests for mcp-linear against a real Linear workspace.
comol/ai_rules_1c
Overlay a numbered grid on an image to determine column proportions for layout generation.
comol/ai_rules_1c
Convert a Markdown file to DOCX (Word). An agent skill from comol/ai_rules_1c.
comol/ai_rules_1c
Transcribe video and audio files via Gemini API. An agent skill from comol/ai_rules_1c.
comol/ai_rules_1c
Find BSL code in a 1C project — routines by name, code by behaviour or exact literal, module layout, members of a context — through the graph and code-metadata MCP servers before any Grep.
comol/ai_rules_1c
1C configuration repository (хранилище) — status, history, diff, lock, update, commit, unlock, dump; lock before edit, commit after verify.
comol/ai_rules_1c
Search reusable 1C code templates with the task text and adapt a fitting result.
Works with
Categories
UI checks in the 1C thin client through QA MCP (1c-qa, qa / ui): session, observe → act → assert, platform behaviour, unknown outcomes, journal and verdicts. 1c QA Testing is an agent skill from comol/ai_rules_1c. UI checks in the 1C thin client through QA MCP (1c-qa, qa / ui): session, observe → act → assert, platform behaviour, unknown outcomes, journal and verdicts.
1c QA Testing fits situations like: tasks that involve QA and bug reports; tasks that involve MCP servers.
Run `npx skills add comol/ai_rules_1c --skill 1c-qa-testing -a claude-code`. Or copy the skill folder (content/skills/1c-qa-testing in comol/ai_rules_1c) into .claude/skills/1c-qa-testing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add comol/ai_rules_1c --skill 1c-qa-testing -a codex`. Or copy the skill folder (content/skills/1c-qa-testing in comol/ai_rules_1c) into .agents/skills/1c-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 comol/ai_rules_1c --skill 1c-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/1c-qa-testing, .gemini/skills/1c-qa-testing, .github/skills/1c-qa-testing and .opencode/skills/1c-qa-testing in your project.
Going by SKILL.md and its folder, 1c QA Testing needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for 1c QA Testing or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.4k tokens (SKILL.md is roughly 9.5k 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 1c QA Testing: Testing Scope MCP (daydreamlive/scope, 452 stars), Agentacct Workflow (mikehasa/agentacct, 765 stars), Glance Test (DebugBase/glance, 156 stars) and Windows QA Engineer (CodeAlive-AI/ai-driven-development, 155 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
comol (a GitHub user) maintains it in comol/ai_rules_1c, which has 480 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 6, 2026.
Source: comol/ai_rules_1c on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.