Agent Interface Design
Neeeophytee/finding-unknowns-skills
Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples.
Validate the Dear Agent TXT input, approval and artifact delivery loop.
Install Runtime Smoke
$ npx skills add ljxpython/ai-agent-platform --skill runtime-smoke -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ljxpython/ai-agent-platform runtime-smoke --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/ljxpython/ai-agent-platform.git skills-src && mkdir -p .claude/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .claude/skills/runtime-smoke && 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 "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .claude/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smokeType 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 ljxpython/ai-agent-platform --skill runtime-smoke -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ljxpython/ai-agent-platform runtime-smoke --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .agents/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .agents/skills/runtime-smoke && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .agents/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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 ljxpython/ai-agent-platform --skill runtime-smoke -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ljxpython/ai-agent-platform runtime-smoke --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .cursor/skills/runtime-smoke && 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 "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .cursor/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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/ljxpython/ai-agent-platform.git --path apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke--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 ljxpython/ai-agent-platform --skill runtime-smoke -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ljxpython/ai-agent-platform runtime-smoke --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .gemini/skills/runtime-smoke && 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 "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .gemini/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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 ljxpython/ai-agent-platform runtime-smokeInstalls 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 ljxpython/ai-agent-platform --skill runtime-smoke -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .github/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .github/skills/runtime-smoke && 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 "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .github/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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 ljxpython/ai-agent-platform --skill runtime-smoke -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ljxpython/ai-agent-platform runtime-smoke --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ljxpython/ai-agent-platform.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke .opencode/skills/runtime-smoke && 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 "runtime-smoke" agent skill from https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke into .opencode/skills/runtime-smoke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runtime-smoke", 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
runtime-smoke- GitHub stars
- 137
- Token cost
- ~121 tokens
- SKILL.md length
- 45 words
- Files
- 2
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- None found
At a glance
Validate the Dear Agent TXT input, approval and artifact delivery loop.
- AI & LLM Engineering work in your project
- Runs Python scripts from its folder
What it does
Runtime Smoke is an agent skill from ljxpython/ai-agent-platform. Validate the Dear Agent TXT input, approval and artifact delivery loop.
Its SKILL.md is about 120 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `check_text.py`).
It sits in AI & LLM Engineering. It works with Model Context Protocol. The repository describes itself as: 企业级 AI Agent 平台底座，基于 LangGraph 生态体系二次开发，开箱即用（FastAPI + Vue 3 + MCP + Skills + 沙箱工作区 + 长期记忆）.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/runtime-smoke”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4926590. 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
Ships script files (Python), which the agent can run.
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
Runtime Smoke loads about 121 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 45 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 45 words (~121 tokens).
“Read the user input from /workspace/uploads/. Ask about missing requirements first. Write the requested result under /workspace/work/, using approved tools. When execution is required, run python /skills/runtime-smoke/check_text.py /workspace/work/result.txt. Publish the verified text with present_artifacts. This is a platform smoke skill…”
- name
- runtime-smoke
Files
SKILL.md and 1 other file in apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke of ljxpython/ai-agent-platform.
- SKILL.md
- check_text.py
Open the folder on GitHubat commit 4926590
Compare with similar skills
Runtime Smoke 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 |
|---|---|---|---|---|---|---|
| Runtime Smoke this skillljxpython/ai-agent-platform | 137 | — | ~121 | Automated safety check: Pass | None | |
| Agent Interface DesignNeeeophytee/finding-unknowns-skills | 343 | — | ~650 | Automated safety check: Pass | MIT | |
| Backend Architectureovermind-core/overmind | 597 | — | ~10k | Automated safety check: Pass | AGPL-3.0 | |
| Hive MCP Skillholon-run/uxc | 116 | — | ~971 | Automated safety check: Pass | MIT | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Hugging Face LLM Trainerhuggingface/skills | 11k | 3 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 |
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Verify Change
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Related
Works with
Categories
Questions about Runtime Smoke
What does Runtime Smoke do?
Validate the Dear Agent TXT input, approval and artifact delivery loop. Runtime Smoke is an agent skill from ljxpython/ai-agent-platform. Validate the Dear Agent TXT input, approval and artifact delivery loop.
When should I use Runtime Smoke?
Runtime Smoke fits situations like: AI & LLM Engineering work in your project.
How do I install Runtime Smoke in Claude Code?
Run `npx skills add ljxpython/ai-agent-platform --skill runtime-smoke -a claude-code`. Or copy the skill folder (apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke in ljxpython/ai-agent-platform) into .claude/skills/runtime-smoke in your project. Claude Code loads it when a task matches its description.
How do I install Runtime Smoke in Codex?
Run `npx skills add ljxpython/ai-agent-platform --skill runtime-smoke -a codex`. Or copy the skill folder (apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/runtime-smoke in ljxpython/ai-agent-platform) into .agents/skills/runtime-smoke in your project. Codex loads it when a task matches its description.
Can I use Runtime Smoke 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 ljxpython/ai-agent-platform --skill runtime-smoke -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/runtime-smoke, .gemini/skills/runtime-smoke, .github/skills/runtime-smoke and .opencode/skills/runtime-smoke in your project.
What does Runtime Smoke need to run?
Going by SKILL.md and its folder, Runtime Smoke needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Runtime Smoke 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 Runtime Smoke 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 Runtime Smoke use?
No licence was found for Runtime Smoke or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Runtime Smoke use?
About 121 tokens (SKILL.md is roughly 484 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 Runtime Smoke?
Skills that share tags, products or a category with Runtime Smoke: Agent Interface Design (Neeeophytee/finding-unknowns-skills, 343 stars), Backend Architecture (overmind-core/overmind, 597 stars), Hive MCP Skill (holon-run/uxc, 116 stars) and Codebase Management (giancarloerra/SocratiCode, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Runtime Smoke?
ljxpython (a GitHub user) maintains it in ljxpython/ai-agent-platform, which has 137 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 8, 2026.
Source: ljxpython/ai-agent-platform on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.