Inspect
agentevals-dev/agentevals
Inspect and debug live streaming agent sessions to understand what the agent did.
A skill your agent uses when the user asks to create, build, inspect, validate, or run computational workflows, DAG pipelines, relaxation→static chains, NEB/IRC workflows, or HPC job submission flows.
$ npx skills add Hello-QM/catgo-LRG --skill workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG workflow --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/catbot-plugin/skills/workflow .claude/skills/workflow && 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 "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .claude/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflowType 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 Hello-QM/catgo-LRG --skill workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/catbot-plugin/skills/workflow .agents/skills/workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .agents/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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 Hello-QM/catgo-LRG --skill workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/catbot-plugin/skills/workflow .cursor/skills/workflow && 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 "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .cursor/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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/Hello-QM/catgo-LRG.git --path catbot-plugin/skills/workflow--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 Hello-QM/catgo-LRG --skill workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/catbot-plugin/skills/workflow .gemini/skills/workflow && 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 "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .gemini/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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 Hello-QM/catgo-LRG workflowInstalls 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 Hello-QM/catgo-LRG --skill workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/catbot-plugin/skills/workflow .github/skills/workflow && 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 "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .github/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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 Hello-QM/catgo-LRG --skill workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Hello-QM/catgo-LRG workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/catbot-plugin/skills/workflow .opencode/skills/workflow && 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 "workflow" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/catbot-plugin/skills/workflow into .opencode/skills/workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow", 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.
workflowA skill your agent uses when the user asks to create, build, inspect, validate, or run computational workflows, DAG pipelines, relaxation→static chains, NEB/IRC workflows, or HPC job submission flows.
Workflow is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to create, build, inspect, validate, or run computational workflows, DAG pipelines, relaxation→static chains, NEB/IRC workflows, or HPC job submission flows.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fd6291b. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
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.
Workflow loads about 802 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 302 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 Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 302 words, ~802 tokens.
.claude/skills/workflow/SKILL.md (or your agent's skills folder).All MCP workflow operations use the single catgo_workflow tool with an action parameter.
Do not assume old workflow docs are still correct.
Important current behavior:
create creates a workflow that already contains one structure_input node.run starts execution immediately. It does not open a confirmation dialog.connect defaults both handles to structure if omitted.node_types is only a discovery list. It does not give full node schema.| Action | Purpose | Required Params |
|---|---|---|
list | List all workflows | — |
templates | List available templates | — |
node_types | List node types by category | category? |
create | Create workflow | name, template_id? |
get | Read workflow graph | workflow_id |
add_node | Add node | workflow_id, node_type, params? |
remove_node | Remove node | workflow_id, node_id |
connect | Connect nodes | workflow_id, from_id, to_id, from_handle?, to_handle? |
set_params | Update params | workflow_id, node_id, params |
validate | Validate graph | workflow_id |
run | Start execution immediately | workflow_id, run_config? |
pause | Pause workflow | workflow_id |
resume | Resume workflow | workflow_id, run_config? |
status | Get run status | workflow_id |
step_error | Get failure detail | workflow_id, step_id |
node_types first for coarse discovery.templates if the user wants a preset.{"action": "create", "name": "TiO2 slab workflow"}Immediately after create:
getstructure_input unless the workflow truly needs multiple independent inputs{"action": "add_node", "workflow_id": "...", "node_type": "geo_opt"}
{"action": "add_node", "workflow_id": "...", "node_type": "single_point"}{"action": "set_params", "workflow_id": "...", "node_id": "...", "params": {"software": "vasp", "ENCUT": 520}}Only omit handles when both sides are obviously single-structure nodes.
Safer form:
{
"action": "connect",
"workflow_id": "...",
"from_id": "n1",
"to_id": "n2",
"from_handle": "structure",
"to_handle": "structure"
}create returns an empty graph.structure_input after create.connect can guess the right handle for multi-port nodes.validate warnings as harmless.run before the user has provided a valid run configuration when HPC settings matter.node_typescreategetadd_nodeset_paramsconnect with explicit handles when neededvalidategetrun© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in catbot-plugin/skills/workflow of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Workflow 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 |
|---|---|---|---|---|---|---|
| Workflow this skillHello-QM/catgo-LRG | 205 | — | ~802 | Automated safety check: Pass | AGPL-3.0 | |
| Inspectagentevals-dev/agentevals | 162 | — | ~534 | Automated safety check: Pass | Apache-2.0 | |
| InspectArman-Kudaibergenov/1c-ai-development-kit | 166 | — | ~3.4k | Automated safety check: Notes | AGPL-3.0 | |
| Inspectbluzir/claude-code-design | 106 | — | ~1.1k | Automated safety check: Pass | None | |
| Node Inspect Debuggeropenclaw/openclaw | 392k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Blender Motion State Inspectionaffaan-m/ECC | 275k | 1 repos | ~2k | Automated safety check: Pass | MIT |
agentevals-dev/agentevals
Inspect and debug live streaming agent sessions to understand what the agent did.
Arman-Kudaibergenov/1c-ai-development-kit
Этот скилл MUST быть вызван для анализа и инспекции любого объекта 1С из XML-выгрузки: конфигурация (cf-info), объект метаданных (meta-info), управляемая форма (form-info), схема компоновки данных…
bluzir/claude-code-design
Resolve a natural-language element description ("the red button in the hero", "the third card from the top") to a concrete DOM element in the current preview + source-code location.
openclaw/openclaw
Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.
affaan-m/ECC
A skill your agent uses when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.
felixrieseberg/windows95
Inspect or modify the Windows 95 disk image offline with mtools — no QEMU, no Electron, no boot.
Hello-QM/catgo-LRG
Drive a file-first, agent-in-the-loop computational campaign via a folder + markdown tree (no DB).
Hello-QM/catgo-LRG
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials.
Hello-QM/catgo-LRG
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Hello-QM/catgo-LRG
Generate and manage ABINIT DFT calculations. An agent skill from Hello-QM/catgo-LRG.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
A skill your agent uses when the user asks to create, build, inspect, validate, or run computational workflows, DAG pipelines, relaxation→static chains, NEB/IRC workflows, or HPC job submission flows. Workflow is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to create, build, inspect, validate, or run computational workflows, DAG pipelines, relaxation→static chains, NEB/IRC workflows, or HPC job submission flows.
Workflow fits situations like: the user asks to create; run computational workflows; relaxation→static chains; NEB/IRC workflows.
Run `npx skills add Hello-QM/catgo-LRG --skill workflow -a claude-code`. Or copy the skill folder (catbot-plugin/skills/workflow in Hello-QM/catgo-LRG) into .claude/skills/workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill workflow -a codex`. Or copy the skill folder (catbot-plugin/skills/workflow in Hello-QM/catgo-LRG) into .agents/skills/workflow 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 Hello-QM/catgo-LRG --skill workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow, .gemini/skills/workflow, .github/skills/workflow and .opencode/skills/workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Workflow is instructions for the agent only.
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. Review the folder before installing.
Workflow is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 802 tokens (SKILL.md is roughly 3.2k 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 Workflow: Inspect (agentevals-dev/agentevals, 162 stars), Inspect (Arman-Kudaibergenov/1c-ai-development-kit, 166 stars), Inspect (bluzir/claude-code-design, 106 stars) and Node Inspect Debugger (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.
Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.