PostHog CLI Queries
debugtheworldbot/keyStats
Runs HogQL queries against this project's PostHog data from the terminal using posthog-cli, with bundled scripts for dashboard metadata the CLI itself has no command for.
Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g.
Install Catgo Campaign
$ npx skills add Hello-QM/catgo-LRG --skill catgo-campaign -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-campaign --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/server/catgo/workflow/skills/catgo-campaign .claude/skills/catgo-campaign && 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 "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .claude/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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/server/catgo/workflow/skills/catgo-campaignType 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 catgo-campaign -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-campaign --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/server/catgo/workflow/skills/catgo-campaign .agents/skills/catgo-campaign && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .agents/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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 catgo-campaign -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-campaign --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/server/catgo/workflow/skills/catgo-campaign .cursor/skills/catgo-campaign && 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 "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .cursor/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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 server/catgo/workflow/skills/catgo-campaign--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 catgo-campaign -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG catgo-campaign --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/server/catgo/workflow/skills/catgo-campaign .gemini/skills/catgo-campaign && 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 "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .gemini/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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 catgo-campaignInstalls 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 catgo-campaign -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/server/catgo/workflow/skills/catgo-campaign .github/skills/catgo-campaign && 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 "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .github/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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 catgo-campaign -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 catgo-campaign --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/server/catgo/workflow/skills/catgo-campaign .opencode/skills/catgo-campaign && 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 "catgo-campaign" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/catgo-campaign into .opencode/skills/catgo-campaign/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "catgo-campaign", 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
catgo-campaign- GitHub stars
- 205
- Token cost
- ~1k tokens
- SKILL.md length
- 503 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g.
- Works in 9 steps: Scaffold at the user's chosen location → Plan — ASK the user: brainstorm the plan… → Reference script (optional): catgo… → …
- The user says 跑一个 campaign
- SKILL.md covers Launcher (works from any…, Before anything: confirm the…, Steps and Notes
- Calls pip
What it does
Catgo Campaign is an agent skill from Hello-QM/catgo-LRG. Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g. SAA HER screening) driven from a human-readable folder + markdown tree, not the DB workflow engine. Use when the user says "跑一个 campaign", "md 模式跑", "high-throughput screening", or wants an agent-in-the-loop study with stages/funnel/analysis/report. Requires catgo on PATH.
Its SKILL.md is about 1k 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 Data & Analytics, covering Product analytics. 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.
When your agent uses it
- The user says 跑一个 campaign
- High-throughput screening
- Wants an agent-in-the-loop study with stages/funnel/analysis/report
Example prompts
- “campaign”
- “跑一个 campaign”
- “md 模式跑”
- “/catgo-campaign”
Requirements
- Python 3
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Scaffold at the user's chosen location
- Plan — ASK the user: brainstorm the plan together (literature-grounded, one
- Reference script (optional): catgo campaign fetch-ref --project --ssh --remote_path <.sb>
- Per calc: build inputs into the LOCAL calc folder, then the input-file gate (below),
- Loop (~10 min, user-triggered): catgo campaign poll --project --ssh
- At a stage / decision point: catgo campaign aggregate --project --plot
- Report: catgo campaign report --project --occasion groupmeeting
- Literature: catgo campaign ingest --project --pdf (MinerU) or
- Archive (clean the tree, never auto-decide): catgo campaign archive --project --list
What it can do on your machine
Read from SKILL.md and the folder at commit fd6291b. 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
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Catgo Campaign loads about 1k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 503 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 Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 503 words, ~1,042 tokens.
Download SKILL.mdSave it as
.claude/skills/catgo-campaign/SKILL.md (or your agent's skills folder).- name
- catgo-campaign
- description
- Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g. SAA HER screening) driven from a human-readable folder + markdown tree, not the DB workflow engine. Use when the user says "跑一个 campaign", "md 模式跑", "high-throughput screening", or wants an agent-in-the-loop study with stages/funnel/analysis/report. Requires `catgo` on PATH.
catgo-campaign — run a file-first computational campaign
A "campaign" = a coordinated multi-step study (many calculations → analysis → report)
toward one research goal. This skill drives it via the portable catgo campaign CLI,
which dispatches to CatGo's campaign reference scripts.
Launcher (works from any directory)
Run via the catgo CLI:
catgo campaign <action> ...With an editable install (pip install -e <repo>/server) the CLI reflects the LIVE repo
source, so edits to the campaign scripts/SKILL take effect immediately, no reinstall.
If catgo is not on PATH (env not activated), use the entry point inside its python
env directly: <env-prefix>/bin/catgo campaign ....
In the steps below, catgo campaign means that launcher.
Before anything: confirm the environment (NEVER guess)
Ask the user and record in cluster.md: which cluster + SSH host/account +
partition/walltime/ntasks, the compute binary + load method (module/conda/full path +
run command), the POTCAR/pseudopotential root, the python env, and the remote base dir.
The user may give a reference job script (local or a path on the cluster — pull it with
catgo campaign fetch-ref). catgo campaign submit REFUSES until cluster.md is
complete. A wrong path fails every job — if unsure, STOP and ask.
Steps
Scaffold at the user's chosen location:
catgo campaign new /path/to/Project --name "<name>" --template saa_her|blankPlan — ASK the user: brainstorm the plan together (literature-grounded, one question at a time, propose approaches) OR use the template / generate directly.
Reference script (optional):
catgo campaign fetch-ref --project <dir> --ssh <alias> --remote_path <.sb>Per calc: build inputs into the LOCAL calc folder, then the input-file gate (below), then
catgo campaign submit --project <dir> --calc calc/<stage>/<candidate> --ssh <alias>(skip the gate only on explicit YOLO opt-in).⛔ INPUT-FILE GATE (hard rule — catgo-campaign + autochem). Before ANY submit (and after a calc converges, before building the NEXT step's inputs): sync the CONTCAR and the INCAR to the LOCAL campaign folder, and tell the user the exact LOCAL file paths of the INCAR + CONTCAR. The user reviews / edits / confirms the files THEMSELVES on disk. Submit ONLY after the user explicitly confirms. Do NOT push structures to the CatGO viewer as a substitute for local-file review of inputs, and NEVER auto-submit. (Waived only by explicit YOLO.)
Loop (~10 min, user-triggered):
catgo campaign poll --project <dir> --ssh <alias>marks DONE/FAILED via squeue→sacct. A scheduler DONE != converged — open the work_dir outputs to confirm, write numbers into the calc'sresult.md, log gotchas inLESSONS.md.At a stage / decision point:
catgo campaign aggregate --project <dir> --plot(ranking / volcano / funnel), then checkpoint with the user.Report:
catgo campaign report --project <dir> --occasion groupmeetingLiterature:
catgo campaign ingest --project <dir> --pdf <p.pdf>(MinerU) or--repo <url> --purpose "…".Archive (clean the tree, never auto-decide):
catgo campaign archive --project <dir> --listproposes FAILED calcs (funnel rejects are kept as data); move one only on the user's explicit OK:catgo campaign archive --project <dir> --calc calc/<stage>/<name> --reason "…".
Show full SKILL.md (32 more words)Show less
Notes
- Default to a review gate (user-in-the-loop); only auto-advance on explicit opt-in.
- Full conventions live in the in-repo skill
server/catgo/workflow/skills/campaign/SKILL.md(read it for the folder layout, progressive-md rules, two-level plan, gate details).
© 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
Files
Just SKILL.md in server/catgo/workflow/skills/catgo-campaign of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Compare with similar skills
Catgo Campaign 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 |
|---|---|---|---|---|---|---|
| Catgo Campaign this skillHello-QM/catgo-LRG | 205 | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| PostHog CLI Queriesdebugtheworldbot/keyStats | 1.5k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Retentioneering Contributingretentioneering/retentioneering-tools | 927 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Retentioneering Product Analyticsretentioneering/retentioneering-tools | 927 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Feature Analytics Instrumentation Plannermistralai/mistral-vibe | 5.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Funnel Analysisliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~781 | Automated safety check: Notes | None |
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Feature Analytics Instrumentation Planner
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Plans which analytics events and properties a new feature needs, checks them against the existing event registry, and verifies them per environment.
Funnel Analysis
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Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.
Event Tracking
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Related
Categories
Questions about Catgo Campaign
What does Catgo Campaign do?
Run a CatGo file-first md-orchestration "campaign" — a multi-step / high-throughput computational-materials study (e.g. Catgo Campaign is an agent skill from Hello-QM/catgo-LRG.g.
When should I use Catgo Campaign?
Catgo Campaign fits situations like: the user says 跑一个 campaign; high-throughput screening; wants an agent-in-the-loop study with stages/funnel/analysis/report.
How do I install Catgo Campaign in Claude Code?
Run `npx skills add Hello-QM/catgo-LRG --skill catgo-campaign -a claude-code`. Or copy the skill folder (server/catgo/workflow/skills/catgo-campaign in Hello-QM/catgo-LRG) into .claude/skills/catgo-campaign in your project. Claude Code loads it when a task matches its description.
How do I install Catgo Campaign in Codex?
Run `npx skills add Hello-QM/catgo-LRG --skill catgo-campaign -a codex`. Or copy the skill folder (server/catgo/workflow/skills/catgo-campaign in Hello-QM/catgo-LRG) into .agents/skills/catgo-campaign in your project. Codex loads it when a task matches its description.
Can I use Catgo Campaign 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 Hello-QM/catgo-LRG --skill catgo-campaign -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/catgo-campaign, .gemini/skills/catgo-campaign, .github/skills/catgo-campaign and .opencode/skills/catgo-campaign in your project.
What does Catgo Campaign need to run?
Going by SKILL.md and its folder, Catgo Campaign needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Catgo Campaign access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Catgo Campaign 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 Catgo Campaign use?
Catgo Campaign 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.
How many tokens does Catgo Campaign use?
About 1k tokens (SKILL.md is roughly 4.2k 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 Catgo Campaign?
Skills that share tags, products or a category with Catgo Campaign: PostHog CLI Queries (debugtheworldbot/keyStats, 1.5k stars), Retentioneering Contributing (retentioneering/retentioneering-tools, 927 stars), Retentioneering Product Analytics (retentioneering/retentioneering-tools, 927 stars) and Feature Analytics Instrumentation Planner (mistralai/mistral-vibe, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Catgo Campaign?
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.