Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/math-inc/opengauss/claude-codenpx skills add math-inc/OpenGauss --skill claude-codegit clone --depth 1 https://github.com/math-inc/OpenGaussWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.00804 |
| Opus 5 | $0.00019 | $0.00402 |
| Sonnet 5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
claude-code scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- claude-code — 94% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code
Delegate coding tasks to Claude Code via the Gauss terminal. Claude Code is Anthropic's autonomous coding agent CLI.
Prerequisites
- Claude Code installed:
npm install -g @anthropic-ai/claude-code - Authenticated: run
claudeonce to log in - Use
pty=truein terminal calls — Claude Code is an interactive terminal app
One-Shot Tasks
terminal(command="claude 'Add error handling to the API calls'", workdir="/path/to/project", pty=true)
For quick scratch work:
terminal(command="cd $(mktemp -d) && git init && claude 'Build a REST API for todos'", pty=true)
Background Mode (Long Tasks)
For tasks that take minutes, use background mode so you can monitor progress:
# Start in background with PTY
terminal(command="claude 'Refactor the auth module to use JWT'", workdir="~/project", background=true, pty=true)
# Returns session_id
# Monitor progress
process(action="poll", session_id="<id>")
process(action="log", session_id="<id>")
# Send input if Claude asks a question
process(action="submit", session_id="<id>", data="yes")
# Kill if needed
process(action="kill", session_id="<id>")
PR Reviews
Clone to a temp directory to avoid modifying the working tree:
terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && claude 'Review this PR against main. Check for bugs, security issues, and style.'", pty=true)
Or use git worktrees:
terminal(command="git worktree add /tmp/pr-42 pr-42-branch", workdir="~/project")
terminal(command="claude 'Review the changes in this branch vs main'", workdir="/tmp/pr-42", pty=true)
Parallel Work
Spawn multiple Claude Code instances for independent tasks:
terminal(command="claude 'Fix the login bug'", workdir="/tmp/issue-1", background=true, pty=true)
terminal(command="claude 'Add unit tests for auth'", workdir="/tmp/issue-2", background=true, pty=true)
# Monitor all
process(action="list")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 95 lines · 39 tokens per session scan A 8b27c4c3f208
claude-code is a skill published in the GitHub repository math-inc/OpenGauss (1,260 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 804 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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systematic-debugging
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brainstorming
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chat-pet-sprite-creation
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cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.