Borrowing it
Nothing to install: this file belongs to llama-farm/llamafarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/llama-farm/llamafarm/main/.claude/skills/generate-subsystem-skills/SKILL.mdgit clone --depth 1 https://github.com/llama-farm/llamafarmWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/llama-farm/llamafarm/generate-subsystem-skills)<a href="https://agentmods.dev/skills/llama-farm/llamafarm/generate-subsystem-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/generate-subsystem-skills/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/llama-farm/llamafarm/generate-subsystem-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/generate-subsystem-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 141 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What 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 5.1 | $0.00034 | $0.01121 |
| Opus 5 | $0.00017 | $0.00561 |
| Sonnet 5 | $0.00007 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
generate-subsystem-skills 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Subsystem Skills
This skill analyzes each subsystem in the LlamaFarm monorepo and generates specialized Claude Code skills for security, performance, and language-specific best practices.
Usage
/generate-subsystem-skills
What Gets Generated
Shared Language Skills (4)
python-skills/- Used by: server, rag, runtime, config, commongo-skills/- Used by: clitypescript-skills/- Used by: designer, electronreact-skills/- Used by: designer
Subsystem-Specific Skills (8)
cli-skills/- Cobra, Bubbletea patternsserver-skills/- FastAPI, Celery, Pydantic patternsrag-skills/- LlamaIndex, ChromaDB patternsruntime-skills/- PyTorch, Transformers patternsdesigner-skills/- TanStack Query, Tailwind, Radix patternselectron-skills/- Electron IPC, security patternsconfig-skills/- Pydantic, JSONSchema patternscommon-skills/- HuggingFace Hub patterns
Generation Process
Step 1: Read Registry
Load subsystem definitions from subsystem-registry.md.
Step 2: Generate Shared Language Skills
Launch sub-agents IN PARALLEL to generate:
-
Python Skills Agent - Analyze Python subsystems (server, rag, runtime, config, common), identify ideal patterns, generate
python-skills/ -
Go Skills Agent - Analyze CLI subsystem, identify ideal Go patterns, generate
go-skills/ -
TypeScript Skills Agent - Analyze designer and electron, identify ideal TS patterns, generate
typescript-skills/ -
React Skills Agent - Analyze designer, identify ideal React 18 patterns, generate
react-skills/
Step 3: Generate Subsystem Skills
Launch sub-agents IN PARALLEL for each subsystem:
For each subsystem, the agent should:
- Read the subsystem's dependency files (package.json, pyproject.toml, go.mod)
- Analyze code patterns using Grep and Read
- Generate SKILL.md that links to shared language skills
- Generate framework-specific checklist files
- Write all files to
.claude/skills/{subsystem}-skills/
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 158 lines · 34 tokens per session scan A 92bd2f74b0c4
generate-subsystem-skills is a skill published in the GitHub repository llama-farm/llamafarm (838 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,121 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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