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 skills add synthesisengineering/synthesis-skills --skill synthesis-llm-setupgit clone --depth 1 https://github.com/synthesisengineering/synthesis-skillsWrote 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/synthesisengineering/synthesis-skills/synthesis-llm-setup)<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-llm-setup"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-llm-setup/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/synthesisengineering/synthesis-skills/synthesis-llm-setup"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-llm-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01685 |
| Opus 5 | $0.00030 | $0.00843 |
| Sonnet 5 | $0.00012 | $0.00337 |
| Haiku 4.5 | $0.00006 | $0.00169 |
Grade A, and why
synthesis-llm-setup 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 9d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Setup
Configure Claude Projects, ChatGPT GPTs, Gemini Gems, and other LLM platforms using compiled AI Knowledge content from the ragbot system.
Configuration
These values are user-specific. Update them for your environment.
| Setting | Value | Description |
|---|---|---|
ai_knowledge_repo |
ai-knowledge-{name}/ |
Your ai-knowledge repository root |
compiled_instructions_path |
compiled/{project}/instructions/ |
Path to LLM-specific compiled instructions |
knowledge_file |
all-knowledge.md |
Concatenated knowledge file (auto-generated by CI/CD) |
source_dir |
source/ |
Directory to edit directly (knowledge concatenation is automatic) |
Architecture overview
The AI Knowledge system produces platform-specific content for each LLM's project/custom instruction system.
| Operation | Where | When |
|---|---|---|
Knowledge concatenation (all-knowledge.md) |
CI/CD (GitHub Actions) | Every push to source/ |
| Instruction compilation | Local (ragbot compile) |
When instructions change (rare) |
| RAG indexing | Local (ragbot index) |
When content changes and RAG is needed |
Output structure
ai-knowledge-{name}/
├── compiled/
│ └── {project}/
│ └── instructions/ # LLM-specific custom instructions
│ ├── claude.md
│ ├── chatgpt.md
│ └── gemini.md
└── all-knowledge.md # Concatenated knowledge (auto-generated by CI/CD)
Key principle: Edit source/ files directly. Knowledge concatenation is automatic.
Knowledge delivery strategy:
- Claude: GitHub sync the repo (Claude reads
all-knowledge.mddirectly) - ChatGPT: Upload
all-knowledge.md - Gemini: Upload
all-knowledge.md(works within the 10-file Gem limit)
Claude Projects setup
Custom instructions
- Create a new Claude Project (or open an existing one).
- Go to Project Knowledge, then Custom Instructions.
- Copy content from
compiled/{project}/instructions/claude.md. - Paste into the custom instructions field.
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.
- 9d ago First seen · 211 lines · 61 tokens per session scan A 7e9728512f8a
synthesis-llm-setup is a skill published in the GitHub repository synthesisengineering/synthesis-skills (18 stars, last pushed 2d ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,685 once invoked, about $0.0003 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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